Data Governance

If you don’t manage your data, your data will manage you

To us, Data Governance is the planning, overview and control of the management and use of company data. It is a long-term, iterative process – the intersection of corporate strategy and its connection to data – which requires support from top management.

Trusted by

Komerční banka
ČEZ, a.s.
Customs Administration of the Czech Republic
Police of the Czech Republic

We ensure a broad perspective and comprehensive care


We combine the fields of Data Governance and Data Quality to make a whole


We facilitate the quick implementation of best practices, concepts and supporting tools


We regularly review the state of your Data Governance to find ways to improve

Do you not trust the numbers in your reporting because you don’t know which data are being used or where they’re coming from? Do your sales, marketing and finance departments understand the product differently? Do you have difficulty unequivocally identifying your customers?  Do you not have unified codebooks or know who’s responsible for setting them up and keeping them up to date? Do you have so much data, in so many different places, that you don’t even know what exactly you have and where? Do you know your data’s potential, but feel like you don’t know how to use it in your company?

It's time to implement Data Governance

Data Governance is a set of principles, policies and processes put in place by organizations to guarantee data availability, quality and security for their consumers within that organization. The fact that you collect data does not necessarily mean that those data are usable and accessible. In addition, data environments within organizations are very often complex, so it can be difficult and time-consuming to understand the state of the data and continue to work with them effectively without the right processes, automated control mechanisms and specialized tools.

Start managing your data, so your data don’t manage you

If you don’t do this, you could end up in a situation where you won’t be driving your data, but your data will be driving you and your company. And if those data are poor quality, then your business will easily become subject to risk factors.


of companies have no formal Data Governance policies


of them are not thinking about addressing Data Governance in the next few years

We already have several successful Data Governance projects under our belts

We can help develop methodology, set up processes, manage risk, and design and implement custom Data Governance tools, all with a high level of automation. We will guide you through the whole process, suggest the most appropriate practices, and help you project the new approach into the organization’s existing processes. 

Let’s start with a Data Governance Assessment

Using the 4P strategy combined with DAMA DMBOK methodologies, we will prepare an AS-IS assessment, based on which we will then set up the TO-BE processes. The result is a roadmap for implementing and optimizing Data Governance for each specific customer. We often also take this approach for customers who have already implemented some form of Data Governance and are using some of the Data Governance software tools, but whose approach is still not working. The cause is not the tool itself, but the processes, people and practices.

We address data quality

We also focus on data quality – codebooks, rules for automated data cleansing, master and reference data, data catalogs, metadata, and much more. If only because we were present when data and data warehouses were born, we still consider data storage, processing, analysis, reporting, and how best to utilize them key to growing our customers’ businesses.

Data quality

  • Data profiling
  • Data cleansing and transformation
  • Automated data quality rules
  • Data quality measuring and monitoring

Master Data Management (MDM)

  • Master and Reference Data Management
  • Codebooks
  • Data catalogs


  • Defining business terms and the relationships between them
  • Data owners and data stewards
  • Data policies

Your data will lie fallow if it isn’t clear who within the company is consuming them or who is responsible for their quality and management


  • Together, we will set up responsibility for data management, accountability across the organization, access for authorized consumers, and, ultimately, auditability for the entire Data Governance process.

  • We will gain an accurate overview of who really needs high-quality data and therefore has the greatest interest in improving them.

  • New roles will be created during the analysis phase, for example, a data steward, who will enforce Data Governance principles and processes.

  • The final key factor in setting up a successful and long-term process is management support. Alongside the platform, users and IT staff cannot perform this function alone.

We are masters of many Data Governance software tools

Typically, we design and deliver solutions based on the proven technologies developed by Ataccama, a Czech company that has maintained a high rating in Gartner’s Magic Quadrants for several years (in MDM and Data Quality).

Data Quality Fabric by Ataccama

When we are implementing Data Governance, we strive to eliminate unnecessary bureaucracy and instead make it possible for the defined and collected metadata to be both practical and functional. To do so, we use the tried-and-tested Ataccama ONE platform, whose holistic strategy is regularly recognized by Gartner in their Magic Quadrants in the areas of Data Quality and Master Data Management.

The comprehensive, open approach to data taken by the Ataccama ONE platform goes hand in hand with newly identified trends. The platform can thus be considered representative of an innovative method of data management – the so-called Data Quality Fabric.

According to the latest “Gartner Top 10 Data and Analytics Trends for 2021”, Data Quality Fabric

Lowers the time required for data integration

by 30%

Expedites deployment

by 30%

Reduces maintenance

by 70%

Data Quality Fabric projects use or reuse existing data integrations and combine various styles of data integration. In addition, they can leverage the capabilities, proficiencies and technologies of contemporary data centers, Data Lakes and data warehouses, while simultaneously introducing new approaches and tools.

Interested? Book a free consultation now.

Thank you

We will contact you as soon as possible.

Růžena Barešová

Business Development Manager

Martin Bém

Consultant & DW Architect

Michal Bodnar

Engagement Manager