An evolving discipline

Data governance

DATA GOVERNANCE

Definition

In the race for digital transformation that we have seen in recent years, enterprises are looking to become “data-driven”. The influx of information and the massive amount of stored data are leading companies to initiate data governance and to consider it a strategic area of focus.

We like to define data governance as an exercise of authority with decision-making powers (planning, surveillance, and rule enforcement) as well as having control over data management. Its main objective is to transform data assets into a set of shared and shareable assets in the enterprise.

5 ATTRIBUTES

Towards a new data governance

In the past, implementing data governance within organizations has rarely been successful. Zeenea’s aim is to pragmatically shed some light on data governance attributes that are capable of taking on this new era’s challenges, and this, with the help of our data catalog.

We want it to be bottom-up, non-invasive, automated, collaborative, and iterative data governance. In one word, agile.

bottom up data governance
BOTTOM UP

“Data governance must be as close as possible to your enterprise’s operational reality.”

A bottom-up data governance strategy encourages putting individuals and their interactions in front of processes and tools. A data governance approach can only be successful by involving all the employees of an organization, thus benefiting from collective intelligence.

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non intrusive data governance
NON INTRUSIVE

“Data governance must adapt to your enterprise’s context and not the other way around.”

Data governance must not be an obstacle to innovation in your enterprise. It is a matter of giving your collaborators freedom to use the tools, among others, adapted to their usage.

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automated data governance
AUTOMATED

“Data governance must accurately reflect your data assets.”

Automating metadata collection on your data assets allows your tools to accurately reflect reality. On the other hand, this automation ensures that such governance is kept up to date and it can be scaled up.

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collaborative data governance
COLLABORATIVE

“Data governance must involve and federate all employees of an enterprise.”

The practice of having one person or group arbitrate data governance has fallen into disuse. We believe that the sustainability of data governance is by creating communities around various data-related domains within your organization.

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iterative data governance
ITERATIVE

“Data governance must deal with changes quickly.”

To best match the company’s expectations and its operations, data governance must be built step-by-step. Adapting to change must be at the heart of the company’s data governance strategy.

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ZEENEA

Our offer

Our data catalog consolidates the knowledge, the rules and the different interlocutors involved in the company’s data. It becomes the central platform for managing metadata, a unique and universal reference for all employees.

Designed with a modular and non-intrusive approach, Zeenea helps data management orchestrators (chief data officers, data stewards) to achieve a data-driven organization by making data cataloged in Zeenea understandable and accessible.

WHITE PAPERS & TRAINING

Our data governance convictions

.White paper.

Why start
an agile data governance ?

.White paper.

How does data democracy
strengthen agile data governance ?

.Training course.

Discover the program
of our data governance training course