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Most culture problems start with people leaders not having what they need to support their teams: skills, habits, systems, and clarity. That’s why we built our diagnostic platform, CulturOS - so we can help HR transform culture through better leaders and smarter systems, powered by AI diagnostics and a 21-Day Executive Board-Ready Blueprint that accelerates culture transformation in weeks, not months. 

CulturWorks diagnoses precisely what levers drive culture, where trust is strong or fading, and which behaviours will create the fastest lift. Then we execute and operationalize all of the data through targeted leadership training, coaching, community cohorts, hands-on implementation support, and reinforced through our online leadership platform, CulturWorks Academy. Insights become consistent habits, and culture change becomes practical, predictable, and measurable. 

Our Promise to You: If progress stalls, we stay with you at no charge until it’s back on track.

Before founding CulturWorks, I spent 20 years as an employment and human rights lawyer. The courtroom taught me the limits of compliance. The real insight came later: most conflict isn’t legal at all—it’s cultural. People want clarity, consistency, and leaders they trust. That’s when I realized I didn’t want to fight about workplaces. I wanted to fix them.

Since 2008, CulturWorks has grown into a multidisciplinary team blending law, psychology, sociology, neuroscience, analytics, and AI. Our diagnostic system, CulturOS, identifies the real drivers of culture and gives leaders a clear, board-ready roadmap to improve trust, retention, and performance quickly.

Our impact includes:
• Average 340% ROI from reduced turnover and higher productivity
• Trusted by 600+ organizations and the data of over 400,000+ employees
• Early momentum in weeks, not quarters
• Executive-ready insights leaders can act on immediately

At CulturWorks, we turn analytics into action, insight into leadership habits, and culture into a scince-backed system organizations can rely on. If you’re an HR, People, or Operations leader ready to transform your culture, build strong leaders, have high retention, and all with zero chaos, reach out to our Transformation Team at transform@culturworks.com.

Naveen Mehta

Powerful, thoughtful, practical, bold. 

Canadian Prime Minister Mark Carney delivered what the world needed to hear today - a strong speech in Davos. Clear, steady, and grounded in values instead of theatre. He named the moment for what it is: the world is under strain, power is being used more bluntly, and pretending everything will revert back is not a plan.

What I respected most was the moral clarity. He pushed back on the idea that you keep yourself safe by staying quiet or playing along. He warned about the danger of normalizing what you do not actually believe, until the lie becomes the system.

That is culture, at every level. Culture is what we reward, tolerate, and defend when pressure rises. In a workplace. In a family. In a club. In a country. Globally.

The culture worth building is built on shared ethics we are willing to act on together: dignity, sovereignty, fairness, truth, and responsibility. It requires people who can think beyond themselves, who can hold the line on principles while still doing the hard work of building relationships and cooperation.

The culture we cannot normalize is coercion with polite language. Bullying as strategy. Fear as governance. Scapegoating as unity. That path does not create strength. It creates damage, then calls it reality.

Carney’s speech set a standard. Calm leadership under real strain, anchored in values, and aimed at bringing the willing together to build something better. Proud in the face of difficult times ahead.

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Here’s a line that usually makes HR rooms go quiet:

Most organizations don’t have a culture problem.
They have a leadership tolerance problem.

They tolerate poor coaching because the leader delivers results.
They tolerate burnout because “that’s the business.”
They tolerate silence because conflict feels risky.

Then they call it an engagement issue.

Here’s what 20 years of research and work with hundreds of organizations has taught us: culture is not shaped by what you reward on paper. It’s shaped by what you tolerate under pressure.

If a leader hits targets but erodes trust, culture pays the bill.
If managers are unclear, people disengage quietly.
If HR sees the pattern but leaders don’t act, the system stays broken.

This is why culture work fails when it stays abstract.

Real change follows a sequence most organizations skip:

Data determines learning.
Learning determines behavior.
Behavior determines culture.

When HR uses data to surface what’s being tolerated, leaders can’t hide behind intent. Learning becomes specific. Behavior becomes visible. Culture finally moves.

If nothing changes in 2026, ask yourself this:
What behaviors are we still tolerating that are costing us people, credibility, and performance?

Culture isn’t a strategy. It’s THE strategy.
What’s your next move?

P.S. If this resonates, join LEADING CULTURE.

You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real-world application.

https://lnkd.in/gMw68Pc8

Canada is a newcomer nation.

But most workplaces still treat newcomer hiring like a staffing win and then hope it works out.

HOPE IS NOT A STRATEGY.

Almost one in four people in Canada is an immigrant.  

In 2023, immigrants made up 28.9% of the Canadian labour force.

And many recent immigrants still land in lower skilled roles early on, even when they bring strong capability.  

So here is the real problem.

Most HR teams don’t total the true cost of turnover.  If you hire newcomers but do not build the environment for them to succeed, you pay for it dearly: 

Based on our research, conservatively here’s what a 21% turnover rate looks like in a 1,000 employee distribution company (about 210 exits a year), totaling about $14M.

RECRUITING SPEND (ads, agencies, background checks):   $6.M
OVERTIME AND TEMP BACKFILL:   $2.2M
TRAINING AND RAMP UP (trainers, buddies, materials):   $1.5M
LOST PRODUCTIVITY DURING RAMP:   $1.2M
ERRORS, REWORK, DAMAGE, RETURNS:   $1.0M
SUPERVISOR AND TEAM LEAD TIME (extra coaching, troubleshooting): $0.9M
HR AND ADMIN TIME (screening, scheduling, offers, paperwork): $0.6M
SAFETY INCIDENTS AND CLAIMS UPLIFT:   $0.4M
ONBOARDING AND SETUP (PPE, uniforms, IT access, badges):   $0.3M
SEPARATION AND DISPUTE COSTS:  $0.1M

Total: about $14M per year.

What works is intentional culture design, especially in the first 90 days of implementation.  Here’s a some highlights from a cheat sheet from one of the programs we built for a client in 2025, who experienced a 682% ROI over the first 12 months:

➡️Clear role expectations.

➡️Real buddy support, not a binder.

➡️Supervisor habits that build trust on day one.

➡️Simple reporting channels that people will actually use.

➡️Early measurement of confidence, clarity, and intent to stay.

When this is operationalized, the return is not small.

In year one, we often see ROI between 208% and over 2000%.
Not because of magic. Because you reduce churn, speed up ramp time, and save hundreds of hours of reactive work across HR, supervisors, and operations.

This is what we have learned and continue to implementfrom 20 years of research and supporting 600+ organizations.

Newcomer hiring is not the finish line. It is the starting line. Culture decides who thrives and who leaves. Start with this HR mindset shift.

Culture isn’t a strategy. It’s THE strategy.

What’s your next move?

P.S. If this resonates, join LEADING CULTURE.

You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real-world application.

https://lnkd.in/gMw68Pc8

It’s 2026. HR leaders know this: Customer experience doesn’t start with the customer.
It starts with culture.

We’ve heard this directly from CEOs time and time again. When service drops, contracts are lost, or reputations take a hit, the root cause is almost never strategy. It’s leadership behaviors, role clarity, workload pressure, and how people actually experience work.

The HR leaders who grow influence fastest in the C suite understand this. They don’t treat customer experience as someone else’s problem. They see it as a cultural outcome and build a plan to execute on it.

As you plan for 2026, here are five moves HR should be making now, with intention.

	1.	Map culture to customer pain
Q1 focus: Identify where internal friction shows up in the customer journey. Missed handoffs, inconsistent standards, frontline burnout.

Q2 output: A clear view of which cultural issues are costing trust and revenue.

	2.	Measure what predicts customer impact
Q1 focus: Go beyond engagement scores. Look at trust in leadership, workload sustainability, and manager follow through in customer facing teams.

Q2 output: Data that explains why customer experience breaks down.

	3.	Equip leaders where it matters most

Q2 focus: Translate insight into targeted learning for leaders who shape daily client interactions.
Q3 output: Visible behavior change in how teams communicate, escalate, and recover issues.

	4.	Align accountability across functions

Q3 focus: Bring HR, operations, and commercial leaders into the same conversation.
Q3 output: Shared ownership for behaviors that protect client experience.

	5.	Reinforce and course correct in real time

Q4 focus: Track whether behaviors are sticking and intervene early when pressure rises.
Q4 output: More consistent service, lower turnover, and stronger client relationships.

