Data Discovery and Self-Service Analytics.
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As always we have a couple of very interesting presentations
An introduction to data discovery and self-service analytics - Concepts and tools. Uli Bethke, Co-founder, Sonra
Data discovery tools are a new breed of application that allow data workers to apply complex transformations to data sets from a browser GUI. All this without the involvement of IT or writing a single line of code. This is useful for data preparation for data scientists or when data sets have not yet been cleansed and loaded into a data warehouse. As part of the presentation I will answer the following questions: What is data discovery? How is it different from business intelligence? What are common use cases and popular tools?
Demo of Datameer - Uli Bethke and John Mulhall, HUG Ireland Community Manager
John will present the Datameer tool and Uli will run a demo of the tool showing some of its basic functionality and features of interest.
Self-service analytics at Icon plc - Michael Phillips PhD, Director Product Innovation, ICON plc
Using TIBCO Spotfire’s very accessible API, we have built a standard analytics template for the central monitoring of central nervous system (CNS) clinical trials. CNS trials have a relatively poor success rate, not least because it is difficult to measure their clinical endpoints. Clinical outcome assessments (scales), and particularly clinician-reported outcomes (ClinROs), are often selected as primary outcome measures in CNS trials, and a small number of errors in these somewhat subjective instruments can profoundly affect study results. Using three key risk indicator (KRI) themes, a standardized clinical data model, a scales rule “engine,” and interactive visualizations, we have built a flexible analytics template that can deploy any CNS indication for any set of scales and with study-specific KRIs. The scales rule engine is a self-service analytics tool, accommodating complex scale summation rules and study-specific KRI requirements without any need for additional programming or template development. In this presentation, we will demonstrate the principles of the self-service scales rule engine and the use of scale-based KRIs for the effective monitoring of ClinRO methodological consistency.
Finally, we have an overview of the Predict 2015 conference by Ahmed Chebbi, International Business Development Executive with Creme Global.
Map for directions
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Data Discovery and Self-Service Analytics.