Data Quality
Turn your data into trusted assets for decision-making
Data quality is an essential component of modern information management. If your data is not accurate, complete, or consistent, your decisions and results will be at risk. Our data quality consulting service is designed to help you establish continuous control over critical business data, with a pragmatic and results-oriented approach.
Industries
Client Stories
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Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Client: Name
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Year: 2023
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Industry: Finance
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Client: Name
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Year: 2023
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Industry: Finance
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Client: Name
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Year: 2023
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Industry: Finance
Use Cases
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Development of AI models in regulated sectors (finance, health, government)
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Implementation of responsible AI frameworks
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Auditing and explainability of models in production
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Integrating AI into sensitive decision-making processes

Why work on Data Quality?
Organizations across all sectors face common challenges: inconsistent reporting, misaligned KPIs, and decisions based on incomplete data. Through our consulting services, we help you:
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Establish clear and measurable data quality rules
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Continuously monitor and report on data status
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Support data owners in their operational roles
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Translate findings into concrete improvement actions


Guiding leaders towards successful AI implementation
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Trusted data is the intersection of data governance and AI governance: the outcome of one and the foundation of the other. The FSFP Modern Data and AI Enablement Framework enables organizations to leverage their existing data governance capabilities to drive success in AI adoption.
Do you want to improve the quality of the data that drives your decisions?
Our approach
1. Monitoring Key Data Quality Indicators
We implement and monitor KPIs that allow us to continuously and business-orientedly evaluate the state of the data.
2. Support for Data Stewards and Owners
We provide active support to key data governance roles, strengthening their ability to make informed decisions about data quality.
3. Monitoring Action Plans
We track the progress of improvement initiatives and manage their implementation, ensuring that quality gaps are reduced sustainably.
4. Periodic Executive Reports
We generate monthly and quarterly reports on the status of data quality, including trends, key metrics, and relevant findings.
5. Quality Tools and Operation Support
We support the daily operation of quality-related technology platforms, including configurations, rule review, and technical support.
6. Quality Initiative Backlog Management
We maintain a portfolio of prioritized initiatives that allow us to align quality improvement with business needs.
