Content related to Best Practices for Enterprise Knowledge Graph Design
Constructing KM Technology: Tips for Implementing Your KM Technology Solutions
In the digital age that we now live in, making Knowledge Management (KM) successful at any organization relies heavily on the technologies used to accomplish every day tasks. Companies are recognizing the importance of providing their workforce with smarter, more … Continue reading
Three Pillars of Successful Data Catalog Adoption
Data catalogs function as a central library of information about content and data across an enterprise, making them a useful metadata management tool. They can aid organizations that struggle with poorly documented metadata, duplicated data work, and wasted time due … Continue reading
Why Your Data Fabric Needs an Enterprise Ontology
In today’s rapidly growing and evolving data environment, it is increasingly difficult for organizations to get maximal value from the full breadth of their data. As more data is produced faster by more sources, it is difficult for analysts, data … Continue reading
Leveraging Headless CMS for Technical Cross-Functionality
Headless CMS (Content Management System) architecture is a flexible development strategy for applications that is rapidly growing in today’s industry practices. Utilizing a headless CMS architecture allows an application to deliver content authored from a single interface to multiple delivery … Continue reading
Learning 360: Crafting a Comprehensive View of Learning Content Using a Graph
Chris Marino, a Principal Solution Consultant at Enterprise Knowledge (EK), was a featured speaker at this year’s Data Architecture Online event organized by Dataversity. Marino presented his webinar “Learning 360: Crafting a Comprehensive View of Learning Content Using a Graph” … Continue reading
Content Management Strategy for an International Retailer
The Challenge The learning team for an international retailer struggled to find and discover the knowledge resources that supported their work and their online learning solutions. The retailer’s learning team used an abundance of manual templates and processes, along with … Continue reading
Breaking it down: What is a Taxonomy?
A few years ago, I did an activity at a leadership retreat where each person slowly whittled down a list of words to a single word that most represented them. The word that I ended up with was “simplicity,” and … Continue reading
User-Centric Content Engineering to Improve Customer Experience
The Challenge A global financial firm needed to improve the user experience (UX) for its technical support documentation hub. Prior to EK’s involvement, the client company received user feedback expressing that interacting with the technical support documentation was cumbersome. Only … Continue reading
Expert Analysis: When should my organization use auto-tagging? Part One
As EK works with our clients to design data models, including taxonomies and knowledge graphs, we often implement corresponding auto-tagging solutions to augment the organization and enrichment of unstructured content. In this blog series, two of our senior technical consultants, … Continue reading
The Value of Data Catalogs for Data Scientists
Introduction After the Harvard Business Review called Data Scientist the sexiest job of the 21st century in 2012, much attention went into the interdisciplinary field of data science. Students and professionals were curious to know more about what data scientists … Continue reading