Name: Data Discovery and Self-Service Analytics.
Start: 2015-09-09T18:00:00+01:00
End: 2015-09-09T20:00:00+01:00
Location: Bank of Ireland

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http://s.mmgo.io/t/HeB

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

http://photos2.meetupstatic.com/photos/event/c/5/e/2/600_438230658.jpeg

Uli Bethke

Data Engineering and Data Architecture Group (DEDAG)

Technology

Data Architecture

Data Engineering

Data Integration

Master Data Management

Python

Data Science

Cloud Computing

Data Analytics

Data Quality

Data Management

Business Intelligence

Data Visualization

Data Discovery and Self-Service Analytics.

Bank of Ireland

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Data Engineering and Data Architecture Group (DEDAG)

Data Discovery and Self-Service Analytics.

Data Engineering and Data Architecture Group (DEDAG)

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