Some people pursue data governance. They work to ensure data quality by identifying data owners, stewards, and stakeholders; by cataloging models, schemas, and other metadata; by documenting requirements; by tracking the lineage and provenance of data, systems, and services; and on and on.

Other people pursue operational data processes. They integrate data into a new data warehouse; they spin up data services in support of new mobile or B2C applications; they bring new customer and product data onboard; they deliver data feeds and data marts to business analysts; and on and on.

The former faces the challenge of gathering governance information and establishing policies and procedures to keep the governance up-to-date and ensure that data standards are followed throughout the organization.

The latter faces the challenge of meeting deadlines and cost targets, satisfying business requirements, and delivering high-quality results to their customers.

We're here to tell you that you can have the best of both worlds. You can achieve high-quality governance that directly drives efficient operational processes AND you can derive up-to-date metadata as a by-product of your data integration or data services projects.

Simply put, you can have your cake and eat it too.