Using Knowledge Graph Data Models to Solve Real Business Problems
A successful business today must possess the capacity to quickly glean valuable insights from massive amounts of data and information coming from diverse sources. The scale and speed at which companies are generating data and information, however, often makes this … Continue reading
Lulit Tesfaye Speaking at the Community Transportation Expo 2019
Enterprise Knowledge’s (EK) Lulit Tesfaye, Practice Lead for Data and Information Management, is presenting at this year’s Community Transportation Association of America (CTAA) Expo 2019, to be held from May 18 – 23rd in Palm Springs, California. The Expo is … Continue reading
The Roadmap to Open, Accessible, and Machine-Readable Data
In January, the federal government passed a new law to improve data management at federal agencies, H.R. 4174, the “Foundations for Evidence-based Policymaking Act of 2018”. The law includes the Open, Public, Electronic, and Necessary Government Data Act, or the … Continue reading
The Cost of Doing Nothing: The Business Case for Knowledge and Information Management
For many organizations, investment decisions on Knowledge, Data, and Information Management initiatives are driven by high-level business objectives such as increased efficiency, productivity, competitive advantage, and enhanced employee or customer engagement. While aligning Knowledge and Information Management initiatives with business … Continue reading
How Data Scientists Find Relevant Data with a Data Knowledge Graph
A better way to manage data using semantic graphs for dataset metadata modeling. A recent study from Gartner found that expensive data science resources are often “misaligned” due to the fact that data science teams are spending a majority of … Continue reading