The sequence matters and it’s the same one we use with every organization.

Data determines learning.
Learning determines behavior.
Behavior determines culture.

And culture determines customer experience.

And Customer Experience = ROI. 

HR leaders who internalize this don’t just support the business. They shape it.

Culture isn’t a strategy. It’s THE strategy.
What’s your next move?

P.S. If this resonates, join LEADING CULTURE.

You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real world application.

https://lnkd.in/gMw68Pc8

If you can’t #connect #culture #to #revenue, expenses, and cost, you’re missing a foundational part of the HR role.

Culture shows up on the P&L whether you name it or not.

It shows up in turnover costs when good people leave.
It shows up in absenteeism and disability claims when workloads and trust break down.
It shows up in lost revenue when burned out teams deliver a weaker client experience.
It shows up in legal spend, safety incidents, and rework when accountability erodes.

This is why the strongest HR leaders don’t talk about culture as a feeling. They talk about it as a system that drives financial outcomes.

The work always follows the same sequence:

#Data determines learning.
#Learning determines behavior.
#Behavior determines culture.

And culture determines whether your organization grows profitably or leaks money quietly.

When HR uses data to show where leadership behavior is costing the business, learning becomes focused. Behavior changes become measurable. Expenses come down. Revenue stabilizes. Trust improves.

That’s when HR earns real influence at the table. Not by advocating harder, but by showing the math.

Culture isn’t a strategy. It’s THE strategy.
What’s your next move?

P.S. If this resonates, join LEADING CULTURE.

You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real-world application.

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HR leaders, do you want to finally look like the superstar you are in 2026? 

Your 2026 mantra must be:  

Our culture is our your employee experience.
Our culture is our your employee experience.
Our culture is our your employee experience.

If your people feel unseen, unsafe, or worn down, your clients feel it next.
And then your revenue pays the bill.

In 2025, we worked with 12 X 1,000+ employee employers who had the same story.

⬆️ Turnover was rising.
↘️ Service quality was slipping.
↔️ Leaders were spending their weeks managing problems instead of growing the business.

Using our CulturOS Platform, we ran a culture reset focused on daily leader habits, manager coaching, and team trust.

Not perks.
Not posters.
Practice.
Learning.
Execution.

Average Year one ROI came in at 612%, mostly from lower turnover, fewer sick days, and greater production. In real numbers, that equates to an average ROI of $12 million dollars for each company.

Those employers now have a system set in place that all do the same 3 things.

✅ They measure trust like a business asset.
✅ They train and retrain managers like it is job one.
✅ They act on early warning signs before people quit.

Because turnover is not random.
It is feedback.
And the cost is real.

Research often puts turnover costs as high as 200% of salary for some roles. (Harvard Business Review)

Culture is not a strategy. It is THE strategy. What’s your next move?

P.S. If this resonates, join LEADING CULTURE.
You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real world application.
https://lnkd.in/gMw68Pc8

A high-impact, professional LinkedIn graphic with a 4:5 aspect ratio. The background is a sophisticated charcoal grey. In the center, a large, bold headline in white and CulturWorks orange reads: "YOUR CULTURE IS YOUR CUSTOMER EXPERIENCE." Below the headline, a prominent callout box in brand orange displays "612% ROI" with the subtext "from a systemic culture reset." The CulturWorks logo is positioned professionally at the bottom, accompanied by the footer: "CULTURE IS THE STRATEGY." The design is clean and high-contrast, emphasizing the financial impact of leadership behavior.

If HR has to hold a supervisor’s hand to give feedback, you do not have a culture problem. You have a risk problem.

And it spreads fast.

Managers drive about 70% of the variance in team engagement, which means the first layer of leadership is where your culture is being built or broken every day.

Here is the mistake most organizations keep repeating. You promote great individual contributors into supervisor roles, then you give them little to no practical support for the hardest part of the job: the people part.

So the pattern is predictable. Feedback gets avoided. Conflict gets mishandled. Rules get enforced inconsistently.

Then the business symptoms show up. Turnover. HR escalations. Absenteeism. Safety and compliance risk.

Most organizations respond by adding training. A workshop. A module. A one time program.

It rarely sticks because it is content without adoption. And because the moment things get busy, it becomes optional. Everyone means to do it, but nobody has time, so it never becomes the way the place runs.

What you actually need is a permanent frontline leadership system that runs even when the business is on fire.

That system needs five things:

1️⃣ Scripts for the conversations supervisors avoid most: feedback, conflict, attendance, performance.
2️⃣ Simple daily and weekly routines that make leadership consistent instead of reactive.
3️⃣ Built in practice using real situations, not hypothetical scenarios.
4️⃣ Manager to manager reinforcement so supervisors are coached routinely, not rescued by HR.
5️⃣ Measurement of adoption first, then early indicators, then outcomes so you can prove impact, not just feel it.

Because adoption is the leading indicator. If supervisors are not using the tools, nothing else matters.

If you are promoting supervisors this quarter, do not ask “What training should we buy?” Ask this instead.

What is the system that makes good leadership inevitable when time is tight.

We have been installing these systems for over 15 years.

Culture isn’t a strategy. It’s THE strategy.
What’s your next move?

P.S. If this resonates, subscribe to LEADING CULTURE newsletter.  

You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real-world application.

https://lnkd.in/gMw68Pc8

We Help HR Build Strong Frontline Leaders With a Simple, Repeatable System | AI-Powered Diagnostics | Launch in Days (Not Months) | Typical 340%+ ROI | Trusted by 600+ Orgs

When your people are the ones walking into client sites every day, culture shows up directly in dollars and cents.

Not in abstract ways. In missed renewals. In client complaints. In safety incidents. In quiet reputational damage that never makes it into a dashboard until it’s too late.

The research is clear. In client facing environments, culture affects:
• How consistently standards are followed
• How safely work is done
• How clients experience trust and professionalism
• How often small issues turn into costly problems

Teams under pressure without trust cut corners.
Burned out staff disengage from client needs.
Poor leadership behaviors ripple outward and land squarely on the customer.

The roadmap is not complicated, but it requires discipline.

First, use data to see where strain, risk, and disengagement are actually showing up across client facing roles.
Second, translate that insight into focused learning so leaders know exactly what behaviors must change.
Third, reinforce those behaviors until they become the way work actually gets done in the field.

That sequence matters:

Data determines learning.
Learning determines behavior.
Behavior determines culture.

And culture determines outcomes your CFO already cares about. Fewer incidents. Stronger client relationships. Lower turnover. More predictable revenue.

When culture is treated as a system, client experience stabilizes. Costs come down. Performance becomes repeatable.

Culture isn’t a strategy. It’s THE strategy.
What’s your next move?

P.S. If this resonates, join LEADING CULTURE.

You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real world application.

https://lnkd.in/gMw68Pc8

HR needs to hear this, even if it’s uncomfortable.

Most culture problems are not caused by bad people.
They’re caused by promoted people who were never taught how to lead.

We keep hiring for skill.
We keep promoting for results.
Then we act surprised when teams burn out, trust erodes, and turnover spikes.

Here’s the hard truth.
If leadership behavior is left to chance, culture will fail by design.

Exit interviews won’t fix it.
Engagement surveys won’t fix it.
Values posters definitely won’t fix it.

What actually works is treating leadership like a system, not a personality trait.

The HR teams with real influence do three things differently:
They measure the behaviors that predict trust and retention.
They turn that data into focused learning, not generic training.
They hold leaders accountable for how people experience work, not just what gets delivered.

This is the operating logic we use everywhere:
Data determines learning.
Learning determines behavior.
Behavior determines culture.

If you don’t change behavior, nothing changes.
And if nothing changes in 2026, ask yourself what you’ll be losing next. People. Credibility. Performance.

Culture isn’t a strategy. It’s THE strategy.
What’s your next move?

P.S. If this resonates, join LEADING CULTURE.

You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real world application.

https://lnkd.in/gMw68Pc8

If you work in HR, you’ve lived this.

HR rolls out the policy.
HR writes the comms.
HR runs the training.
HR answers the questions.

Then something breaks.

And the headline becomes:

“HR didn’t tell us.”
“We didn’t know.”
“HR dropped the ball.”

HR isn’t failing.
The leadership operating system is failing.

Because in most organizations, communication still follows a broken model:

Announce it once.
Assume it landed.
Blame HR when it didn’t.

