π Turning Raw Retail Data Into Business Insights I recently worked on a retail sales dataset to ...π Turning Raw Retail Data Into Business Insights I recently worked on a retail sales dataset to ...
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π Turning Raw Retail Data Into Business Insights
I recently worked on a retail sales dataset to demonstrate how raw business data can be transformed into useful insights.
My process included:
β Data cleaning and validation
β Revenue calculations
β Sales performance analysis
β Product and store analysis
β Excel/Power BI visualization
β Identifying actionable business insights
The analysis answers questions such as:
β’ Which store generates the most revenue?
β’ Which products drive sales?
β’ Which products sell the most units?
β’ Which salesperson performs best?
β’ How do sales change over time?
Tools: Excel | Power BI | Python/Pandas | SQL
Clean data is the foundation. Good analysis turns that data into decisions.
Over the past year, I've noticed most businesses don't struggle because they lack data β they struggle because that data never turns into a decision.
That's the gap I work in:
β Cleaning and analyze data with Python & R
β Turning findings into investor-ready pitch decks
β Polishing the final write-up so nothing gets lost in translation
If your team has data sitting in spreadsheets with no story attached, or a pitch deck that needs to actually land β that's exactly where I can help.
π 24+ Years Footwear Expert β Now Helping USA Shoe Brands 3X ROAS with Facebook & Instagram Ads
I just launched my new project: Facebook & Instagram Ads for Shoe Brands Only!
π« Why ONLY Shoe Brands?
I was Ex-Head Commercial of Top 3 Footwear Factory in Bangladesh. I know shoe buyer psychology, not just ads.
π― Recent Result: USA Hemp Sneaker Brand
ROAS 1.2x β 3.2x in 30 Days
CPC $0.80 β $0.35
Revenue $15k β $38k/mo
Most agencies run generic ads. I build:
β Shoe-buyer only audiences (Sneakerheads, not random interests)
β UGC Try-on + Factory Story Creatives
β Shopify + Subscription Funnel for Repeat Buyers
If you own a Shoe Brand (Sneakers, Boots, Sustainable Shoes like 8000Kicks), drop your store URL - I'll send you FREE 5-min audit with 3 mistakes losing you money.
Let's make your shoe brand the next 8000Kicks π
BEFORE: Client had messy Excel inventory with 500 rows, duplicates (A12 / a12), blanks, wrong prices like "$ 2.5" and "N/A", and different warehouse names (KER / ker / Kericho).
AFTER: I did:
Removed 12 duplicate SKUs
Standardized item names to Title Case
Fixed QTY and Prices to 2 decimals
Unified Warehouse to Kericho
Made sheet ready for pivot dashboard
Result: Clean, ready-to-use inventory in 2 days using Excel.
Tools: Excel, Remove Duplicates, Text to Columns, TRIM, PROPER