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The 5 Key Factors of Highly Successful PIM Deployments

whitepaper-cover-5-Factors-Successful-PIM-DeploymentOnline marketplaces, social media, mobile technologies and new shopper journeys have transformed the way that buyers make purchase decisions for products. In a digital world, it’s vital that companies provide innovative, synergistic ways for customers to experience products across touch points.  Seismic shifts in customer engagement have escalated the importance of rich product information to attract and retain customers, facilitate product assortment growth, achieve differentiation and consistency across channels, and optimize the supply chain. As a result, the demand for multi-domain Master Data Management (MDM) and Product Information Management (PIM) solutions is on the rise.

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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.