Dealing with data quality issues

In this workshop, Lorenzo reviews data management in relation to SmartAnalytics.

Topics covered:
Identifying data gaps
Data actions
Data Doctor

Topics and timing:
00:00 Agenda review
02:00 Steps to improve data quality: Detection - Evaluation - Solution - Mitigation and Prevention
03:00 Defining data quality issues
12:00 Editing data and running a "reprocessing job" for recalculation
17:00 Missing data (possible to identify through alerts/web hooks)
20:00 Data quality solutions
33:00 Data doctor
41:00 Data doctor FAQs
42:00 Sentinal-based gap filling
43:00 Participant question: Could we us this for real data for our Solar vs Energy usage?
49:00 API! Developers.wattics.com
51:00 Re-uploading data
59:00 Mitigation and prevention tips