It's Time to Start Thinking of Your Data as a Product

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It’s time to start thinking about your Data as a Product.

The data being created in your organization is only growing, along with the tools that both manage and create more data. It’s an alphabet soup of data sources – CRMs, ERPs, POSs, HRMSs, LMSs, R&D, FP&A – and inside each acronym lies a treasure trove of information on your operations, your customers, your sales and marketing, and your human resources.

By thinking about your Data as a Product, organizations make the shift from considering data as a tool or a byproduct to treating it as a valuable strategic asset.

This Guide outlines the essential steps of adopting a Data as a Product, including tools that can help you create a scalable framework for using your data as strategic asset.

 

Data as a Product Front Page

In This Guide

Create a Data Product Roadmap

Understand how to define a Data Product in your organization, and work backwards to lay the foundation for production. This chapter goes over data classification, data definition and usage requirements, and design of your data product.

Assemble and Distribute Your Data Product

Learn how to productionalize data management to support a Data as a Product mindset. This chapter outlines how to make data trusted, accessible and secure at scale, and how to build collaboration and feedback into your data product lifecycle.

Maintain and Retire

Examine tools that can help maintain relevant data products that are phased out systematically, with adequate notifications to users and stakeholders.

Assembling a Data as a Product Toolkit

This guide outlines a modern, cloud-native tech stack that can simplify and automate your process your Data as a Product approach. These tools create replicable, scalable systems with best-practice data management.

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