How often have you heard, “Without good data, you won’t have good AI?” It sounds simple, but studies show that “ensuring scalable, reliable data” is one of the top analytics challenges organizations face according to the Salesforce State of Data and Analytics Report. This challenge has significant downstream effects. Organizations that cannot confidently confirm they have reliable data cannot confidently adopt AI or self-service capabilities. To scale responsibly around AI and self-service-driven capabilities, organizations need a better process to explore, improve, and validate the data sources that drive them.
This blog provides the tools to monitor your Tableau data sources more effectively and a framework to drive iterative improvements, so you can be more confident in your data.
The framework consists of four steps: