Consistent and reliable information with a data governance plan

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Learn more about how to achieve a Data Governance plan with enough flexibility to adapt to the company's needs.
The growth in the volume of data handled by companies and the increasingly specific needs of businesses, especially in terms of data quality and security, require a data governance plan. This technological solution must have sufficient flexibility in its implementation to adapt to the needs of the company and, above all, grow as the company progresses.

Data enables better decision-making and an understanding of the context, but disorganization around data management complicates things in practice for companies and highlights the need for a plan. What approaches exist and how can they be implemented?






According to a survey of data professionals, data quality (74%) employment database Analytics/BI (57%) are the top drivers of investment in data governance.

Source: Zaloni




Effective Data Governance: The Guide to Minimizing Errors and Achieving Data Governance Goals



Two possible approaches
Data governance is about defining a management and direction model for how companies make data-driven decisions. To achieve this, the first step is to choose one of these two possible working approaches:

The horizontal approach: This involves a centralized working method that unifies the common language for all the data handled by the company. A “business glossary” is defined with the words that represent the flow of information that the company needs, and the policies and processes related to the governance of that data are outlined to establish how administrators and business users will be able to interact.

A vertical approach: This is where a separate project is broken down to cover each specific business need. Terms related to each topic are defined to create a specific understanding and report on it. Internal teams involved in each topic can define policies and action plans.





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In addition to these two working methods that, broadly speaking, allow us to define a position on institutional data governance, three fundamental factors must be considered when putting together a governance plan: people (the human factor involved and the permissions, access and responsibilities that we design for them), technology (that best adapts to the environment and the needs of the business) and processes (that can streamline the search for information and make it available to the company in an agile and simple way).





The data governance market size is estimated at $2.73 billion in 2023, and is expected to reach $6.71 billion by 2028.

Source: Mordor Intelligence



One step at a time
From data architecture to system development, throughout this initial decision-making process, the focus must be on building applications and work processes that generate secure, agile and accessible dynamics.