Blog Archives
Data Management Trends in 2022: Data Fabric v. Data Mesh v. DataOps? What is Right for Your Organization?
When we start most of our engagements with our clients, there are common and important challenges we’re typically presented with that help summarize the core needs that persist within the data management space today: We don’t know what data we … Continue reading
Employee 360 Views: Common Use Cases
In an earlier blog, I discussed what Employee 360 Views are and which possible sources of information can feed them. In this blog, I describe why Employee 360 Views are important from various end users’ perspectives, what employee information they … Continue reading
Employee 360 Views: What are they?
Leaders from every organization need accurate and up-to-date information about their employees to support key corporate decisions, enhance business profitability, and remain competitive in today’s world. One of the best ways to better understand your employees is through an Employee … Continue reading
The Importance of a Semantic Layer in a Knowledge Management Technology Suite
One of the most common Knowledge Management (KM) pitfalls at any organization is the inability to find fresh, reliable information at the time of need. One of, if not the most prominent, causes of this inability to quickly find information … Continue reading
360-view of a Consumer: Deduplicating and Constructing Consumer Data using an Identity Graph
The Challenge For the last 30 years, a large global digital marketing and technology firm has been collecting consumer data on adults in the United States from hundreds of primary sources to build consumer marketing databases. Because data comes from … Continue reading
Leveraging Ontologies and Biomedical Standards for Data Governance, Process Optimization, and Product Findability
The Challenge A global veterinary company that provides a comprehensive suite of products, software, and services for veterinary professionals needed an effective taxonomy and ontology design to provide easy and consistent ways to find and use data in order to … Continue reading
Building a Semantic Enterprise Architecture
The EK Difference Using a hybrid analysis approach, consisting of a combination of user-driven research (facilitated workshops, focus groups, and interviews) and technology-driven research (in-depth analysis of the existing technology), EK captured the current Enterprise Architecture using our Semantic Enterprise … Continue reading
Enterprise AI Trends in 2020
Enterprise Artificial Intelligence (AI) entails leveraging machine capabilities to discover and deliver organizational knowledge and information in a way that closely aligns with how users look for and process information. The number of Enterprise AI applications is rapidly growing. Previously, … Continue reading
Natural Language Search on Big Data
The Solution By extracting key entities or metadata fields, such as topic, place, person, customer, plant, etc. from their sample files and data sets, Enterprise Knowledge (EK) developed an ontology to describe the key questions business users were interested in … Continue reading