Making governance easier: how to simplify your data governance strategy

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In a completely digitalized world, in which data has become the most valuable asset for the growth and survival of organizations, deploying a responsible and efficient data governance strategy is not an option, but an obligation.

Many companies struggle to ensure the availability, usability, integrity and security of the data they use.

In this article, we explore the factors that ensure data governance and explain the steps companies should take to simplify data governance processes .

Data governance, a crucial and complex strategy
Data governance refers to the overall armenia phone number lead management of an organization's records, both in terms of availability, integrity, usability and security. A solid data governance strategy ensures that data is reliable and consistent.

In this sense, ensuring adequate data governance is key because:

Allows you to make informed decisions
Contributes to supporting the organization's overall data strategy
Foster a data-driven culture by promoting data literacy and accountability at all levels
Mitigate the risks associated with incomplete, inconsistent or incorrect data by improving data quality
Helps establish a clear framework for the use of data, encouraging the responsible and appropriate use of sensitive information
Ensure compliance and reduce the likelihood of leaks
Protect corporate reputation with customers, partners and collaborators
Mitigate the risk of potential legal and/or financial problems
Without an adequate data governance framework, companies are exposed to problems related to compliance, data quality and decision-making.

However, there are several factors that make ensuring data governance a difficult task. On the one hand, the exponential increase in the volume and variety of records makes the governance strategy more complex.

The issue becomes even more difficult when we consider the rapid pace of technological advances. These advances introduce new data sources and processing methods, requiring constant updates to data governance policies.

The need to adopt and coordinate multiple, ever-evolving regulatory frameworks, organizational silos and lack of communication across sectors are causing governance practices to become fragmented, exacerbating the situation.

7 steps to simplify data governance
To fully harness the potential of data while mitigating the risks posed by inadequate records management, organizations need to deploy a robust and efficient data governance strategy. But how can you reduce the complexity of data governance?

Simplify policies
When internal rules and regulations are confusing or full of technical jargon, employees may have difficulty understanding them and, therefore, complying with them.

It is therefore essential to simplify policies using clear language and concrete examples to improve their understanding and compliance.

Additionally, standardizing policies across the company, ensuring they align with industry best practices and regulations, provides a cohesive framework for governance.

Identify stakeholders
All stakeholders must be aligned with the data governance strategy. This requires building a collaborative approach that involves stakeholders from various departments and levels of the organization, including executives, department heads, data stewards, and IT professionals.

By involving everyone, you not only improve the efficiency of data governance, but you also build a culture of data ownership and responsibility throughout the organization.