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Practical Thinking on Data and Technology.
Short, practical articles on data platforms, reporting, AI readiness, automation and building data teams.
Data calling: how calling past customers recovered half an e-commerce company's revenue
When Bangladesh's internet went down in July 2024, an e-commerce company's online revenue fell to zero. Calling past customers brought back almost half of it. What worked, what broke, and how to run data calling properly.
Read more · 5 min readWhy BI dashboards get ignored, and what a BI project needs first
Most BI projects fail before the first useful dashboard. Three reasons from real projects, including a Bangladeshi e-commerce company that spent six months on a dashboard nobody used.
Read more · 4 min readLambda or Glue? Handling a full-refresh API that broke Lambda's 15-minute limit
A Jira reporting pipeline outgrew AWS Lambda's 15-minute limit because the API could only return full data. How we moved heavy loads to one scheduled Glue job and kept Lambda for incremental work.
Read more · 3 min readBuilt your app with AI? 10 things to fix before real customers use it
AI tools like Claude and Cursor can build a working app in days. Here is what usually needs fixing before it handles real customers and real data.
Read more · 6 min readWhat does a data engineer cost in 2026? US, UK and offshore compared
Senior data engineers are among the hardest roles to hire. Here is how in-house, contractor and offshore options compare on cost, speed and risk.
Read more · 5 min readPower BI vs Tableau vs Apache Superset: which BI tool fits your business?
The best BI tool depends on your data, your team and your budget. A practical comparison of three popular options.
Read more · 6 min readHiring offshore data engineers: what to check before you sign
Augmenting your team with offshore data engineers can save months of hiring. These checks help you choose the right partner.
Read more · 4 min readData warehouse, data lake or lakehouse: what does your business need?
Three architectures, one question: where should your company's data live so reporting and AI can trust it?
Read more · 5 min readBuild vs buy: when an off-the-shelf tool beats custom software
Custom software is not always the answer. How to decide whether to build, buy or simply change the process.
Read more · 4 min readKanban vs Scrum vs Scrumban: choosing the right Jira workflow
No single workflow suits every team. How to match your Jira setup to the nature of your work and your team's capacity.
Read more · 5 min readWhat a good SLA should include when you outsource data or software work
A service level agreement protects you only if it is specific. The clauses that matter when you outsource engineering.
Read more · 4 min readIs your data ready for AI? A practical checklist
Most AI projects stall because of the data, not the model. Use this checklist before you invest.
Read more · 5 min readHow online sellers in Bangladesh can reduce return-to-origin on COD orders
Refused cash-on-delivery parcels quietly eat into margins. Practical ways to cut return-to-origin losses.
Read more · 4 min read7 signs your business has outgrown spreadsheet reporting
Spreadsheets are a great start, but they quietly become a risk as a business grows. Here are the warning signs and what to do next.
Read more · 4 min read