Trends in Data Quality and Master Data Management

Presented by

Cory Minton, Jim Minton, Ramesh Dontha, William McKnight

About this talk

In the context of developing a successful enterprise big data strategy, data quality is extremely important. This is primarily due to the fact that high quality data, relevant to the use case at hand, will typically yield reliable and actionable insights about an organization's opportunities and challenges. Master data management (MDM), or the process of organizing data from disparate sources into a single reference point, is essential for a well-rounded data strategy that incorporates all of an organization's mission critical data. Join the conversation as this panel of industry experts discusses: - Why a disciplined approach to data quality and management is the key to accurate data insights - Best practices for creating a comprehensive MDM strategy - How to ensure data quality and accessibility for enterprise data initiatives - And more! Presented by: Moderator: Cory Minton, CEO & Founder, Big Data Beard Panelist: Jim Minton, MDM Consultant and Expert Panelist: Ramesh Dontha, Managing Partner, Digital Transformation Pro Panelist: William McKnight, President, McKnight Consulting

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