How organizations design, govern, and use data to achieve business goals. This tag covers architecture, tooling, and decision frameworks that make data useful at scale.
5 articles
Data Strategy
You open your laptop on Monday morning, and the first task is already manual: pull last week's sales from Shopify, match them against ad spend in a separate dashboard, then cross-reference inventory counts in a spreadsheet someone emailed Friday. By 9am you've touched four tools
Business Intelligence
Most startups under $5M in annual revenue do not need a business intelligence (BI) platform yet. (For subscription businesses, read "$5M" as $5M ARR, or annual recurring revenue.) They need BI when reporting becomes recurring, multi-source, team-wide, and slow enough to affect decisions. Before that point,
Data Analytics
Every article about data-driven decisions opens the same way. There's a McKinsey statistic. There's Netflix deciding to commission House of Cards based on 30 million viewing patterns. There's a flowchart with five steps. None of it shows you what a data-driven decision
Data Analytics
Monday morning. Your ops lead opens Shopify, exports this week's orders as a CSV, opens QuickBooks, exports the payment data, then spends the next hour reformatting both files in Excel so the columns line up, copies everything into the master reporting sheet, and fixes the dates because one
Data Silos
Why Your Business Data Lives in Five Different Tools and What to Do About It For a small business founder or operator, pulling up a weekly revenue report should be simple. But by the time you check Shopify for sales, QuickBooks for cash flow, HubSpot for leads, Google Sheets for