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The Four Stages of Agile Data Organization

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After working with thousands of companies, we recognized four distinct stages of agile data organization (Figure I.2). Each of these stages has best practices and guidance on how to progress further “up the stack.”


Figure I.2 The four stages of agile data organization represent a process that describes the lifecycle of data management.

This book maps onto these stages:

1 Source

2 Lake

3 Warehouse

4 Mart

Each vertical stage pictured could be what a company needs, depending on the resources, size, importance, and needs of data within an organization. Not every company needs all four stages. If a business gets the insights they need while in the source stage, then they should stay in the source stage. Likewise, a company may find it needs a lake to combine all of its data together but may not need the transformations implied in later stages of warehouse development.

Let's begin with an overview of each step.

The Informed Company

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