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Geraldine Onyedibe@Geraldyne_25
May 15
Everything looks like a priority until you move the benchmark 14/15 #HTTDataChallenge ✅ #FMCGNigeria #SQLAggregations #PostgreSQL
PostgreSQL interface showing a query that segment sales channels into "High Value" and "Low Value" based on a $100M threshold.

ALT PostgreSQL interface showing a query that segment sales channels into "High Value" and "Low Value" based on a $100M threshold.

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inango@inango_thomas
May 14
Whelp☹️... Day 14 of @hertechtrail #HTTDataChallenge task is to retrieve the total sales for each channel from which clients access the company. Highlight high value and low value channels. #SQLJoinAggregations #DataIntegration
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inango@inango_thomas
May 13
Day 13 of @hertechtrail #HTTDataChallenge task: find customers who have made orders above the average order value. @phaibooboo @it_is_reel @precy_oma @Ogbonna42449096 @AtiJoshua #SQLSubqueries #DataAnalysis
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inango@inango_thomas
May 12
Day 12 of the @hertechtrail @HTTDataChallenge task is to calculate total sales and average order value by region using SUM(), AVG(), COUNT() and chained JOINs across 4 tables. N/B I used ROUND() on your AVG() to reduce my decimal places. #SQLAggregation #DataAnalytics
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Geraldine Onyedibe@Geraldyne_25
May 12
Precision > Volume Today's focus: SQL Aggregations Used SUM and AVG to rank revenue generators. Identifying the primary accounts helps to prioritize resources effectively. Day 12 of #HTTDataChallenge ✅ #FMCGNigeria #DataAnalytics #SQL
SQL logic aggregating total sales and average order value across regions, using multi-table joins and currency formatting.

ALT SQL logic aggregating total sales and average order value across regions, using multi-table joins and currency formatting.

A ranked performance table identifying top revenue-driving accounts like EOG Resources and IBM, sorted by total sales.

ALT A ranked performance table identifying top revenue-driving accounts like EOG Resources and IBM, sorted by total sales.

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inango@inango_thomas
May 11
Day 10 of the @hertechtrail #HTTDataChallenge is to join two tables and retrieve 3 columns each from them I joined accounts and orders table, and retrieved 3 columns each using SQL query. #SQLJoining #DataIntegration
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Geraldine Onyedibe@Geraldyne_25
May 11
If you can't link customers to revenue, you're flying blind. Today: Data Integration using SQL JOINS to bridge the 'Accounts' & 'Orders' tables. Result: 6,912 transactions mapped to names/POCs. Day11 of #HTTDataChallenge @hertechtrail #FMCGNigeria #SQL #DataAnalysis
PostgreSQL query results showing a successful INNER JOIN between client accounts and sales orders, transforming raw ID numbers into a clear map of customer revenue.

ALT PostgreSQL query results showing a successful INNER JOIN between client accounts and sales orders, transforming raw ID numbers into a clear map of customer revenue.

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inango@inango_thomas
May 9
Day 10 of the @hertechtrail #HTTDataChallenge was to retrieve customer names in alphabetical order using SQL query. SELECT name (retrieves only the name column) FROM accounts (your customer names are in the accounts table) ORDER BY & ASC (sorts in ascending order ) #SQLQuery
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Geraldine Onyedibe@Geraldyne_25
May 8
If the team can't find data quickly, you are losing money. Day 10 of #HTTDataChallenge: Using SQL to automate the order of the accounts table. No more manual sorting; just clean, searchable results ready for the next business move. #SQLSorting #DataManipulation #FMCGNigeria
PostgreSQL interface showing the use of the ORDER BY command to instantly organize 350 customer accounts for better searchability.

ALT PostgreSQL interface showing the use of the ORDER BY command to instantly organize 350 customer accounts for better searchability.

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inango@inango_thomas
May 7
I’m early today😂🤭 Day 9 of the @hertechtrail #HTTDataChallenge task is to retrieve all column from any specific table I used the commands SELECT * FROM region; Result = 4 rows and 2 columns SELECT * FROM accounts; Result = 351 rows and 7 columns #SQLQuery #SQLBasics
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Geraldine Onyedibe@Geraldyne_25
May 6
A busy manager shouldn't have to "study" a chart to find the answer. For Day 8, I highlighted the top performer: Skechers. Instead of a cluttered graph, I used a clean bar chart to tell the story. Clarity over clutter, every time. #HTTDataChallenge #FMCG #SalesAnalysis
Horizontal bar chart showing brand sales performance. Skechers is highlighted in blue as the top performer, significantly ahead of the other brands which are shown in neutral colors.