Here’s the practical tool that fixes the credibility gap.

➡️ THE COMMS PROOF LOOP
For any major change, do three things every time:

1.Announce
One clear message in plain language.
What is changing.
Why it matters.
What to do next.

2. Equip managers
One short talking point for leaders to use with their teams.
Not a memo.
A script.

3. Confirm understanding
A two question check, within 7 days:

What do you understand is changing for you
What question do you still have

If people “didn’t know,” the confirmation step was missing.
Not because HR did nothing.
Because the system never proved the message landed.

Do this consistently and two things happen fast:
Less confusion.
More trust. 🙂 

Culture isn’t a strategy. It’s THE strategy.
What’s your next move?

P.S. If this resonates, join LEADING CULTURE.
You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real-world application. https://lnkd.in/gMw68Pc8

Most workplaces don’t have a newcomer retention problem.

They have a system problem.

They hire newcomers.
They hope people “settle in.”
They wait for issues to surface.
Then they act after turnover, conflict, or performance dips.

A culture that supports newcomers is not a program.
It’s a reliable, science backed system.

Here’s what that system actually looks like.

➡️ Step 1: Measure the newcomer experience, not the vibe
You need data that is specific enough to act on.
The minimum viable dataset:

Role clarity
Manager support
Psychological safety
Belonging
Workload and pace
Learning and onboarding quality
Respect and fairness
Career path visibility

And you need it sliced by time in role:
0 to 30 days
31 to 90 days
3 to 12 months
Because risk is not evenly distributed.
The first 90 days are where most breakdowns happen.

➡️ Step 2: Combine numbers with lived experience
Surveys tell you where the heat is.
Open text tells you why.
Interviews tell you what is actually happening on the floor.

When all three point to the same friction, you have signal.
Not noise.

➡️ Step 3: Turn insights into a small number of behaviors
Most organizations drown in recommendations.

A system focuses on the few behaviors that move outcomes.

For newcomers, the behaviors are usually predictable:
Clear expectations in plain language
Weekly check ins that catch confusion early
Coaching instead of correction
A buddy system with real accountability
Safe ways to ask questions without fear
Leaders who explain the unwritten rules

➡️ Step 4: Operationalize through training, coaching, and reinforcement
This is where culture becomes real.
Train leaders on the exact behaviors the data shows are missing.
Coach the managers who are struggling.
Give supervisors simple scripts and routines.
Reinforce the habits for 6-12 months
No habits, no culture change.

➡️ Step 5: Build the feedback loop so it keeps working
This is the part most employers skip.
Run a monthly pulse for newcomers.
Track trend lines by team and supervisor.
Respond fast where the data flags risk.
Repeat.

Data determines learning ➡️ Learning determines behaviour ➡️ Behaviour determines culture.

If you want newcomer retention, stop relying on good intentions.
Build the system.

Culture isn’t a strategy. It’s THE strategy.
What’s your next move?

P.S. If this resonates, join LEADING CULTURE.
You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real-world application.
https://lnkd.in/gMw68Pc8

Superstar frontline employees are often poor supervisors. We have all seen or lived it. 

And we ignore it.

After working with 600+ employers, here’s our simple System that fixes it:

➡️ DATA
Find the supervisors driving turnover and underperformance.

Culture is experienced through the direct supervisor.

Use a simple Supervisor Scorecard.
Ask employees to rate these 1–10 for their direct supervisor:

Clarity: I know what a great week looks like
Coaching: I get feedback early enough to improve
Support: My supervisor removes barriers quickly
Fairness: Expectations are applied consistently
Safety: I can raise issues without fear
Respect: I’m treated with dignity
Growth: I’m learning, not just being corrected

Then segment the data:
By supervisor
By time in role (0–30, 31–90, 3–12 months)
By newcomer status where relevant

Look for patterns. If one supervisor is consistently lower on clarity, coaching, or safety, that’s your priority area.

➡️ LEARNING
Teach supervisors the few skills that drive everything else.

Train the moments that happen every day.

Here are the three skills to teach first:

	1.	Set expectations in plain language
What matters this week
What good looks like
What to do when stuck
	2.	Coach early, not late
Name the issue fast
Use one example
Ask one question
Agree on one next step
	3.	Create safety so people tell the truth early

Surface problems before they become incidents, errors, or resignations

Give them scripts, not theory.

✔️ CLARITY SCRIPT
“This week, the priority is X.
Great looks like Y.
If you’re blocked, tell me by Z.”

✔️ COACHING SCRIPT
“I noticed X.
Here’s one example.
What’s your view of what happened?
Let’s agree on one next step and check in Friday.”

✔️ SAFETY SCRIPT
“What’s one thing making your job harder right now?
What do you need from me?”

➡️ BEHAVIOR
Make learning real by turning it into routines.

If supervisors don’t practice weekly, it disappears.

Build three non negotiable routines for 90 days:

✔️ WEEKLY CLARITY
Every Monday: priorities and standards in writing.

✔️ WEEKLY COACHING
Every week: one short coaching moment per person.

✔️ WEEKLY SAFETY CHECK
Every week: one barrier raised and removed or escalated.

Track adoption.
Not attendance.

➡️ CULTURE
Culture is the predictable result of what supervisors do every week.

When supervisors lead with clarity, coaching, and safety:

People know what to do.
Mistakes drop.
Learning speeds up.
Trust increases.
Turnover drops.
And you build a bench of capable leaders instead of hoping someone figures it out.

Data determines learning.
Learning determines behavior.
Behavior determines culture.

Culture isn’t a strategy. It’s THE strategy. What’s your next move?

P.S. If this resonates, join LEADING CULTURE.

You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real-world application.

https://lnkd.in/gMw68Pc8

graphical user interface, text, application, chat or text message

From healthcare to factories to government, most new People leaders are sitting on a problem they could fix in 90 seconds.

They’re avoiding one conversation.

Not because they don’t care.
Because they don’t know what to say.

So the issue drags on.
The team notices.
Resentment grows.
Standards slip.
And eventually it turns into a “performance problem” or a resignation.

I watched this happen with a new supervisor last month.

One employee was consistently late.
Not dramatically.
Five to ten minutes.

The supervisor did what most untrained supervisors do.
He hinted.
He joked about it.
He said “try to be on time.”

Nothing changed.

Two weeks later, the rest of the team started copying it.
Because culture is learned through what gets tolerated.

That’s the real problem.

Most workplaces don’t have a policy gap.
They have a conversation gap.

Here’s the solution.
A simple script that makes the conversation clear, respectful, and fast.

Practical tool: The 90 Second Performance Conversation
	1.	State the issue in one sentence
“I’ve noticed you’ve been arriving after start time.”
	2.	Give one example
“Three times this week you arrived between 8:05 and 8:10.”
	3.	Name the impact
“It delays handoff and puts pressure on the rest of the team.”
	4.	Ask one question
“What’s your view of what happened?”
	5.	Agree on one next step and one check in date
“Starting tomorrow, you’ll be ready at 8:00. Let’s check in next Friday.”

That’s it.

No lecture.
No anger.
No ambiguity.

Most managers talk too much, too late, and too vaguely.
This forces clarity early.

Data determines learning.
Learning determines behavior.
Behavior determines culture.

Culture isn’t a strategy. It’s THE strategy.
What’s your next move?

P.S. If this resonates, join LEADING CULTURE.

You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real-world application.

https://lnkd.in/gMw68Pc8

"Nice" managers are the leading cause of cultural rot. 🚩

It sounds harsh, but it’s the truth.

When a new manager moves from "peer" to "leader," they often choose comfort over clarity. They’re so afraid of being the "bad guy" that they hide critical feedback inside a "Feedback Sandwich" of fake praise.

Here is what actually happens when you prioritize being liked over being clear:

Your A-Players quit. They are tired of carrying the load for underperformers who don't even know they're failing.

Resentment grows. The team knows who isn't pulling their weight. When you don't address it, you lose your authority.

Mediocrity becomes the standard. If you don't define the floor, the ceiling will continue to drop.

At CulturWorks, we teach the "60-Second Performance Script." It’s not mean—it’s the highest form of professional respect.

The 4-Step Framework: 
1️⃣ State the Issue: One sentence. No padding. 
2️⃣ Give the Example: One data point. No opinions.
3️⃣ Ask the Question: Stop talking. Listen. 
4️⃣ Set the Next Step: If it’s not on the calendar, it’s not a plan.

