Pune, India -- (SBWIRE) -- 04/25/2016 -- The report "Vendor Comparison in Predictive Analytics 2016: MnM DIVE Matrix", The report on Vendor Comparison in Predictive Analytics based on MnM DIVE Methodology analyzes and evaluates the key vendors in the predictive analytics market.

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About the Document

The report on Vendor Comparison in Predictive Analytics based on the MnM DIVE Methodology covers the comprehensive study of the key vendors offering solutions for predictive analytics. The report will help stakeholders to analyze detailed information regarding their competitors on the basis of their product offering and business strategy. The report reviews major players that offer predictive analytics solutions and outlines the findings and analysis on how well each predictive analytics vendor performs within our criteria.

This report is instrumental in helping the stakeholders, such as predictive analytics vendors, system integrators, value-added resellers, and other channel partners, in making concurrent business choices on the deployment of predictive analytics solutions.

Vendor Landscape

Most of the vendors are trying to provide a complete predictive analytics suite which can be used for various business functions such as sales, marketing, finance, HR, and operations. They are competing to provide the end users with an innovative combination of analytics features as well as are trying to cater to all types of business applications, such as risk management, operations management, sales and marketing management, workforce management, financial management, web and social media management, and network management. Mobile Business Intelligence (BI), in-memory analytics, Natural Language Processing (NLP), Complex Event Processing (CEP), and visualization are the most crucial features of an effective predictive analytics solution offered by major vendors to predict business outcomes using the business data of any format coming from various sources.

The following vendors are included in the report:

1) Alpine Data Labs
2) Alteryx, Inc.
3) Angoss Software Corporation
4) Birst
5) Fair Isaac Corporation (FICO)
6) IBM Corporation
7) RapidMiner
8) SAS Institute
9) Tableau Software
10)TIBCO Software, Inc.

MnM DIVE Methodology

The MnM DIVE methodology involves extensive research to identify the key vendors offering predictive analytics solutions. A comprehensive list of predictive analytics vendors was prepared, through secondary research referring to annual reports, press releases and investor presentations of companies, white papers, directories, and databases. Based on their breadth of product offering, organization size, and other selection criteria, the list was narrowed down to select the key 10 vendors.

During the production cycle of the report, in-depth interviews were conducted with various primary respondents, which include key opinion leaders, subject matter experts, directors, and C-level executives of selected predictive analytics vendors to obtain and verify critical qualitative and quantitative information. This primary data was collected mainly through questionnaires, mails, and telephonic interviews.

Scoring Methodology

After completion of the data gathering and verification process, the scores and weightage for the shortlisted vendors against each parameter were finalized. Based on the extensive secondary and primary research, each criterion for the selected vendors was scored on the scale ranging from 0 to 10. After the ratings were finalized, each vendor was placed in the MnM DIVE matrix based on their score in product offering and business strategy in the predictive analytics market.

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