Vendor Comparison in Predictive Analytics 2016: MnM DIVE Matrix - Research and Markets
Research and Markets has announced the addition of the "Vendor Comparison in Predictive Analytics 2016: MnM DIVE Matrix" report to their offering.
The increasing amount of business data across industry verticals and the rising demand for market and competitive intelligence have fueled the growth of predictive analytics solutions within the organizations. Predictive analytics has become an indispensable practice for enterprises, to sustain in the competitive environment.
Predictive analytics implements mathematical, regression modeling, statistical, neural nets, machine learning, genetic algorithms, text mining, decision trees, clustering, and data exploration techniques to extract insights from historical and present data. It also helps organizations uncover the hidden trends and patterns from big and complex data sets.
It evaluates the structured as well unstructured data such as e-mails, chat interaction, and social media interaction. Predictive analytics estimates which type of involvement will be required, where, and when.
The key benefit of predictive analytics is that it enables organizations to identify untapped opportunities and expose hidden risks buried inside vast amounts of data. By making predictive insights available to everyone, organizations are empowered to make the right choices at the right time and shape their future in a positive way.
The major growth drivers of the predictive analytics market include increase in the amount of data generated across industry verticals, increased focus on market and competitive intelligence, and higher and cheaper computing power. The predictive analytics market faces challenges such as lack of transformation from legacy architecture and lack of appropriate analytical skills. Factors such as complex analytical workflow and diversity of data models based on business needs are expected to limit the market growth.
Key Topics Covered:
2 Premium Insights
3 MnM Dive Overview
4 MnM Voice - Predictive Analytics
5 Predictive Analytics: Vendor Comparison
6 Vendor Profiles
- Alpine Data Labs
- Angoss Software
- Fair Isaac Corporation (FICO)
- IBM Corporation
- SAS Institute
- Tableau Software
For more information visit http://www.researchandmarkets.com/research/txspf6/vendor_comparison
Research and Markets
Laura Wood, Senior Manager
For E.S.T. Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
U.S. Fax: 646-607-1907
Fax (outside U.S.): +353-1-481-1716