Follow the Logical Brick Road to the Intelligent Enterprise! A Brick by Brick Roadmap Traditional to Logical DW and Intelligent Enterprise
Share this Session:
  Luminita Vollmer   Luminita Vollmer
Enterprise and Information Architecture Champion
Thrivent Financial


Wednesday, April 1, 2015
08:30 AM - 09:15 AM

Level:  Advanced

Times and technologies are a changing, and times of traditional data warehouse development initiatives are long gone. Agile, Sandbox, Big data, Virtual integration, Advanced Analytics - only a few of the technologies currently changing the landscape of the business to meet new real time demands, large data sets, variety of sources and structures, and totally new RDBMS systems. This session provides a framework and a roadmap to the new logical data warehouse (LDW), new capabilities for Business Intelligence domains and a set of techniques for architecturally significant considerations when changes are needed in your organization. The attendees will have a good understanding of the following:
  • Logical Data Warehouse components
  • Benefits and capabilities of each component
  • Specific technologies and implementation alternatives
  • Major use cases for building each component w/ capabilities
  • What not to do when moving towards a LDW
  • The top 10 most important concepts about a LDW

Luminita is a passionate champion for Enterprise and Information Architecture with extensive experience in Enterprise Information Management and new data and digital technologies . Her experience spans several industries - banking, insurance and finance, manufacturing, health care. She holds an undergraduate degree in MIS/Business/Finance from Augsburg College in Minneapolis, and an MBA from St. Thomas College in St. Paul Minnesota. Luminita is an active member of the local DAMA MN chapter, TwinCities Business Architecture forum (TCBAF) and Architecture (AES); she is a volunteer and board member for the Bloomington-Izumi SisterCity organization in Bloomington, MN ( Luminita is a CDMP and CBIP certified data architect.

Close Window