Data Quality in the Age of AI and Machine Learning (Data Quality Series Part 3)

Data quality is a crucial aspect of any organization’s operations, and its impact is growing as artificial intelligence (AI) and machine learning (ML) continue to evolve. However, determining what qualifies as "good enough" data can be a challenge.

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What to Consider When Building a Data Quality Strategy (Data Quality Series Part 2)

Data Quality Series Part 2: Ensuring data quality is about finding the right balance—over-cleaning can remove valuable insights, while evolving data demands flexibility. This blog post explores how businesses can define quality thresholds, manage costs, and leverage AI-driven automation to maintain consistency and usability.

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The Importance and Value of Strong Data Quality Fundamentals (Data Quality Series Part 1)

Data Quality Series Part 1: Discover how strong data quality fundamentals drive AI and GenAI success by ensuring accuracy, completeness, and consistency through end-to-end data management.

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Competing Globally Through Data Agility: Grupo EULEN Becomes Data-Fit with Pentaho

Grupo EULEN uses the Pentaho+ Platform to boost agility, streamline data workflows, track metrics, and drive faster, smarter decisions.

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Bridging The Gaps: Helping Mid-Tier Bank IT Teams Minimize Risk and Reach Data Modernization, Compliance and AI Goals

Mid-tier banks face unique challenges in data modernization, governance, and compliance due to budget and resource constraints, requiring tailored strategies to meet growing regulatory and AI demands.

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Are Your Data Foundations Ready to Support Responsible AI?

Recent Enterprise Strategy Group Survey Highlights Key Investments and Focus Areas for Companies to Become Data Fit and AI Ready

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Unlocking the Power of SAP Data with Pentaho Data Integration

Organizations across every industry that rely on SAP can benefit from leveraging Pentaho Data Integration and the SAP Connector to access and leverage more of their valuable data.

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BFSI Data Quality: Implementing World Class Risk and Compliance Measures

Considering evolving regulations, data quality will always remain at the core of BFSI resilience and competitive advantage. BFSI organizations that invest in data quality will be able to join the world’s standards, stay on-side, and scale.

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Why Mid-Tier Banks Require a Closed Source Data Management Solution to Meet DORA Compliance

While DORA is a looming regulatory burden, it presents a real opportunity for smaller and mid-sized banks.

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