Data - BI - AI - All Data Matters
Everything is connected. When you look at Data, You need to see
- What is value addition from BI - Dashboards
- What is value addition from Real-time - Dashboards
- If this does not make sense from Realtime / BI - Is it needed for AI / ML Models
The disconnected view will get into cycles. Have a balance of all views and customer angles to get the final goal :)
All data is useful if you have the right lens. Everything has its own value not everyone sees it.
A decade back. I remember in all my transaction tables, the Archival job was to clean up records older than a year and keep database performance updated. Now historical data is the essence of building ML models. Now Historical data is as much important as transactional data :)
Keep Exploring!!!
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