BBBT - IBM - 2016 - Feb
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Enabling Self-Service Analytics and Analytic Collaboration in the Architecture
Everyone agrees on the value on analytics. The real challenge now lies with IT’s ability to deliver. How do you enable and empower data scientists while at the same time allowing them to collaborate with the “citizen analysts” of the organization? How has the push for analytics to become more pervasive in the enterprise changed how we look at architecture? The answer is, it’s changed everything. The data warehouse has now evolved to a larger ecosystem that is more open, hybrid and multi-structured, of course. Self-service is a driving requirement of the analytic architecture, and IT is now challenged with enabling while maintaining a trusted level of governance and security. Data scientists, unlike data miners, are no longer put into a corner where they can have their own sandbox. They have a need to be able to collaborate and share discoveries and patterns much easier with the business community.
IBM is not only thinking about how to help our clients take advantage of a completely hybrid analytic architecture but how this architecture will work for them, how it will empower more of the business with analytics faster and on demand, and how it will foster collaboration across the key roles needing to share insight to make decisions.
Nancy Hensley – Director, Offering Management, IBM Analytics Platform Services
Alex Bentley – Portfolio Product Management, IBM Analytics Platform Services
Bill O’Connell – Distinguished Engineer & CTO, Data Warehousing & Big Data, IBM Analytics
For more than a century IBM has been dedicated to every client’s success and to creating innovations that matter for the world. IBM Analytics helps organizations make better decisions by gleaning new insights from the volume and variety of all the data available to them.
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