Data prep—the act of cleansing, blending, and processing raw data for self-service analytics—sounds relatively simple but can be an overwhelming and time-consuming task.
During this on-demand video, Analyst Alexander Ziko of Rapid Insight discusses the basics of data access and prep. He explores 7 common data prep tasks required for reporting, predictive modeling, and ad hoc analysis, including:
- Data Cleansing
The presentation discusses best practices and tools required to effectively tackle data prep challenges and provides an in-depth product demonstration of Construct, the easy and affordable data prep tool from Rapid Insight