Let’s be honest. How many times this week has a PM or a stakeholder slack-messaged you:
"Hey, can you run a query to see how many users signed up from the holiday email campaign? And can you export that to CSV?"
And then 10 minutes later:
"Actually, can you filter that by region? And maybe make it a pie chart?"
If you are a developer, you didn’t sign up to be a human SQL-to-Excel converter. You signed up to build products. Yet, so many dev teams get stuck in the loop of building custom, hardcoded admin panels or running ad-hoc queries because the business lacks a true Business Intelligence (BI) layer.
The "Ad-Hoc" Trap 🕸️ When a company relies on raw database access or custom-coded admin views for analytics, three things break:
Performance: Running heavy analytical queries…
Let’s be honest. How many times this week has a PM or a stakeholder slack-messaged you:
"Hey, can you run a query to see how many users signed up from the holiday email campaign? And can you export that to CSV?"
And then 10 minutes later:
"Actually, can you filter that by region? And maybe make it a pie chart?"
If you are a developer, you didn’t sign up to be a human SQL-to-Excel converter. You signed up to build products. Yet, so many dev teams get stuck in the loop of building custom, hardcoded admin panels or running ad-hoc queries because the business lacks a true Business Intelligence (BI) layer.
The "Ad-Hoc" Trap 🕸️ When a company relies on raw database access or custom-coded admin views for analytics, three things break:
Performance: Running heavy analytical queries on your production OLTP database slows down your app.
Scalability: Every new business question requires a developer to write code.
Sanity: You spend your sprints maintaining charts instead of shipping features.
The Architecture Fix: Decoupling Data from Presentation At Besttech, we advocate for separating the "Application State" from the "Analytical State."
Instead of building GET /api/admin/sales-report endpoints, the modern approach looks like this:
Ingest: Data flows from your App DB (Postgres/Mongo) → Data Warehouse (Snowflake/BigQuery).
Model: Data is cleaned and modeled (DBT/SQL) into "Business Logic."
Visualize: A BI Tool connects here.
Why Besttech focuses on BI We specialize in setting up this infrastructure so developers can get back to coding. A good BI implementation allows the marketing team to drag-and-drop their own charts and filter their own data without touching a single line of your codebase.
The Result?
Devs: Focus on features and core infrastructure.
Business: Gets real-time data without begging for tickets.
App: Stays fast because analytics aren’t hitting the primary DB.
Stop building one-off charts. Start architecting a data culture.
👋 I’m from Besttech. We build custom software and data solutions. If you’re tired of being the SQL-monkey for your team, let’s chat about setting up a proper BI pipeline.