Indiana University Improves Strategic Decision Making Across the Organization Using Data Virtualization
As with most educational institutions, Indiana University (IU) has had a long history in business reporting and business intelligence, dating back to the days of the mainframe. Recently, the university began a new, multi-year project called the Decision Support Initiative (DSI), dedicated to helping IU improve decision making through enhanced data, models, and processes. DSI aims to improve access to data and analytic technologies, thereby providing transparency across the IU system, leading to better-informed decision outcomes.
To empower decision makers and enhance decision making at all levels within IU, the university needed to drastically increase the availability of timely, relevant, and accurate information. Historically, data and its corresponding business logic were stored across multiple, siloed systems, making it extremely time consuming to gather and combine the relevant information decision makers needed. Harnessing the power of data virtualization, IU chose the Denodo Platform to create a logical data warehouse (LDW).
Paul Moxon, VP of Data Architectures and Chief Evangelist, Denodo
Paul Moxon is Denodo’s VP of Data Architecture and Chief Evangelist and he works closely with Denodo’s customers to understand their use of Data Virtualization and recommending usage patterns, deployment architectures, and best practices for using the Denodo Platform. Paul has over 30 years of experience in the software industry, starting as a developer building real-time control systems for oil and gas pipelines in the UK and the Netherlands before working as a consultant on large integration projects with the likes of AT&T Wireless, Bechtel Corporation, Saudi Aramco, and Reuters. He has also worked for leading software companies such as BEA Systems, Progress Corporation, and IONA Technologies. Paul is an avid Boston Red Sox fan and suffers the pains and challenges of being a Red Sox fan living in New York.