Organizing for Enterprise Data Science – New Analytics Structures, Roles and Relationships

What does a “Data Driven Organization” look like from an organizational perspective? In particular, what are the new Data Science roles and where do they report to in the organization? This panel will discuss the new roles, relationships, and structures in an analytics driven organization.

Advanced Analytics and Data Science - is there a difference?
Analytics Centers of Excellence, and Communities of Practice
Does Data Science work as a Shared Service?
What can be out sourced? What should be?
Technical and analytical skills required by effective Data Scientists
How do Data Science roles relate to current IT organizations? To the business? To Data Stewards?
What role for the new C-suite positions - Chief Data Officer and Chief Analytics Officer
How does all of this relate to current IT organizations?
When everyone claims to be a Data Scientist, how do you tell the real ones from the pretenders?

April Reeve has spent the last 25 years working as an enterprise architect and program manager. Now she is incorporating her enterprise data management knowledge in new Big Data and Advanced Analytics implementations.

April is an expert in multiple Data disciplines including Data Integration, Big Data, Data Conversion, Data Warehousing, Business Intelligence, Master Data Management, and Data Governance.

Christopher Bergh is a Founder and Head Chef at DataKitchen. Chris has more than 25 years of research, engineering, analytics, and executive management experience. Previously, Chris was Regional Vice President at Model N. Before Model N, Chris was COO of LeapFrogRx, a descriptive and predictive analytics software and service provider. Prior to LeapFrogRx Chris was CTO and VP of Product Management of MarketSoft (now part of IBM) . Prior to that, Chris developed Microsoft Passport, the predecessor to Windows Live ID, a distributed authentication system used by 100s of Millions of users today. Chris began his career at the MIT Lincoln Laboratory and NASA Ames Research Center. Chris served as a Peace Corps Volunteer Math Teacher in Botswana, Africa. Chris has an M.S. from Columbia University and a B.S. from the University of Wisconsin-Madison. He is an avid cyclist, hiker, reader, and father of two teenagers.

John Akred likes to help organizations become more data driven. Mr. Akred has over 15 years of experience in advanced analytical applications and analytical system architecture. He is a recognized expert in the areas of applied business analytics, machine learning, predictive analytics, and operational data mining. He has deep expertise in the application of various architectural approaches such as: distributed non-relational data stores (NoSQL), stream processing, in-database analytics, event-driven architectures and specialized appliances; to real-time scoring, real-time optimization, and similar applications of analytics at scale. John received a BA in Economics from the University of New Hampshire, and a MS in Computer Science, focused on Distributed Systems from DePaul University.

Tim is a teacher, author, and technology leader with DataStax. He is a conference speaker internationally and in the United States, and contributes to the Denver, Colorado tech community as president of the Denver Open Source User Group. He is the co-presenter of various O’Reilly training videos on topics ranging from Git to Mac OS X Productivity Tips to Apache Cassandra, and is the author of Gradle Beyond the Basics. He blogs very occasionally at http://timberglund.com, and lives in Littleton, CO, USA with the wife of his youth and their three children.