Often, we find that a client needs to organize its data properly to get started on analytics and AI.
Thus, before we rush into lofty matters, let’s collect all data inside the centralized warehouse, unify and automate ETL pipelines to keep the data consistent and updated in time.
Why would you want to organize your data?
Proper data management is a long-term investment.
It pays off generously on a months and years scale in the forms of:
- Significant reduction in manual toil.
Your resources will be able to focus on valuable business goals rather than manually running SQL queries.
Wait, your Data Scientists still do that instead of their direct responsibilities?
You’re wasting your money!
- Consistent data sources and consistent reports & charts.
Remember that budget report you showed in May?
And how your colleagues in California showed other numbers.
Yep, quite a situation.
And all due to the scattered data sources and eventual consistency.
- Simplification & time savings of working with one data source.
Does your DBA department spend 90% of time customizing queries to assemble the data every month?
Congrats, you’re wasting money.
These are only a few core benefits.
Every organization, sooner or later, meets the need to organize and process its data properly.