Web Seminars

BEST PRACTICES: Establishing Business-Led Multi-Domain MDM & RDM
December 16, 2014
Overview of Predictive Analytics for Healthcare — What Is Needed to Be Successful
December 10, 2014
360 Degree View of Customer Revisited in the Era of Big Data
December 3, 2014

Building the Data Science Team

Available On-Demand

Date Held: August 12, 2013

Everyone in the business intelligence community has been talking about the introduction of the Data Scientist role within their company’s business analysis community. The Data Scientist is a person with a unique combination of skills (data analysis experience, software development know how, and business acumen) that is able to identify business problems and take on any activity necessary to analyze and understand a business problem.

What makes these individuals invaluable is their keen ability to manipulate and analyze their company’s enormous information assets - from traditional applications (Finance, Sales, HR, and CRM) to cloud-based applications, social media, and even 3rd party content. And what the early adopters learned is that Data Science success is based not simply on the skills of the Data Scientist, but the breadth of capabilities of the entire Data Science team.

In much the same way that a world-class researcher relies upon the strength of his team and the resources of his lab, a data scientist depends on his Data Science team’s breadth of skill and technical environment. In this webinar, Evan Levy will discuss the details of how leading organizations have built data science teams to tackle their daunting analytical challenges. The details covered during this session will include.

  • The obstacles and roadblocks to Data Science delivery
  • The Platforms and tools within the Data Science Lab
  • Members of the Data Science team
  • Individual team member activities

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