Clarity isn't mean. Ambiguity is. 
Stop hiding behind "nice" and start leading with purpose.

🚀 Build a culture that actually works. Join the conversation here by LEADING CULTURE: lnkd.in/gMw68Pc8

#CulturWorks #Leadership #Management #CompanyCulture #Feedback #NewManagers #Performance

82% of your managers have a secret they are too afraid to tell you: They have no idea how to lead people.

In 2026, technical brilliance is no longer enough to sustain an organization. As Artificial Intelligence achieves near-total proficiency in executing technical workflows, the only remaining competitive differentiator is the quality of human-centered leadership at the frontline.

Yet, most companies are still paying the "hidden tax" of the Accidental Manager—high performers promoted for technical excellence but left unsupported in people management.

The 2026 Reality Check:

• The Training Gap: 82% of managers receive zero formal training before stepping into their roles.
• The Economic Cost: In the UK alone, 2.4 million untrained managers cost roughly £84 billion in lost productivity and turnover.
• The Identity Crisis: These "doers" often struggle to measure their value when they are no longer the primary executors of technical tasks, leading to micromanagement and burnout.

How to move from "Doing" to "Leading":
1️⃣ Redefine Success: Stop "fixing" problems and start coaching the people who solve them.
2️⃣ Prioritize Human Judgment: AI provides the data, but only a human leader can navigate the ambiguity of a diverse, distributed workforce.
3️⃣ Design an Intentional Identity: Don’t stumble into leadership—build a structured practice of growth tied to real outcomes.
Success in the modern workplace isn't defined by what you do, but by the impact you enable.

🚀 We're on a mission to help HR leaders turn technical experts into culture-defining managers. If you’re building a people-first organization in 2026:

Follow me for daily data-backed strategies and frameworks on frontline leadership.

Most new supervisors don’t have a performance problem.

They have a conversation delay problem.

I saw it last month with a brand-new supervisor who inherited a strong team.

One person started missing small deadlines.
Nothing huge.
Just enough to create rework.

The supervisor did what most untrained supervisors do.
He hinted.
He waited.
He stayed vague because he didn’t want to “damage morale.”

Two weeks later, the rest of the team stopped taking deadlines seriously.
Not because they’re bad people.
Because the standard wasn’t being protected.

That’s the problem.

Culture isn’t what you say in onboarding.
It’s what gets corrected early, and what gets tolerated under pressure.

Here’s the research point most leaders miss:
When people don’t feel safe to speak up, they stay quiet, problems stay hidden, and learning slows down.  
And feedback only improves performance when it stays specific and task-focused. Generic feedback can backfire.  

So the fix isn’t “be tougher.”
It’s “be clearer, sooner, with a simple structure.”

Here’s the tool I want every new supervisor to use.

The 90-Second Performance Reset
Use it within 48 hours of the issue showing up.
	1.	State the issue in one sentence
“I noticed the report came in after the deadline.”
	2.	Give one example
“It was due at 2:00 and came in at 4:30.”
	3.	Name the impact
“That delayed the client update and created rework.”
	4.	Ask one question
“What’s your view of what happened?”
	5.	Agree on one next step and one check-in date
“Next time, send me a draft by noon. We’ll check in Friday.”

Then write one line for yourself right after the conversation:
Agreed next step: __. Check-in date: __.

This is not harsh.
It’s respectful.
Because it gives the person clarity and a fair chance to succeed.

If you lead new supervisors, here’s the standard to set:
Small issues get addressed early, specifically, and calmly.
Every time.

Data determines learning.
Learning determines behavior.
Behavior determines culture.

Culture isn’t a strategy. It’s THE strategy.
What’s your next move?

P.S. If this resonates, join LEADING CULTURE.

You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real-world application.

https://lnkd.in/gMw68Pc8

Stop treating HR like an emergency room for untrained supervisors.

Most organizations have a "sink or swim" promotion policy. They take a high-performing individual contributor, give them a 10% raise, and then act shocked when that person’s inability to manage conflict leads to a $100k lawsuit or a mass exodus of talent.

According to research published in the Journal of Business and Psychology, the "Peter Principle" remains a systemic reality: people are often promoted to their level of incompetence. Specifically, the leap from technical expert to people leader requires a total shift in cognitive and emotional labor that most companies simply ignore.

When you don’t train your supervisors, you aren't just failing them—you’re actively sabotaging your culture.

Untrained supervisors don't manage; they hope.
They hope the performance issue fixes itself.
They hope the toxic team dynamic stays under the radar.
They hope HR will handle the "uncomfortable stuff."
The result? HR becomes a reactive fire department instead of a strategic partner.

The fix isn't more policies. It's building supervisor readiness through practical frameworks, clear scripts, and consistent coaching moments.

We can help. 

Culture isn’t a strategy. It’s THE strategy.
What’s your next move?

P.S. If this resonates, join LEADING CULTURE.

You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real-world application.

https://lnkd.in/gMw68Pc8

Here’s a line most managers avoid until it’s too late:

“We need to talk about your performance.”

Not because they do not care.
Because they do not know how to do it well.

So they delay.
They soften the message.
They talk around it.
They hope it fixes itself.

It doesn’t.
Most performance problems persist because leaders talk too much, too late, and too vaguely.

And that creates the exact outcomes HR gets stuck cleaning up:
Risk
Turnover
Confusion
Resentment
Underperformance

Practical tool: The 60 Second Performance Script

1. State the issue in one sentence.
“Yesterday, the customer file was submitted late.”

2. Give one example.
“It was due at 2:00 and it came in at 4:30, which delayed shipping.”

3. Ask one question.
“What’s your view of what happened?”

4. Agree on one next step and one check in date.
“Let’s set a reminder at noon and confirm progress by 1:30. We’ll check in Friday.”

That’s it.

Say less.
Be specific.
Document the next step.

20 Years of research and experience come down to this skill which has changed the lives of thousands of HR leaders: 

The goal is not to win the conversation.
It’s to change the behaviour.

Culture isn’t a strategy. It’s THE strategy.
What’s your next move?

P.S. If this resonates, join LEADING CULTURE.
You’ll be the first to receive updates on the most compelling advancements and practical toolkits for making workplace cultures actually work better, grounded in data, social science, and real-world application.
https://lnkd.in/gMw68Pc8

The "High Performer" Trap

We take our best individual performers.
We give them a promotion.
We give them a title.

And then we abandon them.

This is the standard operating procedure in most companies.

We assume that because someone is an excellent engineer, a top-tier salesperson, or a brilliant accountant, they will intuitively know how to lead humans.

It is a lie.
And it is dangerous.
The skillset required to do the work is 100% different from the skillset required to lead the work.

Without an industry, specificleadership development system, you aren’t creating leaders.
You are creating anxiety.

I see new managers drowning every day.
They are micromanaging (because it feels safe).
They are avoiding conflict (because they want to be liked).
They are working 12-hour days (trying to do their old job AND their new one).

If your organization doesn't have a roadmap for them, give them this with my compliments. 

➡️The 3 Shifts Every New Manager Must Make:

1. The Output Shift (From "I do" to "We do")

As an individual contributor, your value was how much work you could crush.

As a leader, your value is how much capacity you can build in others.

Stop doing the work. Start clearing the path.

2. The Relationship Shift (From "Buddy" to "Boss")

This is the hardest one. You can be friendly, but you cannot be their peer anymore.

Peers vent to each other. Leaders absorb the vent and redirect it toward solutions.

Trade popularity for respect.

3. The Answer Shift (From "Fixer" to "Coach")

You got promoted because you had all the right answers.

To succeed now, you need to start asking the right questions.

If you solve every problem, your team learns nothing.

To the HR Leaders reading this:

Hope is not a strategy.

"Sink or swim" is not a curriculum.

If you want a culture of high performance, you have to build a system of support.

Data determines learning.
Learning determines behavior.
Behavior determines culture.

Culture isn’t a strategy. It’s THE strategy. What’s your next move?

P.S. If you are building a leadership pipeline (or stuck in one), subscribe to our 30,000 strong newsletter LEADING CULTURE. 

We build the systems so you don’t have to guess.

https://lnkd.in/gMw68Pc8

Stop trying to fix your company culture from the top down.
It’s the most expensive mistake in modern business. 📉

The global economy is currently paying an $8.8 trillion "Accidental Manager" Tax every single year—equivalent to roughly 9% of global GDP. 

