Content related to Knowledge Capture & Knowledge Transfer
A Guide to Selecting the Right Auto-Tagging Approach
Auto-tagging processes automate the manual labor of applying relevant keyword tags to data and content, enhancing accessibility and improving the organization of large datasets. Whether you’re trying to improve how quickly you find data or embarking on a content cleanup … Continue reading
Why Graph Implementations Fail (Early Signs & Successes)
Organizations continue to invest heavily in efforts to unify institutional knowledge and data from multiple sources. This typically involves copying data between systems or consolidating it into a new physical location such as data lakes, warehouses, and data marts. With … Continue reading
EK’s Year in Review – 2024
Entering the first full week of 2025, I’m happy to share the Enterprise Knowledge year in review for 2024. This has become a long-standing tradition, dating back to 2016. Every year this is a great reminder of how far we’ve … Continue reading
Enhancing Retail Performance with Semantic Layer As an Enabler for Data and Analytics Teams
In the fast-paced retail sector, organizations need to be able to quickly view store performance analytics in order to make crucial decisions. A leading global retail chain faced significant delays of up to 5-6 weeks when attempting to retrieve essential store performance metrics and create reports for executive leadership. This bottleneck was largely due to … Continue reading
Butterfly Effect: Taxonomy and Ontology as AI Catalysts in Enterprise Learning
Organizations understand the importance of leveraging AI to stay competitive in the evolving technological landscape, but do not always know how to get started. In their talk at Taxonomy Boot Camp 2024 in Washington, D.C., Tatiana Baquero Cakici and Sara … Continue reading
Data Governance Program Starter Kit
A successful data governance program must align with organizational priorities, ensure data consistency, and provide clear accountability. However, many organizations face challenges such as undefined roles, lack of cross-functional collaboration, and inconsistent processes, which can impede governance efforts. For Data … Continue reading
Data Catalog Expansion Workshop
A data catalog is a centralized repository that organizes, manages, and indexes an organization’s data assets and related metadata, making it easier for users to discover, access, and understand the data available to them. It serves as a foundation for … Continue reading
Data Governance Maturity Assessment
An organization’s data governance maturity is directly correlated with its probability of success when launching modern data initiatives aimed at increasing data reliability, ownership, compliance, usability, and scalability. Substandard data governance can counteract these efforts over time, resulting in failed … Continue reading
Data Product Accelerator
Data products are reusable data resources that collect and enrich data in order to answer specific questions about a use case and also provide structured access through APIs or visualization tools. As organizations strive to extract more value from their … Continue reading
Improve Enterprise AI with Semantic Content Management
In my article, How to Prepare Content for AI, I introduced some basic steps to help you prime your organization’s content for an effective AI implementation: two of those steps – structuring and componentizing – are often misunderstood or skipped … Continue reading