ALT Horizontal bar chart showing brand sales performance. Skechers is highlighted in blue as the top performer, significantly ahead of the other brands which are shown in neutral colors.

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inango@inango_thomas
May 6
Day 8 of the @hertechtrail #HTTDataChallenge and today’s task is to create a bar chart showing brand sales distribution on a shoes dataset. From the chart you can see that: Sketcher got $269,169 New Balance $261,632 Adidas $257,039 Reebok $238,827 Puma $233,750 Nike $192,770 👇🏾
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inango@inango_thomas
May 5
Day 7 of @hertechtrail #HTTDataChallenge and today’s task is data validation(making sure that only valid entries make it into the dataset. I made use of the brand column which only accepts 6 approved brands: Adidas, New Balance, Nike, Puma, Reebok & Sketchers. 👇🏾#DataValidation
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Ikechukwu Blessing@BlessingB82615
May 5
Sales over the year are inconsistent,with clear peaks in months like February, July, and October, while months like May and August show lower performance.This shows sales are influenced by timing or seasonal demand rather than steady growth.#HTTDataChallenge #hertechtrailacademy
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inango@inango_thomas
May 5
Yesterday was Day 6 of the @hertechtrail #HTTDataChallenge (I missed 🫠) I analyzed sales trend overtime of the shoe data set. This is what stood out for me: -Q4 is the strongest quarter at $404k -Q3 is the weakest (August and September went too low) 👇🏾👇🏾 #DataAnalysis
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Geraldine Onyedibe@Geraldyne_25
May 4
Building on "the what", I dove into the "why“ for Day 6. • Q3 Revenue dip: Needs mid-quarter restocking. • Nike: Low volume, top-tier revenue. • Online: High efficiency. • UAE: Market leader. Findings & Solutions in the screenshot #HTTDataChallenge #RetailAnalysis
Data visualization of sales analysis trend. Includes a "Findings and Solutions" section to aid business and growth strategy.

ALT Data visualization of sales analysis trend. Includes a "Findings and Solutions" section to aid business and growth strategy.

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Geraldine Onyedibe@Geraldyne_25
May 1
Omo, Day 5 of the #HTTDataChallenge tried to be funny with me today 😂 It was a bit of a challenge getting 3 different pivot tables stay consistent while slicing data. But the clarity at the end? Worth it. Revenue and Units analyzed. We move🥳🥳 #PivotTables #DataAnalysis
A sales analysis dashboard showing three Pivot Tables summarizing Shoe Sales by Channel, Country, and Brand, displaying Revenue and Units Sold.

ALT A sales analysis dashboard showing three Pivot Tables summarizing Shoe Sales by Channel, Country, and Brand, displaying Revenue and Units Sold.

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Geraldine Onyedibe@Geraldyne_25
Apr 30
Day 4 #HTTDataChallenge: I had to put in a bit of analytics here. Set a $3k benchmark to find the hidden driving force of the total revenue. It's one thing to see numbers, it's another to see the story they're telling. #DataAnalytics #LagosTech #WomenInTech
Data visualization using Excel Conditional Formatting to highlight sales over 3,000USD, isolating the 120 highest-impact records from a total of 1,000 rows.

ALT Data visualization using Excel Conditional Formatting to highlight sales over 3,000USD, isolating the 120 highest-impact records from a total of 1,000 rows.

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inango@inango_thomas
Apr 29
Day 3 of the #HTTDataChallenge @hertechtrail was all about using Excel formulas to to calculate: 
Total Sales using =SUM(Revenue_USD)
Found Average Order Value using =AVERAGE(Revenue_USD)
Also calculated Total Units Sold using =SUM(Units_Sold) #HerTechTrailAcademy #Excel
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Geraldine Onyedibe@Geraldyne_25
Apr 29
Day 3 #HTTDataChallenge Moving past the cleaning phase guys🙌🏼 Transitioned from data cleaning to business metrics today ✅ Calculated Total Sales & AOV 💡Key takeaway: AOV reveals the story behind sales growth #DataAnalysis #ExcelFormulas #WomenInTech
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