Managing the Analytic Data Pipeline- 8 Key Points
Failing to take a holistic approach to a data pipeline can produce dark, unused data or, even worse. It can force enterprises to make crucial business decisions based on inaccurate data. Within any analytics pipeline, suitable data management processes are paramount to present accurate and trustworthy information. Here is a checklist with 8 key steps for better management of the analytic data pipeline and help you answer the following questions:
- How can I make my data analytics-ready?
- How can I better manage my analytic data pipeline?
- Which vendor shall I choose for my data pipeline?
- How can I avoid getting stuck with outdated technology?
- Which tools can I use to meet the evolving demands?