Whether you are in Healthcare, Tech, Retail, or Manufacturing, the crisis is identical: We promote technical experts but leave them to lead human beings without a manual.

At CulturWorks, our research into the 2026 workforce landscape shows that:
➡️ 82% of managers enter their roles with zero formal leadership training.
➡️ Nearly 60% of first-time managers receive no support during the most critical transition of their career.
➡️ 70% of all team engagement variance is determined by just one person: the direct manager.

💡 The Frontline Multiplier: Your Highest Leverage Investment

If you want the quickest fix with the biggest bang for your HR investment dollar, stop looking at broad culture initiatives. Start building a Frontline Leadership Development System.

Frontline supervisors manage 80% of your workforce. They are the primary architects of your culture. When you fix the frontline, you don't just improve a manager—you stabilize the engine of the entire business.

The Logic of the Investment:

➡️ Velocity of Impact: Frontline training yields a 29% ROI within just 3 months, scaling to a staggering 415% annual return.
➡️ Direct Financial Gains: For every $1.00 invested in leadership, organizations recover $7.00 in bottom-line value.
➡️ Performance Gap: Organizations with strong leadership pipelines see 34% higher revenue per employee and a 77% decrease in turnover.
➡️ The Bottom Line: You likely don’t have a "performance problem"—you have a frontline leadership gap.

At CulturWorks, we've helped turn over 71,000 "Accidental Managers" into intentional leaders through data-led, reproducible systems. It’s time to move beyond "soft skills" and start treating leadership as the precision-engineered business driver it is.

Stop leaving your culture to chance. Build a Leadership Factory. 

🚀 We're on a mission to help HR leaders turn technical experts into culture-defining managers. If you’re building a people-first organization in 2026, follow me for daily data-backed strategies and frameworks on frontline leadership.

#FrontlineLeadership #PeopleAndCulture #ROI #ManagementConsulting #AccidentalManager #CulturWorks #HRStrategy #LeadershipDevelopment

Dr Emmanuel Ogungbemi

Head of Data Engineering | I help you improve your productivity with data and AI

From being a data analyst to leading the development of data pipelines, my journey in data engineering and analytics has been both challenging and rewarding.

When I began my career in data, I faced the daunting task of turning vast amounts of raw data into actionable insights.

The problem? Many organisations struggle with fragmented data and inefficient processes.

Here's how I tackled these challenges and built a successful career in data:

1. Crafted Data Solutions: Designed and implemented a Common Data Platform, ensuring seamless data integration and access.
2. Led Innovative Projects: At NATS, I contributed to the world's first AI system for air traffic control, utilising digital twinning and machine learning.
3. Developed Future Talent: Shaped data science and engineering education at Multiverse by developing comprehensive curricula for degree-level apprenticeships.
4. Consulted on High-Impact Projects: Provided AI and data science consultancy for industry giants like BP, Sword and Chaucer (now BIP UK), driving data-driven decision-making and innovation.

Now, I'd like to talk about you.

Are you aspiring to become a successful data analyst/data scientist/data engineer but need help figuring out where to start?

Here's a roadmap to guide you:

1. Master the Fundamentals:
- Learn key programming languages like Python and SQL.
- Understand data structures, algorithms, and database management.

2. Gain Practical Experience:
- Work on real-world projects to apply your skills.
- Use tools like Power BI and Tableau for data visualisation.

3. Join the Community:
- Participate in data science forums and attend industry events.
- Network with professionals to exchange knowledge and opportunities.

4. Continuous Learning:
- Stay updated with the latest trends and technologies in data analytics.
- Take advanced courses to deepen your expertise.

To help you get started, I've created a comprehensive Data Analyst Roadmap that outlines the essential steps and resources you need to succeed.

Join my email list to register your interest in my free Data Analyst Roadmap.

You have the potential to excel in the data industry, and I'm here to support your journey.

Let's connect and share our experiences in data engineering and analytics!

Head of Data Engineering

I am excited to share a valuable resource: SQL Practice 1!

This comprehensive guide provides 24 practical SQL queries to help you enhance your database management and query-writing skills. 

Perfect for students, professionals, and anyone looking to deepen their SQL knowledge, this document covers a wide range of scenarios using single table queries, aggregation, and group by statements.

Key topics include:
- Displaying specific columns and rows
- Using DISTINCT to remove duplicates
- Filtering data with WHERE and LIKE clauses
- Aggregating data with SUM, COUNT, MAX, and MIN functions
- Grouping data with GROUP BY and HAVING clauses
- Joining tables and using subqueries


Enhance your SQL skills and become proficient in writing efficient and effective queries with this practical guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

I help you break into data science and AI with practical tips, real-world insights, and the latest trends.

SQL Practise

I am excited to share an essential resource: Structured Query Language (SQL) by Fang Ying, Sham!

This comprehensive guide covers fundamental SQL concepts and commands, making it perfect for students, professionals, and anyone looking to deepen their understanding of SQL and database management.

Key topics include:
- Creating and using databases and tables
- Inserting, updating, and deleting records
- Basic SQL queries: SELECT, WHERE, ORDER BY, DISTINCT
- Advanced SQL operations include JOINs, UNIONS, INTERSECT, and EXCEPT.
- Working with views, temporary tables, and common table expressions (CTEs)
- String functions, subqueries, and stored procedures
- SQL ranking functions: ROW_NUMBER, RANK, DENSE_RANK, NTILE
- Handling NULL values and using CASE statements
- Aggregation functions: COUNT, SUM, AVG, MAX, MIN
- Data type conversions and partitioning

Enhance your SQL skills and streamline your database management tasks with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

SQL Commands II

I am excited to share an invaluable resource: Introduction to Programming with Python!

This comprehensive guide covers the fundamental concepts of programming using Python. 

Perfect for students, beginners, and anyone looking to enhance their programming skills, this document provides clear explanations and practical examples.

Key topics include:
- Programming basics: source code, syntax, and output
- Compiling and interpreting Python code
- Working with expressions, arithmetic operators, and precedence
- Handling integer and real number operations
- Using variables and assignment statements
- Printing output and reading user input
- Control flow: loops (for, while) and conditionals (if/else)
- Data types: strings, lists, tuples, sets, and dictionaries
- Functions and higher-order functions
- Object-oriented programming: classes, objects, methods, and inheritance
- File processing and text manipulation


Enhance your Python programming knowledge and build a solid foundation with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

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The award of this certificate is in recognition of my participation in the SEEP 2019 conference held between 18 - 21 November 2019 at the University of Sharjah, United Arab Emirates where I delivered two (2) papers.

Certificate of Participation

The certificate is a result of my participation in the 5th International Conference on Material Science & Smart Materials where I presented a poster titled "Characterisation of Solar Materials and Electronic Devices using Cadmium Telluride (CdTe) and Zinc Sulphite (ZnS) as a Case Studies"

Certificate

The certificate is a result of my participation in the SEEP 2018 conference where I presented a paper titled "Effect of Membrane Thickness on the Performance of PEM Fuel Cell"

Certificate of National Service

I received this letter due to my invaluable contribution to the successful delivery of the first historic comprehensive training programme for the Volunteer Cadets in Nigeria, the OYES Volunteer Cadets' Training Course.  

Letter of Appreciation

The certificate is a recognition of my service to the club as the Vice-President (Business) in 2010.

Certificate of Fellowship

The award is a recognition of my service to the student society as General Secretary - 2007/2008, Vice-President - 2008/2009, President - 2009/2010 and National Vice-President (West) - 2010/2011.

Certificate of Service

This certificate is due to my participation in the 40th annual general meeting and conference of the society.

Certificate of Attendance

I received this certificate as a result of my participation in the international essay competition organised by the World Bank. The title is "How does youth unemployment affect you? How can you tackle youth unemployment through youth-led solutions"

Certificate of Merit

Marketing: Copywriting for Social Media

Developing CI/CD Solutions with Azure DevOps

Python Projects

Microsoft Certified: Azure Data Engineer Associate

Microsoft Certified: Azure AI Fundamentals

Microsoft Certified: Azure Data Fundamentals

Microsoft Certified: Azure Fundamentals

Data Engineering Foundations

[PCAP-31-03] PCAP – Certified Associate in Python Programming

Agile at Work: Building Your Agile Team

Scrum: The Basics

Stay Lean with Kanban

Machine Learning Essentials for Seismic Interpretation

Starting a Memorable Conversation

Artificial Intelligence Foundations: Neural Networks

Diversity, Inclusion, and Belonging

Machine Learning and AI Foundations: Classification Modeling

Body Language for Leaders

Industrial/Oilfield Health, Safety & Environmental Management Appreciation

Introduction to Auditing and Evaluating Behaviour Change (IEMA approved training)

International Association of Engineers

Institution of Chemical Engineers (IChemE)

The Institution of Engineering and Technology

Emmanuel is dedicated to helping you break into data science and AI with practical tips, real-world insights, and the latest trends.

