AGNIK ANNOUNCES BITS---BUSINESS INTELLIGENCE FROM TELEMATICS---LARGE-SCALE
CLOUD-BASED DATA MINING FOR TELEMATICS SERVICE PROVIDERS
Columbia, MD, January 9, 2013
Agnik is pleased to announce the arrival of Agnik-BITS, a cloud-based high performance distributed data mining system for extracting business intelligence from telematics data. It is designed for Car Manufacturers and other telematics service providers collecting large volume of data. Agnik-BITS is designed to support analysis of data from both (1) the in-vehicle telematics devices with the Agnik Onboard Software and (2) other third party devices that send data to the server on their own. The BITS-system extracts performance patterns from data, builds predictive models from various types of telematics data, and correlates those with the business process using state of the art link analysis techniques. In short, BITS opens up new revenue streams from vehicle-telematics data by combining this with various non-telematics data.
Agnik-BITS allows performing wide range of analytics on location and vehicle performance data in conjunction with vehicle context data such as financial information and historical records, among others. Examples include (1) trend analysis of performance data from vehicle sub-systems over time, (2) multi-variate modeling of diagnostic data, (3) detecting frequent patterns of failures, (4) comparative analysis of vehicles, (5) benchmarking, (6) predictive failures and (7) varieties of geo-spatial patterns from location data.
"If you are bringing in a lot of vehicle/driver location and
performance data, but are wondering what else you can do with
the data then
Agnik-BITS may be of interest to you",
said
Dr. Hillol Kargupta, President of Agnik. "Using
the
open analytics architecture of BITS,and OEMs can now easily
extract data
patterns from location and vehicle performance data in order to
create
additional revenue streams".
Agnik-BITS is easy to use. Using a simple three step process one
can empower an application with the rich collection of BITS
analytics. Here is
how you can use Agnik-BITS:
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