In September 2016 Cambridge Semantics attended Strata+Hadoop World 2016 in New York, NY. While we were there, Marty Loughlin, our VP of Financial Services, spoke to a gathering of attendees about who we are and what our platform does. Here is his presentation.
"So what?" you might say. Another hyperbole-fueled headline in tech is hardly a notable event. To answer, let's start with what we did.
A data mart is a simple form of a data warehouse that is focused on a single subject or functional area. It draws data from a limited number of sources such as sales, finance or marketing, and is often created and controlled by a single department within an organization. Like data warehouses, data marts implement the characteristics of governed, non-volatile, and integrated data, although the static model known to be the “truth” at the time is of a smaller scope than the enterprise scope used in a data warehouse.
As organizations recognize the positive impact that big data has on a company’s performance and innovation, the position of Chief Data Officer (CDO) continues to grow in prominence across numerous industries.
Our Chief Technology Officer Sean Martin and Vice President of Engineering Barry Zane will be speaking at the Enterprise DATAVERSITY: Data Strategy and Analytics Forum next week in Chicago, September 19 - 22, 2016. The event brings developers, business executives, analytics and data professionals together to discuss the key data strategies necessary to create a successful, modern data analytics organization.
The evolution of big data over recent years has resulted in a new role that has been gaining industry traction – the Chief Data Officer (CDO). As executives begin to recognize the business value residing in their data, they are focusing now more than ever on finding ways to manage and govern this data. The CDO is emerging as a key player in the enterprise by helping to establish and maintain data governance, quality, architecture and analytics, enabling firms to more productively harness information to manage risk, reduce cost and drive innovation.
The challenge for analysts seeking trading opportunities that outperform the market is not a lack of information. It is an over-supply of information from widely disparate sources. How do you sift through the overwhelming flow of reports, news feeds, articles, blogs and social media posts to find the sentiments, relationships, patterns, unique insights and powerful nuggets of information that drive performance?
Cambridge Semantics’ #SmartDataChat on Twitter May 25, 2016 provided an engaging conversation with several well-respected industry observers regarding data governance in the era of big data discovery and analytics. In addition to our own resident expert Marty Loughlin (@mloughlin) , the #SmartDataChat participants were a “Who’s Who” of today’s leading big data and IT journalists. Below is a sampling of some key Tweets that were posted:
State Street Bank, The EDM Council, Dun & Bradstreet, Wells Fargo and Cambridge Semantics completed an engagement to harmonize State Street's Interest Rate Swap data with Dun & Bradstreet's entity hierarchy data using the Financial Industry Business Ontology (FIBO) and Cambridge Semantics' Anzo Smart Data Lake®.
Exploratory analytics represents the evolution—and perhaps culmination—of conventional analytics and business intelligence options. It’s a combination of real-time data discovery and ad-hoc, graph-aware analytics that provides automatic, self-service insight for end users on all their data.