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Data Standardization

The creation of uniform semantics, formats, and attributes for key data elements used within different applications and systems across the enterprise to support master data management initiatives.

Added Perspectives
Standardized Development. DWA tools provide an integrated development environment to build, design, and operate a data warehouse. As such, the tools impose a standard method and style of development that improves quality and consistency. Some DWA tools automatically convert field names to a standard naming convention. And using version control, development teams can easily implement build, test, and production environments.
- Wayne Eckerson in Which Data Warehouse Automation Tool is Right for You? November 12, 2015
(Report)
Enterprises standardize to improve the operational efficiency of data pipelines so they can deliver timely and well-structured data to BI analysts, business managers, and data scientists. Data teams identify modular tasks and processes that can be applied to many pipelines using GUI tools and templates. Standard data delivery increases the productivity of IT and business stakeholders throughout the enterprise. Well-run enterprises standardize some existing tasks over time to manage rising data supply and rising data demand at scale. Hybrid approaches help drive the evolution toward standardization for many data pipelines. Data teams develop and deploy custom code, then standardize the repeated, scalable, and tactical aspects later with GUI-based tools and templates.
(Whitepaper)
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