Customer Analytics

Marketing Analytics


The importance of Analytics in understanding the customer (Intelligence)

Several years ago, McKinsey & Co., published a research report: "The Customer Decision Journey" describing the new environment of customer empowered information gathering and buying decisions.  An Analytics system designed to collect data from multiple sources enables understanding the customer and their buying decisions, what the customer wants, is thinking, experiencing, sharing.

The importance of Analytics in defining who the customer is (Micro Segmentation)

R3, or making the right offer to the right customer at the right time is a goal of marketing.  A Customer Analytics system enables building robust, accurate Micro segmentation into many customer groups.  Interests, buying behaviors, timeliness, demographics, psychographics, history, and all variables comprising of the customer profile are correlated, and analyzed yielding insight needed for R3 and aiming for defining a customer of one.


The importance of Analytics in measuring marketing campaigns

The complexity of marketing has grown exponentially with the availability of big data and the large number of variables to analyze.  How effective are the investments in current marketing initiatives and campaigns?

The importance of Analytics in predicting marketing success

How well can you predict how future campaigns will perform?


Machine Analytics

Intelligence & Cyber Analytics


The importance of Analytics in understanding machine condition

Early detection of faults that can potentially eliminate the incidence of catastrophic failure in remote assets.  New generations of sensor networks enable multi-indicator analysis of environmental, operational, condition and performance variables.  Analytics performed on the hundreds of thousands of combinations build accurate predictive models providing early detection to prevent failures.    


The importance of Analytics to support the Intelligence Analyst

Intelligence agencies are collecting massive amounts of unstructured text data from many sources looking for warnings about potential terrorist threats.  Extremist organizations use social media as a tool to bring together communities of interest, discuss ideas, plans and actions.  Automating Analytics to handle the massive amounts of unstructured text data provides an counterterrorism tool supporting the Intelligence Analyst in distilling accurate situational awareness and handling massive unstructured data volumes.

The importance of Analytics to predict potential Cyber threats

Cyber attacks are a reality that all agencies are currently subjected to.  Traditional approaches are not adequate to meet today's challenges.  Analytics can build predictive models of potential cyber attacks enabling advanced actions to protect against persistent cyber threats.