Data needs Analytics – the new value of data!

Thursday, November 04, 2021 10:00-11:00 CET / GMT+1

Bridging the gap between Data and Analytics is one of the biggest challenges any organization faces today. 

The abundance of data, the growing challenges of data management and the rising need for analytics to really understand your business create friction and pose a threat to those who are not able to bridge the gap. 

In this webinar we will share with you fresh insights in how to manage data science initiatives and how analytics benefits from simplified, robust data architectures.

 Have a look at the recording


Welcome & Introduction

How to manage data science as a process
of continuous improvement?

Prof. Dr. Diego Kuonen; CStat PStat

It is increasingly clear that organizations do not know how to manage data science at the enterprise level. As such, this presentation addresses the issues associated with managing the process at an enterprise level by illustrating our “data science management process” -


  • Business Analytics
  • Big Data Analytics
  • Data Science
  • Statistical Engineering
  • Statistical Thinking

Prof. Dr. Diego Kuonen | LinkedIn


Analytics purpose: Generate value for many –
Analytics needs: Access to Data, Quality of Data,
Speed to Results

Cosimo Caforio, General Manager StatSoft Europe

“Digitalization and transformation” is all about data. Most of the new value in digitalization projects comes from data. Data is important and when it’s generated, data must be fit for analytical usage and purpose.


  • Big Date, Process Data, loT
  • AML (Risk, Fraud)
  • Advances Analytics / Data Science
  • Analytics Consulting
  • Digitalization Strategy

Cosimo Caforio | LinkedIn


Simplified, Robust Data Architectures to drive 
analytical success

Erik Fransen, General Manager Connected Data Group

The foundation of any digital transformation is connecting to data, unifying data, and providing data in the right format to the right users, for the right analytical purpose. Simplification, robustness, and manageability of your data architecture are key in creating that foundation and achieve analytical excellence.


  • Business Analytics
  • Big Data Analytics
  • Analytics Consulting
  • Data Collection Strategies
  • Data Management

Erik Fransen | LinkedIn


Best practices

Analytics Use case by StatSoft 
CSL Behring is a global pharmaceutical company. Their use case shows how to implement analytics that are generating value for many.

StatSoft CaseStudy Data Analytics and Reporting in Pharma EN

StatSoft Credendo CaseStudy TIBCO StatisticaTM as Unified Data Science Platform EN

Use case by Connected Data Group
The use case of a leading financial services organization shows how a Data & Analytics Platform, fueled by Data Virtualization, accelerates innovation with data and enables users to have easy, quick and integrated access to any data.

CDG CaseStudy Volkswagen Pon Financial Services

CDG CaseStudy Clloetta

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