Data Governance Strategy

Taking control of your data

Helping clients establish compliant, secure, and holistic data governance controls

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The far-reaching and endless benefits of database governance

Having a team in place to build out the program ensure proper data collection, holistic data sharing, and battle-hardened data security - all critical to overall data compliance and data protection.


If multiple departments across a business are collecting data via separate silos, their goal should be to have tools and measurement processes in place to ensure consistent data. Consistent data between different business segments reduces waste and creates an implicit check to the single source of truth.


A Data Governance Strategy is necessary for security - capturing and establishing physical and technological entry points for accessing data. Encrypting customer data is paramount when using data collection tools, and has never been more of an issue as it has in recent years.


Controls over access become increasingly complex across large organizations where acquisitions and subsidiary companies abound. These access control issues can disrupt and slow the organization's ability to deliver. As such, creating usable, workable access control processes is vital, and pays dividends when performed properly.

Data governance - get in front of your data

Enterprises begin to feel the pain their weak data governance strategy when data becomes mishandled, transformed incorrectly, or compromised—resulting in costly regulatory fines, and thrashed public reputation. But putting together a solid data governance team and strategy can recapture losses and reshape the data footprint in short order.

Data management

Having a dedicated team focused on a data collection strategy ensures a clear understanding of the who, what, where, and why of data. This focus produces data that is valuable. Proper data management determines how data sharing is overseen, delegated, utilized, and maximized.

Data usability

Businesses should always look for ways to leverage analytical data.  Data should be usable and produce results that are reliable and understandable. Compromised or improperly transformed data creates instances where analytics tools produce skewed outputs.

Data protection

Data privacy is a must. Data governance strategy must include compliance standards that comply with both national and international privacy laws. With so much personal data floating around it is critical there is a strategy in place to ensure consumer information is safe.

Methodical measurements

Businesses are increasingly focusing on data collection and management, but the methodical approach to measurements is also vital. As such, the governance strategy must include the rules, guidelines, and principles for the measurement of data. ETL, ELT, and data integration processes need to be tapped into, capturing key metrics on a holistic level.

Building the data governance capability

Companies rely on data to understand consumer habits and forecast business goals. Whether a across a single database or multiple databases, a successful governance strategy aligns with company goals and creates a database management system that functions, saves time, and produces quality, useable data.

“You can have all of the fancy tools, but if the data quality is not good, you're nowhere.”

Veda Bawo, Director of data governance, Raymond James

$5.8 Billion

According to data from Mordor Intelligence, Data Governance Market was valued at 1.81 billion US dollars in 2020 and is projected to be worth 5.28 billion by 2026.

Swetha Amaresan. “The Straightforward Guide to Data Governance (DG),” n.d.

"We can help you with data governance. Our clients include some of the largest financial processing organizations in the United States in their category, with some very specific data governance requirements."

Shawn Livermore
Senior Consultant, Product Perfect

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