Browse our blog posts for best practices, tips and thoughts on how to unlock the value of your data!
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The Road to Decision Nirvana: Why Data Still Reigns Supreme
Decision support vs making: Can AI make choices? Explore the future of data-driven decisions & how quality data remains key Read more
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Beyond Validation: How the Best Data Quality Rules are Actually Business Rules
Unlock the true power of data quality! Learn how to craft business rules that ensure data supports regulatory compliance, operations & key reports Read more
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Data Quality Management: It’s About Prevention
The goal of data quality management is simple – to stop data quality issues from reoccurring. So why do so many DQM efforts fails to achieve this goal? Read more
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The Data Backbone of Sustainability: Principles for Reliable ESG Reporting
Accurate, reliable data is the backbone of credible ESG reporting, fostering trust with stakeholders and investors. So, how can companies ensure their data is up to the task? Read more
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Data Quality Issues: Unmasking Underlying Business Challenges
Understand the impact of poor data quality, common causes, and what to do about them. #DataQuality Read more
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Master Data Management: The Cornerstone of a Data-Driven Insurance Company
Modern insurance companies must extend risk and customer analytics beyond traditional actuarial approaches. Master Data Management (MDM) emerges as a cornerstone technology, ensuring data accuracy, integrity, and consistency across the organization Read more
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Location Intelligence: A GPS for Smarter Decisions in Insurance
Accurate data must go beyond data quality to add rich location context necessary for risk management Read more
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Demystifying ESG: South Africa’s Growing Focus on Sustainability Reporting
Environmental, Social, and Governance (ESG) – these three letters are making waves in the business world, particularly in South Africa. But what exactly does ESG stand for, and why is it becoming increasingly important for… Read more
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Dirty Data, Dirty Profits: Why Data Quality is Critical for Insurers
The greatest challenge facing our industry’s data leaders is the quality and the integrity of data. A significant contributor to that will be which external and enrichment data sources are being used. Read more
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