Tuesday, March 31, 2015
02:15 PM - 02:45 PM
The issues surrounding management of relational data are well identified, if not completely understood, but have you considered the other 80% of data that exists in your enterprise?
What about unstructured and machine-generated information?
How can these be leveraged to provide additional insights into often intractable business problems?
One complication for data management professionals is that non-relational sources can be as clear as mud.
This session investigates the application of master data and related metadata to find additional relevance and context provided by unstructured and machine-generated information for targeted analysis or process improvements.
We will examine how these three types of data can be combined to derive business insights beyond those available when you limit your scope to relational data. We will then demonstrate how these insights can be visualized for additional clarity, so you can strike it rich with information gold.
Glen has more than 25 years of experience as an information management technology professional, helping clients solve business problems at both enterprise and departmental levels. Glen has extensive experience with project and account management, requirements analysis, business process analysis, and systems architecture design and re-engineering. He is skilled at working with application integration and interface specification while achieving cost reduction and operational optimization. Glen’s industry background includes the petrochemical, transportation, utility, e-commerce, and government fields. Glen is an active community volunteer, serving on the advisory boards of several non-profit organizations. He holds a Bachelor of Science degree in Computer Science from the University of Houston.
Mike Grosvenor is a Technology Manager with Access Sciences in Houston, Texas. He has been working in data management and analysis for 20 years, with experience in a range of industries, including financial services, healthcare and government. Mike has been a project manager and data modeler in support of Business Intelligence initiatives, focusing more recently on metadata governance. He earned a BS in Mathematical Sciences from Southern Methodist University.