Data Governance

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The amount of data in every organisation is increasing exponentially over the years. More and more data issues arise: data quality issues, problems with ownership of data, different definitions across the organization being used, privacy and security concerns, and more.

Without any form of data governance in place, organisations struggle to get sufficient value of data, one of the most important assets an organization has.  High-quality data is the cornerstone of business intelligence that drives accurate insights for smarter decision-making.
The governance works at 3 levels: people, processes, and technology. There are several frameworks that provide assistance in establishing data governance, such as the DAMA organization that publishes the Data Management Book of Knowledge, also known as DMBOK.

An overview of data governance maturity models can be found here.

Explore our AI & data governance services

At Sparkle, we believe data governance is best approached step by step, in a non invasive way.

Often, there are already informal data governance activities taking place, like: business is performing data quality checks, a glossary of definitions exists, someone that is taking up the role of data steward informally,… There might already be initiatives to document data flows and manage metadata. It often pays off to start categorizing and leveraging what is already there. Sparkle consultants typically do this in the form of an assessment.

An important aspect is to get C-level buy in. To achieve this, it often works best to prepare and present the business case to introduce data governance and highlight the value it will bring to the organization. It is advisable to set up a small team around data governance to take responsibility. An initial use case is selected based on several criteria. Usually, a use case is selected that clearly benefits the organization and is not too complex to implement. Lessons are learned based on that use case and gradually data governance is further established within the organization.

Sparkle enables organizations to maximize the value of data and is your go-to partner for Data & AI Governance expertise and services like setting up a business glossary, metadata management, and so on. Do contact us to discuss how we can help you to overcome your Data & AI Governance challenges.

Prepare for compliance with the EU AI Act

Numerous organizations are capitalizing on the substantial value that artificial intelligence (AI) brings, acknowledging its pivotal role in shaping the future. Simultaneously, these organizations are becoming increasingly aware that AI adoption comes with a spectrum of risks and ethical considerations. As an organization building or using AI systems, you will be responsible for ensuring compliance with the EU AI Act. 

Navigating the complexities of AI risk management and ensuring transparency in alignment with the EU AI Act poses a formidable challenge for organizations, regardless of their size. However, Sparkle offers a systematic solution through our EU AI Act Readiness Track approach, relieving you of the intricacies associated with compliance preparation and allowing you to concentrate on your core business operations.

Sparkle comprehends the nuanced challenges presented by the EU AI Act, providing a unique blend of profound expertise in AI technology, governance, and compliance. We assist you in mitigating various AI risks, including those that may result in regulatory fines, as well as risks that these guidelines aim to prevent—such as potential harm to companies, their customers, and the wider public.

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Challenges our data & governance experts solve

Organizations are facing a wide set of data challenges. Sparkle’s data governance experts are typically involved when solving the following challenges.

DISCOVER ALL DATA CHALLENGES

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