Data Sciences Group

Focused on turning data into information that drives innovation and fuels competitive advance.

The Data Sciences Group (DSG) is a discipline developed to bring our clients a data-focused experience. Data Sciences encompasses what we would typically consider traditional Business Intelligence and Data Integration; but much more. Our mission is to take our client’s data and turn it into information that leads to knowledge, innovation and competitive advantage. We do this through the addition of “data sciences” or, more succinctly, statistics, biostatistics, predictive models and predictive analytics. The focus is strategic data initiatives lead by Architects and Data Scientists as opposed to traditional (historical) tool based focuses. Data visualization, another key component of our data sciences offering, renders mathematical models and predictive studies into visual representations that non-data scientists can understand.

To accomplish our mission, DSG offers complete data integration strategies and solutions; the combination of technical and business processes used to combine data from disparate sources into meaningful and valuable information. Data integration strategies include common structures, such as operational data stores, and also extends into the big data space and data lakes utilizing common approaches such as Hadoop, Casandra and MongoDB.

DSG also embraces dimensional data warehousing, data marts and analytic sandboxes for the purpose of contextually binding data, deriving measures and facts and integrating third party data for analysis. Through dimensional structures and sandboxes, data visualization and exploration is greatly simplified and opens the door to self-service business intelligence strategies. Also, dimensional and sandbox structures provide a perfect platform for visually interacting with data, performing descriptive statistics, discovery and situational analytics.

Analytic sandboxes provide an avenue for data scientists to perform advanced analytics including statistics and biostatistics, data mining, and predictive analysis. Such advanced techniques may be accomplished via common statistical tools, such as SAS and SPSS, as well as specialty tools that also visually represent mathematical models.

Explore Our Services

Analytic Blueprint

Highlighting the Data Sciences Group’s solution offerings is their proprietary ‘Analytics Blueprint,’ a detailed plan that allows a client to engineer an analytics system utilizing best practice …

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Data Integration

Data integration is the combination of technical and business processes used to combine data from disparate sources into meaningful and valuable information. A complete data integration solution …

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Upcoming Events

Oracle Open World 2017

September 18 - 22 2017 | Moscone Center, San Francisco, CA

NRC will participate at Oracle OpenWorld, where tens of thousands of attendees will gather in San Francisco for an intense five days of learning and …

PEOPLESOFT RECONNECT 2017

July 18 - 20 2017 | Hyatt Regency O'Hare

RECONNECT features robust and innovative knowledge sharing to help keep PeopleSoft members current and informed. Presentations focus on "how to" … visit the event website.

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The Source

Understanding Your Chartfield Design

December 23, 2015 | Josh Dickson

Clients often question their chartfield design. It is a big question comprised of many smaller questions. Some of those questions are best answered with questions. Here is one such answer in the form of a question. … continue

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