Data, AI, Software, Technical Writing
๐ฌ๐ข๐จ๐ฅ ๐ฆ๐๐๐๐ฆ ๐๐๐ง๐ ๐๐๐ฅ๐๐๐๐ฌ ๐๐ก๐ข๐ช๐ฆ ๐ช๐๐๐๐ ๐๐จ๐ฆ๐ง๐ข๐ ๐๐ฅ๐ฆ ๐๐ฅ๐ ๐๐๐ข๐จ๐ง ๐ง๐ข ๐๐๐๐ฉ๐.
Most owners check that money came in. Few ask what the numbers say about next month.
I ran a 90-day Dead Stock Check on Horti Supplies data (about $14,500 in sales).
In plain sight:
๐ค ๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐๐ผ๐ฝ ๐ฎ๐ฑ ๐ฐ๐๐๐๐ผ๐บ๐ฒ๐ฟ๐ ๐พ๐๐ถ๐ฒ๐๐น๐ ๐๐๐ผ๐ฝ๐ฝ๐ฒ๐ฑ ๐ฏ๐๐๐ถ๐ป๐ด: about $550 a month walking away.
$๐ต๐ฐ๐ฌ ๐๐๐๐ฐ๐ธ ๐ผ๐ป ๐๐ต๐ฒ ๐๐ต๐ฒ๐น๐ณ - 8 products unsold for 30 to 83 days made 2.4% of sales but held 22% of stock value.
๐ ๐ง๐ต๐ฒ ๐ฏ๐ฟ๐ฑ ๐ฏ๐ฒ๐๐-๐๐ฒ๐น๐น๐ถ๐ป๐ด ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐ ๐ฟ๐ฎ๐ป๐ธ๐ฒ๐ฑ ๐ฎ๐ญ๐๐ ๐ณ๐ผ๐ฟ ๐ฝ๐ฟ๐ผ๐ณ๐ถ๐.
๐ ๐ง๐ต๐ฟ๐ฒ๐ฒ ๐๐น๐ผ๐ ๐ฎ๐ณ๐๐ฒ๐ฟ๐ป๐ผ๐ผ๐ป ๐ต๐ผ๐๐ฟ๐ - brought in 7% of sales; rent and staff costs didnโt drop.
๐ง๐ฟ๐ ๐๐ต๐ถ๐ ๐๐ผ๐ฑ๐ฎ๐ (๐ญ๐ฌ ๐บ๐ถ๐ป๐๐๐ฒ๐, ๐ป๐ผ ๐๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ): export last monthโs sales, sort by profit, and circle anything that earned almost nothing but took up shelf space.
๐ง๐๐ผ ๐๐ฎ๐๐ ๐ ๐ฐ๐ฎ๐ป ๐ต๐ฒ๐น๐ฝ:
1๏ธโฃ ๐ง๐ต๐ฒ ๐๐ฒ๐ฎ๐ฑ ๐ฆ๐๐ผ๐ฐ๐ธ ๐๐ต๐ฒ๐ฐ๐ธ: send one month of sales data (names removed is fine) and get a one-page report on where cash is stuck, which customers are drifting, and 3 actions for this week. ๐ The first 10 get it free, in return for sharing the anonymised result as a case study.
2๏ธโฃ ๐๐ผ๐บ๐ถ๐ป๐ด ๐๐ผ๐ผ๐ป, ๐๐ป๐๐ถ๐ด๐ต๐๐๐ผ๐ผ๐ฝ: upload a CSV or SQL export and get a named diagnosis (Customer Churn, Dead Stock, Demand Forecast) plus a visual report.
๐๐ผ๐บ๐บ๐ฒ๐ป๐ โ๐๐๐๐๐โ ๐ณ๐ผ๐ฟ ๐ฎ ๐ณ๐ฟ๐ฒ๐ฒ ๐๐ฒ๐ฎ๐ฑ ๐ฆ๐๐ผ๐ฐ๐ธ ๐๐ต๐ฒ๐ฐ๐ธ, ๐ผ๐ฟ โ๐๐ข๐ข๐ฃโ ๐ณ๐ผ๐ฟ ๐๐ต๐ฒ ๐๐ป๐๐ถ๐ด๐ต๐๐๐ผ๐ผ๐ฝ ๐๐ฎ๐ถ๐๐น๐ถ๐๐.
Iโm Moses, a data engineer and founder of Closertune. Do you know an owner who says, โSales are slow, but I donโt know whyโ?
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I recently built an interactive Power BI sales dashboard tracking $17.91M in total sales across supervisors, managers, and order years.
I then designed the data model and DAX measures behind the KPI cards, gauge, and trend visuals, and built drill-down views: sales by supervisor and year, quantity split by manager, and order volume by year.
I used combo visuals (donut, gauge, bar, and line charts) on one page so stakeholders can get the full picture without switching reports.
I also focused on a clean, single-screen layout that non-technical stakeholders can read at a glance.
#Microsoft Power BI #Daxko Operations #Data Visualization #Data Modeling #Business Intelligence
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