The quality of data downstream relies directly on data quality in the first mile. As early as ingestion, accurate and reliable data will ensure that the data used downstream for analytics, visualization and data science will be of high value.
For a business, this makes all the difference between benefiting from the data and having it play second fiddle when making decisions. In this blog post, we describe the importance of data quality, how to audit and monitor your data, and how to get your leadership, colleagues and board—on board.
Topics covered:
- Proactive data observability
- Auditing data for quality
- Data quality or data value?
- How to approach the C-level and the board
- How to train internally
- The curse of the “Other”
- Best practices for getting started: Ensuring data quality across the enterprise