Data Governance Standards: 4 Intelligent Differentiators

Integrated capabilities that separate intelligent data governance from traditional tools

Modern data governance isn’t just about documentation and compliance; it delivers measurable value for the entire organization.

New data types and sources are contributing huge amounts of information that need to be assessed, curated, and protected so that anyone—business or IT—or any system can use it. The answer is an intelligent data governance solution—one that is automated with AI and machine learning, scales to handle even the largest data lake, and is intelligent in more than name only.



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What is an intelligent data governance solution?

An intelligent data governance solution offers the full extensibility of an intelligent data platform, allowing you to start small and add capabilities over time as your needs change—without massive and costly custom integration efforts. An Intelligent data governance solution includes not just robust data governance but data quality, data privacy, data cataloging, and stewardship capabilities. It also includes automation capabilities that reduce the number of review and management tasks assigned to data stewards.

Which standards set an intelligent data governance solution apart from a traditional governance tool? Look for four main differentiators: automation, scale, extensibility, and agility. Considering these capabilities when you’re comparing data governance options can save you significant time and money.


Intelligent data governance standards: Four must-have capabilities


You’ve seen the market numbers increase: 250 million to 1 billion to petabytes of data in our data universe. Your slice of that gargantuan data pie is growing, too—and it all needs to be stored somewhere, whether in a traditional data warehouse or modern data lake. You’re also getting more requests for access to that data from analysts and data scientists as well as non-technical users in marketing, finance, and other lines of business. An intelligent data governance solution can scale on both fronts: govern more data from more sources, and manage access for more—and more varied—types of users.

“Our program has grown to the point where we needed a solution that could scale to over 50 million objects. Informatica was the only solution that could keep up with our pace.”

- Large Financial Services Firm


With so much information coming into your organization and so many demands for trusted data, your data stewards need help. Governance tools that apply the latest advancements in AI and machine learning (ML) can automate many lower-level, previously manual tasks. That leaves your data stewards more time to apply their expertise to the most mission-critical processes. Your governance solution should be built on a foundation of modern AI so you can keep up with the pace of enterprise governance needs today and in the future.

“With the automation capabilities of Informatica’s Governance solution, we now have ‘on-the-fly’ multi-dimensional data quality rules and metrics that take mere minutes for each data attribute, whereas it took many hours prior to automation.”

- Gary Georges, Data Governance Program Manager

L.A. Care Health Plan


No two enterprise data governance programs are exactly alike; however, they do share are many common functions and processes. Traditional data governance tools may offer amazing functionality with the promise of being built to your specific needs, but the customization burden can paralyze your program’s progress. Intelligent data governance solutions leverage the agility benefits of a common model by working smarter, not harder: your governance team can hit the ground running while you tailor individual components over time.


“Our team customized a tool to the point that it only worked for one team, so everyone else abandoned it. With Informatica, we found a scalable, intelligent, and agile solution that worked for our entire enterprise.”

- Large Pharmaceutical Organization


To deliver real business value, an enterprise data governance program must contribute more than just governance project management and manual documentation. Data quality, data privacy, lineage, managing master data—all of these are critical aspects of modern data governance. Traditional data governance tools that focus on documentation cannot solve for the needs of the entire governance program. With an intelligent solution, you can extend your platform easily with modular capabilities and reap the benefits of a unified solution: no need to evaluate and select multiple vendors or spend valuable time and budget waiting for custom integration work.

“When we saw how the Informatica tools integrated, selecting Informatica for our governance solution was a no-brainer.”

- Blake Andrews, Corporate Vice President of Data Governance Capabilities and Delivery

New York Life Insurance

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