Data Governance

Your Guide Through the Sea of Business Data

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Your company needs to collect direct and indirect information related to commercial, environmental, social, and good governance performance. Data Governance enables companies to assess the achievement of business and sustainability goals, direct funding toward targeted projects, and maximize the output generated from every initiative.

Data Governance includes:

Process Design
Design and execution of processes and policies that ensure proper and compliant data handling.
Data Ownership
Identification and assignment of responsibility roles in data management.
Infrastructure and Technologies
Implementation of the necessary infrastructures and technologies to store and protect data.

Thanks to our experience in large-scale, multi-industry projects, we support your Data Governance initiatives with deep expertise in business processes, regulatory frameworks, and leading market technologies for end-to-end data governance.

We apply a methodological approach that allows us to swiftly launch your long-term Data Governance strategy and deliver tangible results from the outset.

The Results of Data Governance

Accurate and Error-Free Information
Through data monitoring and cleansing, we automatically identify corrupt, incorrect, or inaccurate entries, flagging them and, where possible, correcting them through appropriate Data Remediation processes. This ensures reliable, certified data over time.
Secure Data and Full Regulatory Compliance
Cyber threats continue to rise every year. GDPR imposes multi-million-euro fines for unintentional data breaches, underlining the importance of Data Governance policies to protect the privacy and security of your users' data.
A Valuable Source of Information
A complete, up-to-date database is essential for effective data analysis. With high-quality data management, your business decisions will be supported by reliable insights, fostering a virtuous cycle driven by Data Governance.

Success Stories

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Data Governance for Insurance

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Solution: We initiated a rationalization process of all historical information, identifying data lineage and their respective stakeholders.

Results: Thanks to transparent attribution of ownership, data is now consistently traceable, up-to-date, and interoperable.