By David Stodder
Data visualization, data discovery, and analytics technologies are rapidly maturing and are becoming easier to use. However, success with these technologies is not as simple as just turning them on. This Ten Mistakes to Avoid identifies important factors in the success or failure of visual BI and analytics deployment and recommends practices for addressing them.
File Type: .pdf
File Size: 383 KB
Duration: 16 pages
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By Patty Haines
Data quality is essential to getting more value from your organization’s data assets. Analysts, data scientists, and managers must know and understand the quality of the data they are using to make decisions and to set direction for their organizations if they are to make the best decisions.