Idarabong | Retail & E-Commerce Analyst

This was my first dashboard and I'm so grateful for progress.

@Odunthedatagirl I wonder o

Who told you people to include the image of what you are analyzing in the middle of your dashboard? Why am I seeing a car in 3d instead of Insights fgs

As someone who works extensively with Power BI, I decided to explore a similar capability in Excel using Power Pivot. Let’s get started.

@Fcb_Bigfan @kudehinbu_jr Send me a dm

@tidalyst @kudehinbu_jr I’ve been having issues getting a live link for my dashboard and I’ve also exhausted all the resources and guides within my reach as to this all futile. Please can I get tips or guides on how to go about it. Thank you. @tidalyst

I just completed a Financial Performance Dashboard for AfriPay Solutions Ltd under the mentorship of Mubar Dauda. This was not just a Power BI project. It was a real fintech business problem: turning fragmented financial data into decision-ready insights.

Finally finished it. The best way to learn is to push yourself outside your comfort zone. x.com/i/status/20476…

@Olumi_dave Ww Thank you David

@tidalyst I love this ❤️

@_VictorUgwu Thank you Victor

@tidalyst Amazing 🤩

@Mr_Akinlabi Thank you

👏👏👏

@ObohX Thank you Freedom

@tidalyst Amazing work 👏

@gaagana_ Thank you Gabriel

@tidalyst You're good at what you do

@Rofeeah_Tijani Thank you

@tidalyst Great work 👏

@AnthonyWayas1 Thank you Anthony

@tidalyst This right here explains a lot at first glance, great work!

@Fcb_Bigfan @kudehinbu_jr Shoot!

@tidalyst @kudehinbu_jr Great work…Please I’ve a question @tidalyst

4/4 Key insights: • Revenue exceeded budget but profitability declined • Operating margins stayed negative • CapEx (Tech + Dev) drove overspending • Cost-to-Income showed inefficiency Lesson: dashboards are for decisions, not visuals. Dashboard: app.powerbi.com/view?r=eyJrIjo…

3/4 I built a full BI system: • ETL across Excel, CSV, SQL • Star schema (Budget, Actuals, Dept, Accounts, Date) • GL mapping for financial structure • DAX for variance, YTD, profitability, trends • Executive, Department, and Trend dashboards

@techiehub_28 Congratulations Ruffy 🎉

#memories SabiCAMP groomed me..😶 Both technical and non technical path. I participated in the last cohort and also came out as the BGS of my set.🎉🫢 It was worthwhile 🤍.. Don't sleep on this career acceleration program, guys. Register via the link in my repost👇 #career

@Oluwayeaka Congratulations David

The long awaiting confirmation is here and I honestly can not contain my joy. I accept congratulations guys I'm so elated right now. Guess the best part, just guess?😊😊 220% salary increment with extra transport allowance oo make una pour me water ooo

𝗠𝘆 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 𝗱𝗶𝗱𝗻’𝘁 𝘁𝗵𝗶𝗻𝗸 𝘁𝗵𝗲𝘆 𝗰𝗼𝘂𝗹𝗱 𝗯𝘂𝗶𝗹𝗱 𝘁𝗵𝗶𝘀. Honestly, some of them didn’t even sign up expecting to. They came in for Power BI. Charts. Slicers. Dashboards. The usual. At the start of the series, I gave Cohort 8 a challenge. No templates. No hand-holding. Just a real scenario: “You’re the medical director of a sports organisation. Every Monday morning, you sit down to make decisions about your athletes. What do you need to see?” And then I stepped back. We just wrapped up. And what they built is AthleteX Care. A full sports injury analytics solution. Two pages. Built from scratch. → Star schema data model with 8 dimension tables → Time intelligence implemented properly from day one → Custom HTML KPI cards with YoY comparisons and pulse indicators → Flip cards that reveal deeper context on hover → SVG sparklines with gradient fills replacing flat charts → Circular workload gauges, injury timelines, severity pills — all dynamic, all driven by DAX → Figma-designed background that makes it feel like a real product 5,000 injuries tracked. €9.18M in expenses. Player-level detail across the board. But that’s not what stayed with me. It was the moment they saw the finished dashboard. Not because of how it looked. Because they built it. People who, weeks ago, had never written a DAX measure were now looking at something that felt like it belonged inside a real sports organisation. That shift changes everything. That’s why I teach the way I teach. No shortcuts. No drag-and-drop tutorials. No “fill in the template.” Just real problems. Real builds. Real outcomes. The live dashboard is in the comments — go interact with it. 𝗖𝗼𝗵𝗼𝗿𝘁 𝟵 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗽𝗲𝗻 𝘀𝗼𝗼𝗻. If you want to build at this level, the link is in the comments. #datafam

Week 11 of 16 learning Python in public with @TDataImmersed Focused on full Exploratory Data Analysis (EDA), combining distributions, correlations, anomalies, and dashboards to uncover supply chain risks and opportunities. @DabereNnamani @ThePSF #TheDataImmersed #python