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First Party Data: The New Imperative

Whitepaper-Cover-First-Party-DataThe need for accurate data to support digital transformation and the emergence of new restrictions on the use of third-party data have prompted many companies to focus their attention on first party data.

In this white paper we provide a detailed explanation of each category of data, along with their advantages and disadvantages. Then we describe how to develop a customer data model that matches the customer’s way of thinking and the role of technology in orchestrating this experience.

Download this white paper to learn more about how we apply the science of organizing information to create more engaging digital experiences.

Download Now

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.