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Launching a Master Data Management Program: Eight Key Steps in the Journey

8-steps-MDM-program-coverTo maximize your customer's experience, a 360-degree view must be compiled from customer data that touches every part of your organization.  This can only be achieved when data silos are integrated, duplicate data is reconciled, bad data is eliminated and data governance is established. This is accomplished with a Master Data Management (MDM) solution that maps customer data to a single version of the truth and ensures data quality and validity are maintained as your business expands and evolves. How do you get started?  In this white paper we walk through the eight steps of the journey.

 

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Earley Information Science Team
Earley Information Science Team
We're passionate about enterprise data and love discussing industry knowledge, best practices, and insights. We look forward to hearing from you! Comment below to join the conversation.

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Recently I chaired the Artificial Intelligence Accelerator Institute Conference in San Jose – in the heart of Silicon Valley.  The event has brought together industry innovators from both large and small organizations, providing a wide range of perspectives. For example, the CEO of AI and ML testing startup of Kolena, Mohamed Elgendy and Srujana Kaddevarmuth, Senior Director, Data & ML Engineering, Customer Products, Walmart Global Tech discussed productization of AI solutions and ways to increase adoption. I especially liked the idea of a model catalogue from which data scientists can retrieve data sets and machine learning models that others have built rather than starting from scratch.