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Data Governance

Chaotic data management can lead to poor business decisions and financial losses. Build a robust Data Governance system to maximize the value of your data and drive well-informed decision-making.

How Data Governance helps businesses

Process optimisation

Standardisation of data processing increases the efficiency of operations and reduces the time required for data analysis.

Improved interaction between teams

Establishing common rules and standards makes it easier to collaborate across departments.

Supporting business scalability

The data management system allows you to easily adapt to the growth of data volumes as your business expands.

Increase confidence in data

Creates an environment where users can confidently use data for strategic planning and decision-making.

Increased transparency

Provides a clear understanding of who is responsible for the data, how it is used and where it is stored.

Ensuring compliance with regulatory requirements

Data Governance ensures compliance with local and international standards, such as GDPR or ISO.

Покращення якості даних

Забезпечує точність, повноту та узгодженість даних, що дозволяє приймати обґрунтовані бізнес-рішення.

Зменшення ризиків

Управління даними допомагає знизити ризики, пов'язані з порушенням конфіденційності, безпеки та відповідності нормативним вимогам.

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Our Expertise

01

Data and process audit

We analyse data and analytical processes to assess the effectiveness of their use and monetisation in business.

02

Data evaluation

We assess the maturity level of data management according to the Maturity model, checking the alignment of analytical processes with business needs.

04

Business glossary

We are developing a unified business glossary for standardised terminology in data processing.

03

Data management strategy

We create a data management strategy that meets business goals and implement technical solutions, processes and a data management culture in the company.

05

Data management services

We integrate data management systems, set up automated data collection, classification and updating.

06

Data Catalog and Data Lineage

We set up tools for Data Catalog and Data Lineage, ensuring transparency of data search and control.

07

Data Security Assessment

We assess data security, identify vulnerabilities and provide recommendations for improving protection in accordance with regulatory requirements.

08

Consulting on monetisation

We provide recommendations for monetising data, optimising costs, improving process efficiency and integrating new data management systems.

Why Choose Us

A comprehensive approach to Data Governance 

We develop comprehensive Data Governance strategies, including the implementation and configuration of processes, technologies and roles for effective data management and the transition of your company to a data-driven approach.

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Experience in creating Data Governance in a large corporation 

We have relevant experience in building and implementing a comprehensive data management strategy for a large corporation.

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Expertise in selecting and implementing tools at the client's request 

We use solutions from leading vendors such as SAP, Microsoft, and AWS and are committed to Data Management Book of Knowledge (DMBOK) standards, which guarantee efficiency and achievement of the expected result.

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Our Process

01

Data audit

We carry out a comprehensive assessment of data quality, structure, relevance and integrity, data management processes and standards, implemented solutions and systems.

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02

Implementation and configuration of solutions

We deploy selected solutions and systems for data management, Data Catalogue, Data Lineage, and set up automatic source scanning, classification, and quality monitoring.

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03

Business needs analysis

Our team analyzes your business needs, tasks, and goals in detail. We conduct a preliminary analysis of current data management systems and processes.

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04

Team training

We provide support and training for your team to ensure the effective use of new systems and implemented processes, promoting the data culture at all corporate levels.

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05

Development of a Data Governance strategy

We create an individual data management strategy that includes processes, technologies, roles, security policies, and compliance with regulatory requirements. We develop an implementation plan with a timeline and TCO.

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Cases

Data Management

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IoT

The Internet of Things in Energy

IT company MODUS X has introduced an industrial IoT platform for businesses of the DTEK Group. This complex orchestra of servers and cloud computing services reliably integrates and processes data from power plants

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FAQ

What is Data Governance?

Data Governance is a system that includes processes, policies and standards for data management within a company. Thanks to a well-established Data Governance system, a company understands what data it operates with, its quality, and where it is stored.

How does Data Governance help improve the quality of data in my company?

Data Governance helps to eliminate duplication, inconsistencies and errors in the data that a company manages. As a result, experts from different departments and top management receive accurate and reliable data to make tactical and strategic decisions.

How does Data Governance improve data security?

Data Governance implements security policies for the storage, processing and use of data, and establishes clear rules for access to information. This helps to minimise the risks of data leakage, unauthorised access and data loss due to cyber attacks.

Which companies need to implement Data Governance?

If your company processes large volumes of data, handles sensitive customer information, or operates in highly regulated industries such as the financial sector or healthcare, Data Governance will help you optimise your data management.

Take your business decisions to the next level! Plan your Data Governance implementation now and get the most out of your data Get a consultation from our expert

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