Published spend transparency data requirements were introduced via the Open Payments program, as mandated in the Affordable Care Act, to raise awareness of the financial influence that drug and device manufacturers have on the so-called covered recipients (physicians and a defined set of teaching hospitals).
For those unfamiliar with Redis, it is an open source, in-memory data structure server. Originally conceived to solve a problem that required speed and simplicity, it soon became clear that Redis had applications far beyond its original intent. Redis has since grown to include many data structures that resolve very complex programming problems with simple commands executed within the data store.
Beyond Lead Scoring: New Tech Brings Predictive Analytics Deeper into the Funnel to Accurately Forecast Sales Success
How To Work Through “Analysis Paralysis” And Understand The Difference Between Data Analysis And Data Visualization
In this special guest feature, Collin Sebastian, Chief Product Officer at YouEye observes that the more graphs, maps, reports, and dashboards we use to slice and dice our data, the more time we spend analyzing — and the less time we spend actually making decisions. There’s a solution to this paralysis, and it begins with understanding the difference between data analysis and data visualization.