The growth in the volume of data handled by companies and the increasingly specific needs of companies are signaling the need to define a Data governance or data governance. But, like any technological solution, must have sufficient plasticity in its implementation to adapt to the needs of the company and, above all, to grow as the company progresses.
At this point we have learned and it is quite clear to us that data is a value that allows us to make better decisions and understand situations in the context, but the disorder that exists around its management complicates, in practice, to organizations and highlights the need to include a digitization plan.
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“Data governance adds value when knowledge of the physical system and data models is explicitly linked to the organization's business processes” Source: DELOITTE
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Two possible approaches
So the concept of governance data that, in practice, We could say that it has a lot to do with defining a management and direction model of the way in which companies obtain, manage and make data-driven decisions. To make it, it is interesting to start by choosing one of these two possible work approaches:
- The horizontal approach: It involves a centralized way of working, that unifies the common language for all the data that the company will handle. For it, a “business glossary” which lists all the words that represent the flow of information that the company needs, and the policies and processes related to the governance of this data are also defined to establish how the administrators and commercial users will be. able to interact. with the governance process.
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- A vertical approach: It is the modality that is divided into different projects to cover each specific business need. For instance, The COVID-19 crisis is one of them and health organizations use the set of data defined for this purpose to identify information or sources that they must follow to be aware of what is happening. A) Yes, terms related to each topic are defined to create a specific understanding and to be able to generate reports on it. A) Yes, internal teams involved in each issue can define policies, action plans, etc.
One step at a time
From data architecture to the development of the systems that we are going to use, throughout this initial decision-making process, attention must be on build applications and work processes that generate safe dynamics, agile and accessible.
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Reality teaches us that the most important thing to be able to really take control of our data is to select an enabling technology, simple and immediately usable to get started on meeting business needs.
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Later, as technology begins to add value to the business, demonstrable with clear and quantifiable facts, a new impetus to expand may be considered in accordance with the next goals of the company.
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Governance data; How to implement it effectively?
As work with quantified and qualified data and information progresses and thrives, use cases can be added, new content, diversification of structures and other complexities of operations within the organization. This advance will be possible and will be harmonious and even almost “natural” if from the first moment a data governance plan is defined that ensures the quality of the information and guides and leads each step, leaving nothing to chance.
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How should things work, what does each data mean, how real operations compare to ideal ones? All these questions are answered with good data governance |
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In summary, data governance is the only way to ensure that each step is meaningful to the organization and that they add immediate value. The key, as in so many other aspects of business planning, is the clear vision, patience and perseverance: whether each of the small objectives achieves measurable results that demonstrate the overall value of the plan, will be able to verify and demonstrate to the rest. of the team that the effort is worth it and that they are moving in the right direction.
Does your organization have a data governance plan?
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