Helping clients unlock the value of their data




We help clients gain insight from data to lower costs, improve efficiency, engage customers, protect assets and increase sales by understanding their customers.


Big Data

High volume, variety, velocity, variability, and veracity of data complicate Business Intelligence (BI) and analytics.  We specialize in simplifying and streamlining data storage and modeling to provide a foundation for highly visualized KPIs and metrics, data exploration, and operational reporting. 

DATA Science

Custom data models and algorithms provide statistical analysis metrics to offer insight you never had before.  Machine learning techniques improve the output from statistical models to help you continue to improve your business.

Predictive Analytics 

The KPIs and metrics from Data Science deliver a proactive approach to managing your business.  Instead of reacting to problems, predictive analytics provides a way to prevent problems in the first place.

Real-Time Streaming Analytics 

High data velocity means more opportunities for situational awareness.  By aggregating and visualizing KPIs and metrics in a real-time stream, you’ll no longer have to wait for post-situational reports and scorecards before you can adapt.

Data Visualization & Reporting 

We help you build decision trees for BI tool selection, data mining techniques for empowering business analysts, and we offer our best practices for visualizing and reporting metrics and KPIs in an array of technologies.

Data Modeling

Data models further optimize data warehouse capabilities or complement data warehouses by providing datasets with unique business implications and rules.  We build models for customer segmentation, Advanced Meter Infrastructure (AMI) events and exceptions, AMI consumption, load forecasting, outage, financial reconciliation, credit & collections, revenue protection, and many other utility specific functional areas.

Data Warehousing 

The variety, variability, and veracity of the data mean an increasing challenge to store it for optimal retrieval.  A solid data warehouse provides a common ground for business rules and uniformity where multiple teams can access and aggregate datasets.  The data warehouse also provides a platform for data modeling.