Knowledge Base - Enterprise Knowledge

Semantic Layer for Content Discovery, Personalization, and AI Readiness

EK Team . July 29, 2025 . Case Study

A professional association needed to improve their members’ content experiences. With tens of thousands of content assets published across 50 different websites and 5 disparate content management systems (CMSes), they struggled to coordinate a content strategy and improve content discovery. They could not keep up with the demands of managing content … Continue reading

Extracting Knowledge from Documents: Enabling Semantic Search for Pharmaceutical Research and Development

EK Team . March 3, 2025 . Case Study

The Challenge A major pharmaceutical research and development company faced difficulty creating regulatory reports and files based on years of drug experimentation data. Their regulatory intelligence teams and drug development chemists spent dozens of hours searching through hundreds of thousands … Continue reading

Enhancing Retail Performance with Semantic Layer As an Enabler for Data and Analytics Teams

EK Team . January 6, 2025 . Case Study

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

A Semantic Layer to Enable Risk Management at a Multinational Bank

EK Team . December 13, 2024 . Case Study

Enterprise Knowledge is working with a multinational bank to enable their risk-assessing processes by using semantics and connected data. Heavily regulated financial services firms require comprehensive and complex risk management. This requires employees to thoroughly account for risk and report it in detail to regulators. Continue reading

Optimizing Historical Knowledge Retrieval: Standardizing Metadata for Enhanced Research Access

EK Team . May 10, 2024 . Case Study

Enterprise Knowledge (EK) helps a federal research and development center standardize their descriptive metadata to support content findability. Continue reading

Generative AI-Assisted Taxonomy Development for a Global Investment Bank

EK Team . February 5, 2024 . Case Study

The Challenge A multinational financial institution with a century-long legacy, celebrated for pioneering financial solutions and shaping the global economic landscape, relied on unstructured data for risk management. With a vast array of risks to consider, and a wealth of … Continue reading

A Semantic Data Fabric with Federated Governance for Data Standardization

EK Team . November 23, 2022 . Case Study

The Solution To enable the adoption of standardized data across the organization, EK spearheaded the design and development of an enterprise ontology, defining key data elements describing the core financial activities the client performs for millions of customers as well … Continue reading

Content Management Strategy for an International Retailer

EK Team . August 2, 2022 . Case Study

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

User-Centric Content Engineering to Improve Customer Experience

EK Team . July 25, 2022 . Case Study

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

System Migration and Enterprise Search Design Powered by Enterprise Taxonomy, Automated Tagging, and Content Governance

EK Team . August 10, 2021 . Case Study

The Challenge Staff at a US-based investment and insurance company were spending extraneous amounts of time finding information through the organization’s search experience. Users had been instructed to interact with search in specific ways (which filters to use, how to … Continue reading