EnterpriseWeb talks about “Flexible Master Data” and “Smart Data Interoperability” at EDW 2015

If you are heading to DC next week for Enterprise Data World, be sure to stop by our Booth #104 and attend one of Dave’s always lively and thought provoking talks / demos (details/links below).


Flexible Master Data in Dynamic Environments

Dave Duggal, Founder / Managing Director, EnterpriseWeb

Tuesday, March 31, 11:15 AM – 12:00 PM



Master Data projects always start with best intentions, but as with any modeling activity, we forget the limitations of models (abstractions for convenience) and the models themselves become our enemy, restricting general business agility. These are high-profile, high-cost, high-risk project; it’s worth pausing to take stock, what is it we actually want to accomplish.

In short, MDM is about “shared-understanding”, between humans, systems, and more recently – infrastructure (DevOps) and devices (IoT). We want to interoperate freely for improved visibility, decision-making and automation with the least effort to deploy and maintain. As our environments become dynamic, distributed and diverse organizations are under pressure to solve this increasingly complex problem.

Dave will make the case for a more flexible/adaptive form of master data management and will describe an information fabric with loosely-coupled elements, relationships and policies in a dynamically curated environment where links and tags support automated interoperability, flexible perspectives and non-disruptive change.


Smart Data Interoperability and Integration at Scale

Dave Duggal, Founder / Managing Director, EnterpriseWeb

Eric Little, VP / Chief Scientist, Modus Operandi, Inc.

Tuesday, March 31, 12:15 PM – 1:00 PM



With the explosion of Cloud, Big Data and Internet of Things, there is increasing pressure for practical business solutions that must operate on very large, messy data sets, which are often reliant on big data and statistical techniques. A new market is emerging, which builds on some of the key concepts of the Semantic Web, but extends far beyond them to include more advanced technologies akin to Artificial Intelligence and Distributed Computing where interoperability and data integration can be more realistically implemented at scale.

What organizations really want is to enable applications to leverage context in near-real-time for improved analytics, decision support and capabilities to react to issues present. The goal is for ‘smart’ systems to perform the tedious work involved in finding, combining, and acting upon information – allowing SME’s to perform more of their day jobs and spend less time searching for answers. We need intelligent agents that automate more of the processing than is currently provided by Semantic Web tech by itself.

Dave and Eric will briefly review the current state of automation technologies and discuss new market demands and trends in Big Data Analytics, and demonstrate practical semantically-rooted capabilities that contemporary businesses can leverage and actually use to drive real world results at scale.