Gary Allemann

Don’t Boil the Data Ocean: Why Phasing Your Data Catalog Implementation is Key

A Phased data catalog rollout is key for quality metadata & user adoption. Avoid data catalogue chaos, build a successful system one step at a time.

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

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

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?

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?

Data Quality Issues: Unmasking Underlying Business Challenges

Understand the impact of poor data quality, common causes, and what to do about them. #DataQuality

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

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

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 South African companies?

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.