Benefits of Data Governance
Data governance delivers a wide range of benefits for the enterprise. These include:
A violation of the quality, security, privacy, integrity, availability and reliability of business data carries significant risks. First, the very operations of the organization are in jeopardy if the information that decisions are founded on is not of the required standard. Second, there’s the threat of regulatory action if the business is found to have violated a key law such as GDPR and HIPAA. Third, the company’s reputation may be shattered as customers and employees start to distrust the data. Data governance lowers risk by systematically addressing the key risks that could endanger the business in the aftermath of poor data handling.
Single Enterprise-Wide Understanding of Data
The average organization today captures, stores and manipulates a vast and complex quantity of data. This data is captured through tens, hundreds or thousands of interfaces spread across multiple business units. It’s relatively easy for each business unit to be sucked into a silo and develop its own definition, understanding and classification of the data it uses. This only leads to conflict during data handoffs or inconsistent application of data handling policies.
Data governance harmonizes the understanding of data by developing common terminology that’s applied uniformly across the organization (even though business units may be given some leeway if that is what is needed for them to successfully discharge their responsibilities).
Improved Data Quality
Data drives enterprise decision-making. Poor quality data inevitably leads to poor decisions. For example, think about a business whose primary target is Baby Boomers and is looking at launching a presence in a city it’s not been to before. Some of the data it needs to know that it’s making the right decision is the population of Boomers in the said city. If the data it relies on is incorrect or outdated, then every decision made using it will be inherently flawed.
Data governance creates a working environment that ensures data consistency, completeness and accuracy.
There are so many interfaces through which data is created or received in an organization that over time it can become difficult to have a clear picture of just what information is in the company’s custody.
Information governance gives businesses the ability to map the location of all data. This makes data assets retrievable, usable, easy to integrate and easier to connect to strategic outcomes.
Data governance improves the customer experience, reduces operational costs, increases revenue and enhances efficiency. But for many organizations, the information governance initiative is primarily driven by the need for regulatory compliance. The actual data handling regulations a business is subjected to will vary depending on industry and jurisdiction.
The regulations and standards may include HIPAA, GDPR, SOX and PCI DSS. The penalties for non-compliance can be severe. In cases of repeated violation, non-compliance may even lead to the revocation of a business license.
Improved Data Management
The terms data governance and data management are often used interchangeably but data management is in fact a subset of data governance. A good information governance framework brings the human touch to a technology-driven and highly automated world.
It establishes best practices and codes of conduct in data management that transcend the traditional excessive focus on system controls. It ensures that the compliance, security and legal areas of data management are applied consistently and comprehensively.
Better and Quicker Insights
A data governance implementation exercise helps streamline and organize enterprise information. Such organization not only improves the quality of the data itself, but it also leads to better and quicker insights.
Oftentimes, the distributed, irregular, inconsistent and varied nature of business data can make it hard to extract conclusive insights. It’s not unusual for the process of generating a business report to take hours or even days simply because of the formatting and harmonization that must be done before the data can be gainfully utilized.
Information governance forces data consolidation and integration in a way that speeds up the extraction of insights.
A business could have great employees. But having great employees doesn’t necessarily translate into effective departments. And individually effective departments won’t always translate into an effective organization. The better the collaboration between departments, the better the quality of the organization’s overall work output.
Implementing a data governance initiative means breaking down walls between departments and encouraging a coordinated approach toward data handling. Even when the process of rolling out the data governance framework is complete, the established channels of collaboration as well as the camaraderie between departments is likely to linger long after.
In addition, the high data quality and the consistent handling of data across the business will eliminate many of the previously existing points of friction.
Increased Data Value
It’s only over the last decade or so that businesses have started to appreciate the place of data as a business asset in the same breath as buildings, automobiles, cash and employees. Nevertheless, the value of business data is in its ability to efficiently propel the enterprise toward its strategic goals.
A data governance framework improves the quality of data and thereby makes it more of an asset for the corporation.
Poorly governed and managed data increases business costs in multiple ways. Ill-advised strategy, inter-departmental conflicts, flawed models, misinformed product development, and poor planning are examples of the different ways poor quality data can trigger decisions that end up costing a company dearly.
Information governance improves the quality of business data and thereby eliminates the unnecessary expenses that would otherwise be incurred by the enterprise.