Data management process maturity: Ataccama best practices guide

From ad-hoc fixes to systematic excellence. Chart your organization’s path to data management maturity.

Every data management function runs the same core procedures such as raising a data quality issue, requesting access, connecting a source, or defining a business term. What separates a Level 1 organization from a Level 4 one isn’t which procedures exist, but how sophisticated they are, i.e. how many stages, whether risk is scored objectively, whether SLAs are met, and whether severe issues get a systematic response instead of informal attention.

This guide documents twelve of those procedures in both basic and mature form, and shows how to close the gap between them.

What you will find inside

• Ataccama’s four-level maturity model and how to place your own organization within it.
• Twelve core data management procedures, each shown in their basic as well as mature version.
• The seven dimensions along which any procedure matures, so you can benchmark rigor, evidence depth, breadth of coverage, and cadence objectively.
• How to structure severity models, tiered SLAs, and budget gates that replace email threads and spreadsheet tracking with repeatable processes.
• A shared framework for measuring the payoff — the metrics that prove process maturity is actually improving outcomes, not just adding governance overhead.

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