Vendor Comparison in Predictive Analytics 2016: MnM DIVE Matrix

  • ID: 3678541
  • Report
  • Region: Global
  • 63 Pages
  • Markets and Markets
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The Key Benefit of Predictive Analytics is Enabling Organizations to Identify Untapped Opportunities and Expose Hidden Risks Buried Inside Vast Amounts of Data

FEATURED COMPANIES

  • Alpine Data Labs
  • Alteryx
  • Angoss Software
  • Birst
  • IBM Corporation
  • RapidMiner
  • MORE
The vendor comparison report on predictive analytics based on MnM DIVE methodology covers a detailed study of the major players offering predictive analytics solutions. The key 10 vendors of predictive analytics were analyzed on the basis of their product offering and business strategy. The vendors were shortlisted based on their solution capabilities, technology innovations, industry coverage, viability, breadth of product offering and others.
The report will help the stakeholders such as predictive analytics vendors, technology partners, system integrators, consultants, distributors, and value-added resellers to make business strategies and decisions on the deployment of predictive analytics solutions.
MarketsandMarkets defines predictive analytics as a technology for predicting the future outcomes, on the basis of analyzing either historical data or present data. It helps in determining the trends and patterns within the data that is beneficial for organizations to estimate and make predictions about the future and take appropriate actions according to the predicted results. Predictive analytics solutions comprises an array of capabilities including automated analytics, advanced visualization, predictive scoring, big data analytics, R integration, risk management and other capabilities.
Vendors Evaluated
The report covers the comprehensive study of the key vendors offering solutions for predictive analytics. We have evaluated the following 10 key vendors:
? Alpine Data Labs
? Alteryx, Inc.
? Angoss Software Corporation
? Birst
? Fair Isaac Corporation (FICO)
? IBM Corporation
? RapidMiner
? SAS Institute
? Tableau Software
? TIBCO Software, Inc.

Vendor Inclusion Criteria
We have selected the 10 vendors for evaluations based on their breadth of product offering and robust business strategy. The focus of our vendor evaluation is based on the product they offer in the predictive analytics market. A comprehensive list of all the vendors in this market was created through a product mapping strategy and MarketsandMarkets analysis. Based on their capabilities, innovations, and breadth of product offering, vendors were shortlisted. Our selected vendor mix includes companies from tier 1 to tier 4 and covers the whole market comprehensively.
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Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Alpine Data Labs
  • Alteryx
  • Angoss Software
  • Birst
  • IBM Corporation
  • RapidMiner
  • MORE
1 Introduction
1.1 About the Document
1.2 Market Definition
1.3 Stakeholders

2 Premium Insights

3 MnM Dive Overview
3.1 Dive Evaluation Overview
3.2 Vendor Inclusion Criteria
3.3 Vendors Evaluated

4 MnM Voice - Predictive Analytics
4.1 Predictive Analytics: A Prevailing Tool to Analyze Big Data and Predict the Future of Business Outcomes
4.2 Predictive Analytics: Best Practices

5 Predictive Analytics: Vendor Comparision
5.1 MnM Dive Scorecard
5.2 MnM View

6 Vendor Profiles
6.1 IBM Corporation
6.2 SAS Institute
6.3 Angoss Software Corporation
6.4 Tableau Software
6.5 Rapidminer
6.6 Tibco Software, Inc.
6.7 Alpine Data Labs
6.8 Fair Isaac Corporation (FICO)
6.9 Alteryx
6.10 Birst

7 Appendix
7.1 MnM Dive Vendor Comparision Methodology
7.2 Quadrant Description
7.3 List of Abbreviations
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Alpine Data Labs
  • Alteryx
  • Angoss Software
  • Birst
  • IBM Corporation
  • RapidMiner
  • MORE
Predictive analytics is the practice of extracting meaningful information from present as well as historical data sets. The practice determines the patterns of data and predicts the future outcomes and trends. Basically, predictive models and analysis are used to estimate future probabilities with an acceptable level of consistency. 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.

The report on vendor comparison in predictive analytics based on DIVE methodology reviews major players that offer predictive analytics solutions and outlines the findings and analysis on the basis of two broad categories: Product Offerings and Business Strategies. Each category carries various criteria, based on which the vendors are evaluated.

Based on the extensive secondary and primary research, key information about the vendor’s product offering and business strategies was gathered. After the completion of data gathering and verification process, the scores and weightage for shortlisted vendors against each parameter was finalized. After evaluating all the vendors, a comparison scorecard was prepared and each vendor was placed in the DIVE matrix based on their product offering and business strategy scores.

This report is instrumental in helping the stakeholders, such as predictive analytics vendors, system integrators, consultants, value-added resellers, and technology partners, to make business decisions on predictive analytics solution deployments.

The report covers the comprehensive study of key predictive analytics vendors, including Alpine Data Labs, Alteryx, Inc., Angoss Software, Birst, Inc., Fair Isaac Corporation (FICO), IBM Corporation, RapidMiner, SAS Institute, Tableau Software, and TIBCO Software.

Exteneded Description

In today’s data driven world, one of the biggest challenges for the companies is to manage the rapidly generating, voluminous data. Along with this, the ever-increasing business demand for maximum flexibility of resources and the inevitable advancement of big data are encouraging the enterprises to adopt the predictive analytics model. It empowers an organization to identify untapped opportunities and expose hidden risks buried inside enormous amounts of data. With the availability of predictive insights to everyone in the organization, organizations are empowered to make the right choices at the right time and shape their future in a positive way.

The definition of predictive analytics in this report is a technology for predicting the future outcomes, on the basis of analyzing either historical data or present data. It helps in determining the trends and patterns within the data that is beneficial for organizations to estimate and make predictions about the future and take appropriate actions according to the predicted results.

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.

The report on Vendor Comparison in Predictive Analytics based on MnM DIVE Methodology analyzes and evaluates the key vendors in the predictive analytics market.

Vendor Inclusion Criteria

The report selects 10 vendors for evaluations based on their breadth of product offering and robust business strategy. The focus of the vendor evaluation is based on the product they offer in the predictive analytics market. A comprehensive list of all the vendors in this market was created through a product mapping strategy and analysis. Based on their capabilities, innovations, and breadth of product offering, vendors were shortlisted. Our selected vendor mix includes companies from tier 1 to tier 4 and covers the whole market comprehensively.

Vendors Evaluated

The report covers the comprehensive study of the key vendors offering solutions for predictive analytics. It evaluates the following 10 vendors: Alpine Data Labs, Alteryx, Inc., Angoss Software, Birst, Inc., Fair Isaac Corporation (FICO), IBM Corporation, RapidMiner, SAS Institute, Tableau Software, and TIBCO Software.
Note: Product cover images may vary from those shown
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- Alpine Data Labs
- Alteryx
- Angoss Software
- Birst
- Fair Isaac Corporation (FICO)
- IBM Corporation
- RapidMiner
- SAS Institute
- Tableau Software
- TIBCO Software
Note: Product cover images may vary from those shown
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Note: Product cover images may vary from those shown
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