Emmanuel Ogungbemi | Substack

We are delighted to be back for the second edition of ML Club Live!

This event is all about getting hands-on with GenAI, with some coding examples and also some discussions of interesting papers.

As always, this is community-driven, so if you want to come and speak about anything related to ML or AI, even for 10 minutes, please reach out to Emmanuel (bunmieogungbemi@gmail.com) or Andy (andrewpmcmahon629@gmail.com).

ML Club - July 2024 - Hands on with GenAI, Tue, Jul 2, 2024, 5:30 PM | Meetup

I coordinate Real Projects Talk for AFBE-UK Scotland

Organising Data Science and Engineering events
- To help newbies get into data science
- Organise boot camps to support learning and development
- Support working professionals by providing mentorship and advice
- https://www.meetup.com/ml-club/

Introduction to Programming with Python

I am excited to share an essential resource: An Introduction to SQL by Alkistis Pourtsidou from Queen Mary, University of London!

This comprehensive guide covers the fundamental concepts of SQL, making it perfect for students, professionals, and anyone looking to deepen their understanding of databases and SQL. 

From basic queries to advanced operations, this document provides a thorough introduction to SQL.

Key topics include:
- What is SQL and why we need databases?
- Ways to use SQL: console commands, GUI interfaces, and programming language interfaces
- Basic SQL commands: SHOW DATABASES, SHOW TABLES, SHOW COLUMNS, DESCRIBE
- Variable types supported by SQL: Numeric, Character, Binary, and Temporal
- Hands-on examples using SQLite3 in Python
- Exploring tables and combining information using JOIN
- Exercises and tasks to practice SQL skills
- Introduction to PostgreSQL: installation, creating databases, and running queries
- Handling NULL values, creating views, string concatenation, and subqueries


Enhance your SQL skills and database management knowledge with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

An Introduction to SQL

I'm excited to share an essential resource: the Python Basics Cheatsheet by Waleed Mousa!

This comprehensive cheatsheet covers fundamental Python concepts and commands, making it perfect for beginners and experienced programmers alike. 

It's a handy reference guide to enhance your coding skills and boost your productivity in Python.

Key topics include:
- Basic Syntax and Operations
- Data Structures: Lists, Dictionaries, Tuples, and Sets
- Control Flow: If statements, loops, and comprehensions
- Functions and Modules: Defining, importing, and using functions
- Error Handling: Try-except blocks and raising exceptions
- File Handling: Reading, writing, and managing files
- Object-Oriented Programming: Classes, objects, inheritance, and more
- Advanced Topics: Lambda functions, generators, decorators, and context managers
- Popular Libraries: NumPy, Pandas, Matplotlib, and more
- Date and Time Operations
- File Paths and Directories
- Networking and HTTP Requests
- Debugging and Profiling
- Testing and Writing Unit Tests
- Virtual Environments and Packaging
- Regular Expressions
- Data Serialization: JSON and Pickle
- Multithreading and Multiprocessing
- Asynchronous Programming


Enhance your Python programming knowledge and keep this cheatsheet as a quick reference to streamline your coding tasks!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

Python Basics

Cloud Computing Tutorial

7 Clear Signs You’re Being Undervalued at Work:

(And what to do about it)

1.	You’re Excluded from Decisions
↳ Major decisions are made without your input.
↳ This makes you feel sidelined and unimportant.
↳ Being part of key discussions should be the norm, not the exception.

2.	They Give You Busywork, Not Impactful Projects
↳ You’re handed small, non-impactful tasks while others take on critical projects.
↳ Your potential is being wasted on work that doesn’t move the needle.
↳ Push for projects that align with your strengths and goals.

3.	You’re Not Set Up to Succeed
↳ You lack the resources, support, or clarity needed to perform well.
↳ This leads to frustration and sets you up for failure.
↳ Success requires the right tools and direction—don’t settle for less.

4.	Your Role Expands Without Rewards
↳ You’re constantly taking on more responsibilities, but your title and pay stay the same.
↳ If you’re doing more, you deserve to be compensated accordingly.
↳ Speak up about aligning your role with fair recognition.

5.	No Recognition for Your Hard Work
↳ Your contributions go unnoticed, and there’s no appreciation for what you do.
↳ Recognition is key for morale and motivation, and everyone deserves it.
↳ It’s time to request regular feedback and acknowledgment.

6.	Your Growth Stalls
↳ You’re not being given opportunities to develop new skills.
↳ If you feel stuck, it’s a sign your potential isn’t being nurtured.
↳ Start exploring options that align with your growth ambitions.

7.	Inadequate Compensation
↳ Your salary doesn’t reflect your contributions to the company.
↳ If others in similar roles are being paid more, it’s time to negotiate.
↳ Know your worth and advocate for fair compensation.

________________________________________

Feeling undervalued can be draining, 
but recognizing the signs is the first step to change.

Do any of these resonate with you? 
Let me know in the comments! 👇

Thanks, Dora Venourek for sharing.

♻️ Repost to help others recognize their worth.
🔔 Follow Emmanuel Ogungbemi for more workplace and career insights.

7 Signs You Are UnderValued At Work

When I first entered the world of data, I discovered the power of SQL and databases to transform raw data into meaningful insights.

The challenge? 

Many professionals struggle to grasp the foundational concepts and practical applications of SQL.

Here's how I mastered SQL and databases and advanced my career:

1. Learning the Basics
I started with the core concepts of relational databases and understanding tables, relationships, and critical constraints.

2. Hands-On Practice
Wrote optimised SQL queries to extract, manipulate, and analyse data across various projects.

3. Complex Problem Solving: 
Designed and implemented efficient database schemas and complex queries to support large-scale data platforms.

4. Continuous Improvement
Stayed updated with the latest database technologies and best practices through courses, certifications, and community involvement.

Now, let's talk about you.

Are you looking to enhance your skills in SQL and databases but don't know where to start?

Here's a structured approach to help you:

1. Understand the Fundamentals
- Learn about relational database concepts and structures.

2. Get familiar with SQL syntax and basic queries (SELECT, INSERT, UPDATE, DELETE).

3. Practical Application
- Practice writing SQL queries to solve real-world problems.
- Use database management systems like MySQL, PostgreSQL, and Microsoft SQL Server.

4. Advanced Techniques:
- Explore advanced SQL topics such as joins, subqueries, indexing, and transaction management.
- Learn how to denormalise database schemas for efficient data storage and retrieval.

5. Continuous Learning and Networking
- Join SQL and database forums to ask questions and share knowledge.
- Attend webinars and workshops to stay updated with industry trends.

I've created a comprehensive Data Analyst Roadmap to support your learning journey with essential steps and resources for mastering SQL and databases.

To get a link to download your free Data Analyst Roadmap, do this:
1. Repost 
2. Comment "share".

You have the potential to excel in SQL and database management, and I'm here to help you achieve your goals.

Let's connect and share our experiences in data engineering and analytics!

Excited to share an essential resource: Data Engineering Cert Prep - Notes!

This comprehensive guide is perfect for anyone preparing for a data engineering certification. It covers a wide range of topics, from Databricks basics to advanced ETL processes with Spark SQL, making it an invaluable resource for data engineers.


Key topics include:
- Databricks Basics: Creating clusters, using notebooks, and running different languages.
- Delta Lake: Managing Delta tables, merge operations, and advanced options like Optimize and Z ORDER.
- Relational Entities: Databases, tables, views, and common table expressions (CTEs).
- ETL with Spark SQL: Querying files, creating Delta tables, and writing to tables.
- Advanced SQL Transformation: Working with JSON data, arrays, joins, pivot tables, and higher-order functions.
- Python for Spark SQL: Using Python for data manipulation and control flow within Spark SQL.
- Incremental Data Processing: Utilizing Autoloader for incremental data processing.
- Medallion Architecture: Understanding the Bronze, Silver, and Gold architecture for data processing.
- Delta Live Table: Using declarative language for ETL processes, quality control, and referencing streaming tables.
- Task Orchestration: Running jobs and managing dependencies with DAG.
- DB SQL & Dashboard: Executing SQL queries, creating dashboards, and setting up alerts.
- Managing Permissions: Using Data Explorer to set and modify permissions.


