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Managing and Reusing Data and Analyses


Wayne Levin, Farhan Mansoor  Predictum Inc.

Knowledge is the most important asset a company has; many companies employ JMP to efficiently and effectively generate it. But many questions remain. Once it’s generated, how is this knowledge managed? What happens to the observations and analyses recorded in data tables? How can findings from one study be compared to previous studies and how can previous studies inform new ones? How do transfers and employee mobility and availability affect research and improvement initiatives?

Without a method to handle data and the knowledge gleaned from this data, it’s very likely that the insights revealed will be lost or unavailable when needed, thus regenerated – often unknowingly – at a cost. This presentation provides an overview of the challenges in maintaining the investment in knowledge and a new system that Predictum has developed to contain and secure insights, analyses and supporting data. This system makes it really easy to upload and manage new data and analyses, and later search and re-exploit the findings. It allows analysts to readily see what others have observed so that they can be confident that they are not recreating what is already known, making it possible to combine or augment previous studies.