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Industry leaders feel that predictive analytics is one of the "next big things"
in business intelligence. The central objective of implementing predictive analytics
is to use the company's data and information about its past and present business
activities, stored in data warehouses, data marts, log files, and other sources
and make predictions about future events. Once the required data has been collected,
advanced analytics methods such as statistics, data mining and predictive modeling
can be applied to the data to develop the required predictions, which in turn can
be used to support the informed decision making capabilities of all individuals
in an organization.
Many organizations have developed business intelligence (BI) capabilities for delivering
commonly requested management reports. The traditional implementation maintains
separate technology stacks, one for the operational (online transaction processing
or OLTP) style of applications and another for BI and reporting applications with
a unidirectional data movement, from the operational system to the data warehouse.
In predictive analytics, the goal is to close the loop in the flow of information,
so that predictions derived from historical data can be used to improve business
decisions and finally reflected in the OLTP applications.
Acxius’s Predictive Analytics Services can help you build a predictive enterprise
by creating high-performance and scalable analytical solutions, to provide actionable
information and achieve your EIM goals - thus taking your business to the next level
in the process.
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