Enhance your preparation for data engineering certifications and streamline your data engineering processes with this detailed guide!

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- Save to revisit down the road
- Add your comment!

Data Engineering Certificates Preparation

I am excited to share an invaluable resource: CI/CD Pipeline-as-Code with Jenkins and Docker by Kishore Bhatia!

This comprehensive guide explores how to effectively use Jenkins and Docker together to create seamless CI/CD pipelines. 

Perfect for DevOps engineers and developers, this document covers essential techniques and best practices for building, testing, and deploying applications.

Key topics include:
- Running Jenkins Masters and Slaves in Docker
- Building, testing, and deploying Docker images from Jenkins
- Custom build environments for reproducibility and isolation
- Managing Docker host configurations with CloudBees Docker Shared Config
- Traceability of Docker images and containers in Jenkins
- Integrating Docker Hub notifications to trigger Jenkins jobs
- Implementing Jenkins Pipeline-as-Code for streamlined workflows


Enhance your CI/CD processes and streamline your DevOps practices with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

CICD Pipeline-as-code with Jenkins and Docker

I am excited to share an insightful resource: Apache Spark (CS240A) by T. Yang!

This comprehensive guide explores the powerful capabilities of Apache Spark for distributed computing. 

Ideal for data scientists, engineers, and anyone working with big data, this document provides a deep dive into Spark's architecture, APIs, and applications.

Key topics include:
- Introduction to Hadoop and MapReduce
- Overview of Spark and its advantages over MapReduce
- Python examples and list comprehension
- Key concepts of RDDs (Resilient Distributed Datasets)
- Language support for Python, Scala, and Java
- Creating RDDs and Spark transformations
- Basic actions and working with key-value pairs
- Detailed explanation of the DAG scheduler
- Setting the level of parallelism
- Interactive shell and standalone application usage
- Example application: PageRank algorithm using MapReduce


Enhance your understanding of distributed computing and harness the full power of Apache Spark with this detailed guide!

- Repost to share with others
- Save to revisit down the road
- Add your comment!

Apache Spark

Documentaries offer more than just entertainment
- they expand your thinking, connect dots, and help you approach life like the top 1%.

They dive into real-world experiences, 
providing actionable lessons that can reshape how you approach work, money, and life.

Here are 7 binge-worthy documentaries that will change the way you think:

1️. The Mind Explained
↳ Discover how your brain processes emotions and memories.
↳ Learn the science behind decision-making and behaviour.
↳ Unlock techniques to boost your mental potential.

2️. The Social Dilemma
↳ Understand how social media manipulates your behaviour.
↳ Learn the psychology behind your screen habits.
↳ Explore ways to regain control of your online life.

3️. Working: What We Do All Day
↳ Gain insights into different professions and career paths.
↳ Explore how people find meaning and purpose in their work.
↳ Learn how to apply purpose-driven work principles in your career.

4️. The Playbook: A Coach’s Rules for Life
↳ Learn life-changing leadership lessons from top coaches.
↳ Discover how resilience plays a key role in success.
↳ Get actionable strategies for overcoming adversity.

5️. Get Smart With Money
↳ Master the basics of financial literacy and wealth-building.
↳ Discover strategies for budgeting and saving.
↳ Learn how to make your money work for you.

6️. The Minimalists
↳ Understand the philosophy behind minimalism and intentional living.
↳ Learn how to declutter your life and focus on what matters.
↳ Explore how simplifying your life can lead to greater happiness.

7️. Inside Bill’s Brain
↳ Dive into the habits of one of the world’s most brilliant thinkers.
↳ Learn how Bill Gates tackles complex global challenges.
↳ Explore his approach to solving problems and innovating.

What’s your go-to documentary for personal growth?
Let me know in the comments! ⬇️

Thanks to César Solís for this inspiring list!
—
I'm Emmanuel Ogungbemi, a Data Engineering SME passionate about leveraging data for impactful change.

♻️ Repost if you found this helpful!
🔔 Follow me for more insights on personal and career growth.

7 Netflix Documentaries You Need To Watch

The 8 Software Development Life Cycle Models You Should Know

Choosing the right software development model can significantly impact the success of your project. 

Here are 8 SDLC models and when you should consider using them:

1.	Waterfall
↳ Sequential phases: design, build, test, deploy.
↳ Best for projects with clear, unchanging requirements.
↳ Simple but rigid—ideal for small projects.

2.	Spiral
↳ Iterative and risk-driven approach with continuous refinement.
↳ Useful for complex projects that involve high risk and frequent changes.
↳ Allows for continuous evaluation and improvement.

3.	Agile
↳ Focuses on delivering incremental updates through short sprints.
↳ Ideal for projects requiring flexibility and collaboration.
↳ Prioritizes customer feedback and adaptive planning.

4.	Iterative
↳ Builds software in iterations, improving with each cycle.
↳ Great for large projects that need continuous refinements.
↳ Each iteration includes design, testing, and implementation.

5.	V-Model
↳ Developers and testers work in parallel—strict validation and verification process.
↳ Best for projects where validation at each step is essential.
↳ Ensures thorough testing before progressing to the next phase.

6.	Incremental
↳ Delivers the software in smaller, manageable increments.
↳ Ideal for large projects where full deployment isn’t feasible from the start.
↳ Each increment brings a working version closer to the final product.

7.	Big Bang
↳ Everything is developed at once—no formal planning.
↳ High risk but suitable for small projects or experimental prototypes.
↳ Requires significant time and resources upfront.

8.	Rapid Application Development (RAD)
↳ Focuses on quick development and frequent iterations through prototypes.
↳ Best for projects with tight deadlines or evolving requirements.
↳ Encourages user feedback and fast adaptation to changes.

________________________________________

Which SDLC model fits your project needs? Let me know in the comments! ⬇️

♻️ Repost to help your network understand SDLC models.
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Transform Your Life Today! 

Discover These 11 Unbelievable Tricks to Boost Your Productivity and Success! 🌟

Feeling stuck in your routine? 

It's time to shake things up! 

Here are 11 simple yet powerful changes you can make right now to drastically improve your personal and professional life:

1/ Set Clear, Achievable Goals - Break your dreams down into actionable steps.

2/ Rise Early - Win the morning, win the day!

3/ Exercise Daily - Boost your energy levels and clear your mind.

4/ Read Every Day - Expand your knowledge and escape the mundane.

5/ Prioritize Your Tasks - Focus on what really moves the needle.

6/ Practice Gratitude - Keep a journal and reflect on what you appreciate every day.

7/ Learn to Say No - Protect your time and commit to what truly matters.

8/ Take Regular Breaks - Prevent burnout and keep your mind fresh.

9/ Network Proactively - Surround yourself with people who inspire you to grow.

10/ Embrace Lifelong Learning - Stay curious and always be willing to learn something new.

11/ Visualize Success - Spend time each day imagining your life as you want it to be.

Don't just dream about a better life—make it happen! 

Start incorporating these habits into your daily routine and watch how they open doors to new opportunities and paths to success. 

What’s your first step going to be? 

Let me know in the comments below!

11visuals

36 Ways to Improve Yourself

Improving oneself is a continuous journey, and there are many avenues to explore that can lead to personal growth. 

Here are 36 ways to work on self-improvement:

1. Read daily: commit to reading books that challenge your perspective.

2. Set clear goals: define what you want to achieve in different areas of your life.

3. Exercise regularly: keep your body healthy with routine physical activity.

4. Meditate: spend time in quiet reflection to improve mindfulness and reduce stress.

5. Wake Up Early: start your day with purpose and quiet time to plan.

6. Learn a New Skill: whether it’s a language or a craft, learning keeps your brain sharp.

7. Keep a journal: write down your thoughts and reflections to understand yourself better.

8. Drink more water: hydration is key to maintaining energy and health.

9. Eat healthier: focus on a balanced diet that fuels your body and mind.

10. Stretch daily: maintain flexibility and prevent injuries.

11. Practice gratitude: remind yourself daily of what you’re thankful for.

12. Declutter: reduce stress by keeping your living and working spaces organized.

13. Travel: experience new cultures and ideas.

14. Volunteer: give back to the community to gain perspective and feel more connected.

15. Limit social media: be mindful of the time you spend online.

16. Set a budget: manage your finances to reduce stress and achieve your financial goals.

17. Practice public speaking: improve your communication skills and confidence.

18. Listen actively: Enhance your relationships by really listening to others.

19. Start a side project: channel your passions into a project.

20. Rest Effectively: Ensure you get enough sleep and take breaks to recharge.

21. Say no: honour your boundaries and spend time on what truly matters to you.

22. Ask for feedback: Understand how others perceive you and where you can improve.

23. Take courses: online courses can help you progress professionally and personally.

24. Stay Inspired: Watch TED talks, listen to podcasts, and seek inspiring content.

25. Network: Connect with people who can influence and motivate you.

26. Forgive: Let go of grudges to free yourself from negative emotions.

27. Be patient. Understand that personal growth takes time.

28. Seek Challenges: Step out of your comfort zone to grow.

29. Practice Positive Self-Talk: Encourage yourself and avoid negative thoughts.

30. Stay Organized: Keep track of your tasks and responsibilities.

31. Reduce Stress: Identify stressors and find ways to mitigate them.

32. Follow Your Curiosity: Allow yourself to explore new topics.

33. Improve Your Body Language: Communicate confidence and openness.

34. Build resilience: learn from setbacks and keep moving forward.

35. Maintain friendships


36. Celebrate small wins

These steps can help guide you on a path to a more fulfilling and balanced life. 

Each step taken is a step toward becoming the best version of yourself.

Data Science is NOT All About Coding. 
 
 
When I first entered the data science arena armed with solid coding skills, I thought I was fully equipped.  
 
But as I navigated real-world data challenges, I quickly realized that my coding prowess was just one piece of the puzzle.  
 
The journey into data science demanded much more! 
 
Data science is indeed a mosaic of skills, not a monolith built solely on coding. It thrives on a blend of technical skills and strategic thinking. 
 
DOs: 
 
- Embrace Statistics 
 
Master statistical methods to extract meaningful insights from raw data. 
 
- Cultivate Domain Expertise 
 
Deepen your understanding of the industry you're serving to make your analyses more impactful. 
  
- Enhance Problem-Solving Skills 
 
Engage in projects that push your analytical boundaries and require novel solutions. 
 
DON'Ts: 
 
- Don't Focus Solely on Coding 
 
While important, don't neglect the power of analytical reasoning and contextual knowledge. 
 
- Don't Ignore Soft Skills 
 
Communication and teamwork are crucial in translating data insights into actionable business decisions. 
 
- Don't Stop Learning 
 
The field is evolving rapidly; staying updated is key to staying relevant. 
 
Did you ever encounter a moment in your data science journey where coding alone wasn't enough?  
 
What other skills have you found essential? 
 
If this resonates with you, like, comment, and share your thoughts!  
 
How do you balance data science's technical and strategic demands in your career? 
 
Stay tuned for more myths busted and tips shared.  
 
Follow me, and let's connect to explore the multifaceted world of data science together!

Some Power BI interview questions for an analyst interview :

1. What is Power BI, and how do you use it?

2. How do you connect to data sources in Power BI?

3. What is a measure in Power BI, and how do you create one?

4. What are the differences between calculated columns and measures in Power BI?

5. Can you explain the concept of drill-through in Power BI and give an example?

6. How do you create a dashboard in Power BI, and what are the best practices?

7. How do you use Power Query in Power BI to clean and transform data?

8. What is DAX, and how do you use it in Power BI?

9. Can you explain the difference between a table and a matrix visual in Power BI?

10. How do you use Power BI to create a report that updates automatically based on new dataset? 

11. How do you share your reports and dashboards with others in Power BI?

12. How do you handle large datasets in Power BI?

13. Can you give an example of a complex data model you have built in Power BI?

14. How do you handle data refreshes in Power BI, and what options are available?

15. How do you handle security and permissions in Power BI?

16. What are some limitations of Power BI, and how would you work around them?

17. Can you explain the difference between calculated columns and measures in Power BI?

18. How do you create a drill-through report in Power BI?

19. How do you create a custom visualization in Power BI?

20. How do you optimize the performance of a Power BI report?

21. Can you explain the difference between DirectQuery and Import modes in Power BI?

Common ETL Pipeline Mistakes Every Data Engineer Should Avoid! 

As a seasoned vet in data engineering, I've noticed that even the pros sometimes stumble over the same hurdles when crafting ETL pipelines.

Here's how to avoid those pitfalls and elevate your data workflows:

1. Data Quality Checks: DON'T SKIP!
Missing these can seriously affect your results. To maintain its accuracy, validate your data relentlessly.

2. Scalability is Key
Failing to plan for growth will eventually clog up your pipeline. Always design with expansion in mind to keep things running smoothly.

3. Monitoring & Alerting:
Implement monitoring tools and set alerts to catch and squash bugs as soon as possible.

4. Keep Transformations Simple
Complications aren't always better. Aim for sleek, simple transformations to avoid unnecessary headaches.

5. Documentation is your Best Friend
Don't leave your team guessing. Clear, comprehensive documentation saves time and sanity.

By dodging these common errors, you're on your way to creating top-notch, robust ETL pipelines that stand the test of time.

Remember, perfection is a journey. Keep refining your craft and embracing the ever-changing data landscape.

Your thoughts? What other blunders should we watch out for in ETL development?

Let's share our wisdom and grow together!

Feeling swamped by machine learning's complexity? 

You're in good company.

Here's your step-by-step guide to conquering machine learning basics:

1. Grasp the Essentials
   - Master key programming languages: Python and R are your new best friends.
   - Wrap your head around vital concepts: think statistics, linear algebra, and calculus.

2. Conquer Core Algorithms
   - Dive deep into the world of linear regression, decision trees, and clustering.
   - Learn not just the 'what', but the 'how' and 'when' to deploy each algorithm.

3. Practical Application
   - Take on real-world projects to bring theories to life.
   - Develop and evaluate models with the help of TensorFlow, Scikit-learn, and PyTorch.

4. Keep Your Knowledge Fresh
   - Stay ahead with the latest industry trends and breakthroughs.
   - Engage in forums, workshops, and research papers to keep your edge sharp.

5. Foster a Supportive Community
   - Connect with fellow enthusiasts and experts.
   - Exchange insights, ask for feedback, and collaborate on exciting projects.

Machine learning is more than just crunching numbers�it�s about leveraging your know-how to tackle real challenges.

Kickstart your journey with these foundational steps and make your mark on the machine learning universe.

What�s been a game-changer in your machine-learning adventure?

Drop your thoughts below! 

Did you find this helpful, or do you know someone who might? Don't hesitate to like, comment, and share.

Let�s dive into the machine-learning cosmos together!

Top 5 ETL Pipeline Mistakes to Avoid � A Guide for Data Engineers! 

As someone who's navigated the tricky terrain of data engineering for years, I've seen it all. The pitfalls that catch even the most experienced among us can snag your ETL pipelines and throw a wrench in the works.

Here�s how to steer clear and amp up your data game:

1. Data Quality Checks � Non-Negotiable!
- Skipping these is playing with fire. 
- Keep your data pristine by validating early and often.

2. Think Big, Scale Smart 
- Ignoring future growth is a recipe for disaster. 
- Design with scalability in mind and keep your pipelines fluid and flexible.

3. Vigilance is Key: Monitoring & Alerting
- Set up your sentinels. 
- Monitoring tools and alerts are your first line of defence against data gremlins.

4. Simplicity in Transformation
- Complexity isn't a virtue. 
- Aim for elegance and simplicity in your transformations to dodge those needless headaches.

5. Documentation = Sanity Saver
- Leave no one in the dark. 
- Crystal clear documentation ensures your team can follow your lead without missing a beat.

Steering clear of these common mistakes propels you towards engineering ETL pipelines that not only last but excel.

Remember: Perfection is about the journey, not the destination. Continually hone your skills and adapt to the evolving world of data.

What pitfalls do you think we should all be wary of in ETL development? Let�s pool our knowledge and level up together! 

Your experiences? Let's exchange insights and conquer the data world as one!

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