Microsoft & Oracle Certified Analytics Professional. I help businesses gain clarity through data mastery& compelling visual storytelling.Opps in DA/DS.Arsenal❤️
Have you ever ordered from Jumia or taken a Bolt ride, then received a message asking:
“How was your experience?”
Most people think it’s just a courtesy.
It’s not.
That simple rating helps companies answer important questions like:
• Which drivers or sellers consistently provide great service?
• Which customers had a poor experience and might not return?
• What problems keep happening?
• Which products or services need improvement?
• How are employees or partners performing?
• How can we personalize future recommendations?
Every ⭐ rating, comment, and survey response becomes data.
On its own, one response doesn’t mean much.
But when thousands or millions of customers share feedback, patterns begin to emerge.
That’s how companies make smarter business decisions.
So the next time you rate a Bolt ride or leave a review after a Jumia order, remember:
You’re not just giving feedback.
You’re helping shape the next business decision.
@Feeztm More than average is far fetched. Every stat has shown him crumble against the big boys. Infact he gets subbed out whenever a big charge is on. Was abysmal today. And pls no one should talk to me about ohh he controls the game🤦♂️. Halland saved the team from those missed chances
DAY 23 OF 60 – SALES REPORTING IS NOT THE SAME AS SALES ANALYTICS
This is one of the biggest misconceptions I see in many organisations.
A dashboard is not analytics.
A monthly sales report is not analytics.
They are important, but they are only the starting point.
Sales reporting tells you what happened.
Revenue increased by 12%.
Region South missed its target.
Customer orders declined this month.
Those are useful facts, but they don't explain the business.
Sales analytics goes further.
It asks:
• Why did sales increase or decline?
• What factors influenced the results?
• What is likely to happen next?
• Most importantly, what action should the business take?
Here's a simple example.
A report tells you a territory missed its target by 8%.
An analyst investigates further and discovers that three of the territory's highest-value customers experienced stockouts for several days during the month.
Suddenly, the conversation changes.
The issue isn't poor sales execution.
The issue is product availability.
Without that deeper analysis, the sales team could be held accountable for a problem they didn't create, while the real cause remains unresolved.
That's the difference between reporting and analytics.
Reporting informs. Analytics guides decisions.
As analysts, our value isn't measured by the number of dashboards we build.
It's measured by the quality of the questions we ask and the decisions our insights help the business make.
#SalesAnalytics #BusinessAnalytics #CommercialExcellence
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Join me as I show you how to build an end-to-end Fabric solution
📅 Sunday, July 5
⏰ 5:00 PM WAT
📍 Microsoft Teams
🔗 Registration link :https://t.co/Yiegi4GRwa
DAY 22 OF 60 – WHO ARE YOUR MOST VALUABLE CUSTOMERS?
One of the simplest sales analyses you can perform is also one of the most powerful.
Rank your customers by revenue.
It sounds basic, but many businesses focus on total monthly sales without asking a more important question:
-Who is actually driving those sales?
Imagine analysing one month's sales data and discovering that your top five customers contribute over 70% of your total revenue.
That insight changes the conversation.
It tells you where your biggest opportunities are, but it also highlights your biggest risks.
If one of those key customers reduces orders, switches to a competitor, or experiences operational challenges, the impact on the business could be significant.
This is why customer ranking isn't just a reporting exercise. It's a decision-making tool.
Once you've identified your top customers, you can start asking better questions:
• Are we giving them the right level of support?
• Are we visiting them often enough?
• Are there opportunities to grow these accounts further?
• Are we too dependent on a small number of customers?
At the same time, don't ignore the long tail of smaller customers. While each may contribute less individually, together they often represent untapped growth potential.
Good sales analytics isn't just about knowing how much you sold.
It's about understanding who is buying, where your revenue comes from, and where your business is most exposed.
Sometimes, one simple chart is enough to change how a sales team prioritises its time and resources.
#SalesAnalytics #CustomerAnalytics #FMCG
DAY 21 OF 60 – HOW SALES TEAMS USE DATA IN FMCG
Welcome to Phase 3 of the series.
We've spent the last phase exploring operations, from retail and food service to distribution and manufacturing. Now it's time to focus on the commercial side of the business: Sales.
Sales is often viewed as simply hitting targets, but behind every high-performing sales team is data that guides better decisions.
Here are three areas where data plays a critical role:
📍 Route-to-Market
Understanding how products reach customers through different channels, general trade, modern trade, wholesalers, distributors, and direct sales.
Each route has its own cost, margin, and growth potential.
📍 Territory Management
Not every territory performs the same. Good sales analytics helps identify where opportunities exist, where performance is declining, and whether the issue is execution, product availability, or market conditions.
📍 Targets and Performance
Hitting a sales target is important, but understanding how it was achieved is even more valuable. Sustainable growth comes from healthy customer demand, not simply pushing inventory into the market.
One of the biggest shifts in successful FMCG organisations is moving from reporting what happened to predicting what is likely to happen next.
Instead of waiting until month-end to discover a missed target, analysts can help sales teams identify warning signs early, declining SKU performance, missed outlet visits, slowing customer purchases, or underperforming territories.
That's where data moves from being a reporting tool to becoming a decision-making tool.
Over the next few days, we'll dive deeper into customer analysis, sales reporting, pricing, performance metrics, and practical examples you can apply in your own work.
#DataAnalytics #RouteToMarket #TerritoryManagement