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Our clients
Set up Data Governance with experts
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Why Data GovernanceInaccurate or outdated data can skew your reports and analysis. Properly configured Data Governance ensures that you always have 100% reliable and quality data for strategic management of the company as well as operations. Clearly configured processes and rules for data standardisation mean you will save time you would otherwise spend on searches and edits. Thanks to Data Governance, you will also have the assurance that you comply with all regulations, including GDPR, while reducing the risk of data breaches and security incidents. |
As part of Data Governance, we can set upRules and policies for working with data - We determine who is responsible for the data, what security measures should be applied, and which data are important to keep. This ensures security and compliance with regulations. Processes - We will describe how and when data are collected, stored, analysed and deleted. Clearly defined processes minimise errors and improve security. Technologies - We will select the appropriate technologies for data collection, storage and security, making the entire data governance process more efficient. |
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What we can help you withMaster data - basic data about customers and suppliers are usually not unified in systems. Master Data Management changes all that. Dictionaries – We will make it easier for you to manage and automate the sharing and unification of dictionaries with tools for Reference Data Management. Data quality - We will ensure that your data are always complete and of high quality with our Data Quality tools. Methodology - We will implement Data Management Methodology in line with international standards and procedures. |
We are PRINCIPAL.
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575experts on projects
150+clients
36 mil. €turnover in the last year |
Case Studies
Get tips and inspiration to accelerate your digital transformation
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Modernization of the gambling reporting system at the Ministry of Finance of the Czech Republic
The Ministry of Finance of the Czech Republic (MFCR) encountered several technical and procedural limitations in the management and processing of data in the AISG AM system (AISG Analytical Module) for reporting in the gambling industry.
How the cooperation works
1st stepNeeds assessmentWe will find out how you are currently working with data and what you need to improve from a management perspective. |
2nd stepAudit and recommendationsWe will prepare an audit of the current situation and develop recommendations on how to improve Data Governance. |
3rd stepData management settingsWe will set up processes and technologies for data management and introduce changes to your team. |
4th stepSupport and developmentWe will take care of the follow-up processes, such as Business Glossary and support for your teams. |
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 Milan Bartoš Delivery Manager |
