1 year ago

Data prep is a problem that plagues almost every organization when it comes to the ability to understand and surface actionable insights from business-critical data. However, in order for organizations to use business and https://sisudata.com/resources/guides-and-whitepapers/decision-intelligence to comprehensively understand and extract value from their data, that data must first be thoughtfully prepared.

Start with Your Metrics https://www.linkedin.com/in/joelmckelvey/ Before starting data prep, the data team needs to consider goals — specifically, what the business is seeking to measure and what types of insights might be needed.

Doing so sets your data team up for success to quickly analyze complex data, surface https://sisudata.com/resources/datasheets-and-infographics/designing-datasets-guide and turn those insights into actionable business decisions.

Tools such as AI/ML-powered analytics can provide programmatically defined measures of data relevance, based on the metrics the data team defines.