All the potential of your data with effective Data Governance

Essential for maximizing the value of data and mitigating the risks associated with its use, helping to improve data-driven profitability and competitiveness.

Data Governance is a set of processes, policies, standards and technologies that are used for the correct data management strategy, ensuring that these are accurate, complete, consistent, reliable, and that they are used in accordance with the correct practices and regulations. , transforming your company into Data-Driven.

Be Data-DrivenImprove decision-making in your company and its different areas, in an informed manner, reducing costs and improving the efficiency, quality and reliability of the data, allowing easy controlled access to them.

We are committed to helping organizations take the necessary steps for digital transformation through the path ofData Governance.

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Optimize the accuracy of your company's data by 75%.

Benefits

Data quality, avoiding data duplication, data inconsistencies and data entry errors.

Improved communication and collaboration between different departments, facilitating data management and the effective implementation of Data Governance.

Improvement in regulatory complianceand regulations applicable to your data, such as the General Data Protection and Personal Data Regulations.

Solves the complexity of data systems,facilitating the management and access to data, generating data quality and informed decision-making.

40% improvement in data security with Data Governance programs and tools.

We are partners

Ataccama: Leading Platforms in Data Governance

we partner with Ataccama, leader in data, metadata management and automation software.

At ARKHO we are specialists in complex business data governance solutions that provide long-term sustainable value.

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Solution Areas

A Data Warehousing or data storage is a central repository of information that can be analyzed to make better informed decisions. Data flows into a data warehouse from transactional systems, relational databases and other sources, usually at a regular cadence. Business analysts, data engineers, data scientists, and decision makers gain access to data using business intelligence (BI) tools, SQL clients and other analysis applications.