Gary Allemann

Enhance Data Quality – 4 approaches

Discover the four key approaches to ensuring data quality: manual, automated, observability, and testing. Learn how to balance human expertise with machine efficiency to deliver reliable, business-ready data.

Untangling the Product Data Web: What is Product Information Management (PIM)?

Struggling with inconsistent product data? Learn what Product Information Management (PIM) is, who needs it, and how it can streamline your omnichannel strategy.

A Data-Driven Approach to AI Success

Struggling to get the data you need for AI projects? Learn key strategies for building a robust data foundation, ensuring quality, accessibility, and governance for AI success.

The Data Governance Dilemma: Is it Sustaining or Disruptive? Why Implementations Fail

Data governance, the practice of managing the availability, usability, integrity, and security of data in enterprise systems, is often touted as a critical component of modern business. Yet, many data governance implementations fail to deliver on their promises, becoming bogged down in bureaucracy, generating little tangible value, or simply fading into irrelevance. A significant contributing…

When is data management successful?

Discover the key factors that define successful data management. Learn how to make data accessible, actionable, and innovative.

Shift-Left Data Quality: A Proactive Approach to Data Integrity

Learn about shift-left data quality, a proactive approach to ensure data accuracy and reliability. Discover how early detection and resolution of data issues can improve decision-making and reduce costs.

Effective and Ineffective Data Governance Policies

Good vs. Bad Data Governance Policies: Learn how to identify and implement effective data governance strategies to protect your organization’s valuable assets.

Proactive Data Quality Management – Early Detection of Issues

Ensure the reliability of your data with effective data quality management. Learn how to proactively identify and address data quality issues through data profiling, regular audits, and machine learning techniques. Improve your data-driven decision-making and enhance your organization’s overall performance.

Best Practices for Negotiating Data Sharing Agreements

Learn how to effectively negotiate data sharing agreements to protect sensitive information, ensure compliance, and foster successful collaborations. Discover best practices for defining data ownership, security measures, and dispute resolution.

Understanding Policies, Standards, and Rules in Data Governance

Learn the difference between data governance policies, standards, and rules. Understand how these components work together to ensure data quality, security, and compliance.