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

A Semantic Layer to Enable Risk Management at a Multinational Bank

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

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

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

Knowledge Portal for a Global Investment Firm

The Challenge A major investment firm that manages over 250 billion USD in assets in a variety of industries across the globe engaged Enterprise Knowledge (EK) to fix their siloed information and business practices by designing and implementing a Knowledge … Continue reading