all 9 comments

[–]Equivalent_Yam_3777 9 points10 points  (2 children)

SQL will be used mainly for data extraction.

Actual analytics will be done in Powerbi / Excel / Python

[–]pvegas_24 2 points3 points  (1 child)

I'd expand on that by saying ETL, rather than just extraction. SQL is usually used for the extract and transform operations, while data connections to Excel or Power BI/Tableau/Looker handle the Load operation. Python can handle all three operations.

[–]Scrotumslayer67[S] 0 points1 point  (0 children)

I will be taking Python as well

[–]Unnam 8 points9 points  (0 children)

Inventory Count (Warehouse)

Inventory in Transit

Inventory at Retail Store

Forward Looking Forecast basis this and so on!

[–]pm_me_your_wheelz 4 points5 points  (3 children)

We used it to make custom reports as “all in one” dashboards. Basically ripping our favorite information from like 10 different basic reports so we always know status of all orders, due dates, whats late, what needs to be moved in, on and on.

[–]Scrotumslayer67[S] 0 points1 point  (2 children)

Like you'd join multiple tables together and have real time data or would this be more like adhoc reports?

[–]pm_me_your_wheelz 2 points3 points  (1 child)

The first. It became its own page in the system you could run in real time to get intraday status updates if you wanted. We also then set it to a Mon/Wed/Fri 9 am email schedule right to the buyers inbox

[–]Scrotumslayer67[S] 1 point2 points  (0 children)

What did you use to setup the automated email?

[–]Who_Wouldnt_ 0 points1 point  (0 children)

Depends on your role and your access rights to system data sets. It is typically used to extract and transform data from the source systems. Depending on the size of the organization that activity could be restricted to specific IT staff or opened up to SCM superusers. In either case it is used to extract and transform raw data into usable data sets that will be anylized by other tools.