Migrating from Traditional BI to Modern Enterprise Analytics Architectures

Is Enterprise BI dead? Many believe so, and it's being replaced by more agile, collaborative approaches of modern Enterprise Analytics. Enterprise BI was born in the 1990's, fundamentally enabled by the data warehouse and a shared data semantic that enabled users to interact with data without requiring an understanding of the underlying database structure. Now, however, a confluence of ubiquitous connectivity, impatient users, enhanced compute power, and the rise of collaboration have shaken EBI at its core, bringing about data and analytical extensions to meet additional needs.

Enterprise Analytics leverages IT and engineering resources to provide a shared, secure data asset, but also fosters an ecosystem where analytics evolve through creativity, exploration, collaboration and sharing. IT becomes a strategic enabler, providing a centralized BI and data services platform. Meanwhile, business analysts and data scientists drive business innovation through self-service analytics technologies that leverage and extend a shared corporate data asset. In this presentation, we'll discuss trends that have been driving the shift from EBI to EA, examining new data architectures that inspire collaboration and self-service, while reviewing the technology components that are part of a modern Enterprise Analytics architecture.

Dave is a co-founder of Inquidia with 25 years of data analytics consulting experience across a multitude of industries. He is a versatile business technologist providing hands-on architecture and implementation expertise and experienced business strategy, leadership and planning. Dave is Cloudera and Hadoop Certified and an active member of several Big Data communities. Prior to founding Inquidia, he was a Partner for TUSC, Vice President for Fair Isaac and Senior Vice President for Braun Consulting. Dave holds degrees in Computer Science and Mathematics from Valparaiso University and the University of Illinois.

Kevin R. Haas is a Partner with Inquidia. With nearly twenty years of experience with business intelligence technologies, he is recognized for his ability to identify and scope the opportunities, visualize and design the solutions, define the path to realize them, and execute on that goal. Kevin is known for his hands-on technical knowledge and free-thinking to deliver solutions that go beyond standard methodologies and approaches. Kevin's worked in business analytics across many industries, including healthcare, logistics, and media. Kevin holds a Master of Science degree from the Northwestern University and a Bachelor of Arts from University of Florida.