How has MDM advanced over the last 10 years? Today users demand access to big data and data-driven applications to get the complete picture and they want faster time-to-value. We examine how technology has evolved to support agile business needs and ask if MDM itself has turned into the very silo it was designed to circumvent. Please join us at our tutorial
Wednesday, July 22, 2015 12:45 p.m. - 2:15 p.m
Ramon Chen, VP Marketing, Reltio
We are in the era of Big Data wherein technologies can now support a wide variety of data at seemingly infinite data volumes at real-time velocity. Yet MDM tools and technologies remain relatively unchanged in the 10 years since companies began deploying such solutions. Some might say that MDM itself has turned into the very silo it was designed to circumvent. Granted, certain solution providers now offer MDM in the cloud to enable smaller companies to benefit from MDM at a much lower ongoing cost, but for most enterprises that isn’t enough to meet increasing business demands.
Today’s end-users want access to a complete view – not just of customers or products – but rather a blended view of all master data entities plus transaction, interaction and social data. And they want their information delivered in the form of LinkedIn/Facebook style data-driven applications. They also want faster time-to-value and expect a new breed of enterprise data-driven applications that include reliable data, relevant insights and recommended actions.
In this tutorial, one of the pioneers in the next-generation of MDM solutions will share best practices, case studies and technology considerations by discussing these topics and more:
- Leveraging enterprise multi-channel data to enable ‘inside-out’ client view via MDM
- Understanding the business value of Big Data, NoSQL vs. RDBMS vs. Data Warehouse, Hadoop (HDFS & MapReduce)
- Establishing the business case for MDM & real-time data-driven applications (a case study)