Digital Workplace
Is Your Internal Data Ready for Everyone on Your Team?

Structure your content and data to make enterprise smarter, faster, and more profitable.

Data drives the digital workplace

To compete at the speed of digital, companies need teams to access relevant, timely information to do their jobs effectively and make better, faster decisions. EIS builds the data architectures that bring diverse knowledge sources together making them findable, useable, and valuable.

What are you looking to accomplish?

Business Intelligence

Are your teams wasting time manually creating reports?  EIS builds a consistent information architecture to enable richer and more relevant analytics for accelerated decision making.

Enterprise Search

How much time and money do your teams spend looking for information they need to do their jobs?  Based on years of industry experience, EIS combines user-focused design with proven approaches in search to help people quickly find the information they need.

Knowledge Management

Do your teams effectively use your knowledge portal and collaboration tools? EIS designs knowledge management systems that supports measurable outcomes and organizational change.

Content Management

Struggling to connect content across numerous knowledge and collaboration systems in your enterprise? EIS helps you build content models and engagement strategies for digital content.  Create once and publish everywhere.

Optimize and organize enterprise content to improve productivity

Applied Materials was losing millions of dollars every month in lost productivity. Learn how we helped get field service engineers quickly to the right information.

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Further Reading

Information managers need to be able to quantify the value of information curation, because otherwise justifying its cost can be difficult. 


One of the barriers to launching an initiative to develop an enterprise ontology may be concern about how to staff such an initiative.

White Paper

There was a time when digital transformation was considered a strategic vision for how organizations evolve from a traditional model of customer engagement to the new digitally enabled and data driven go-to-market paradigm.


A well-integrated knowledge engineering approach solves immediate knowledge access by humans, while laying the foundation for an AI-powered future.