Predictive analytics and other types of advanced analytics technology are becoming major factors in the analytics market. This Magic Quadrant evaluates 16 leading providers of advanced analytics platforms that are used to build solutions from scratch
Gartner defines advanced analytics as the analysis of all kinds of data using sophisticated quantitative methods (for example, statistics, descriptive and predictive data mining, simulation and optimization) to produce insights that traditional approaches to Business Intelligence - such as query and reporting - are unlikely to discover.
ADVANCED ANALYTICS PLATFORM VENDORS
1. SAS
SAS has been the most common choice for organizations that are seeking an advanced analytics environment. It has 40,000 customers and the largest ecosystem of users and partners. Its strength is in the banking, insurance, business services and government sectors.
2. IBM
IBM has evolved its portfolio so that its capabilities in predictive analytics are accessible to various user types and skill levels. It is best known for its SPSS statistics and SPSS modeler products and solutions. It also addresses wide range of challenges relating to customers, operations, physical assets and risks.
3. KNIME
KNIME stands for Konstanz Information Miner and is a Zurich based company. It offers a free, open-source, desktop-based advanced analytical platform. it also offers a commercial, server based on-site / customer cloud solution that provides additional expertise functionality. It's experience is in life-sciences, government, education, banking and all communication sectors.
4. RapidMiner
RapidMiner is based in the US and it has a platform that is code-free UI and is available both in the cloud and an open source client / server platform. It also has a commercial edition that has the ability to work on larger data sets and to connect to more data sources. the platform is easily extendable via third party languages, analytic libraries, BI platforms, and web applications.
Read the complete research report at Magic Quadrant for Advanced Analytics Platforms
Gartner defines advanced analytics as the analysis of all kinds of data using sophisticated quantitative methods (for example, statistics, descriptive and predictive data mining, simulation and optimization) to produce insights that traditional approaches to Business Intelligence - such as query and reporting - are unlikely to discover.
ADVANCED ANALYTICS PLATFORM VENDORS
1. SAS
SAS has been the most common choice for organizations that are seeking an advanced analytics environment. It has 40,000 customers and the largest ecosystem of users and partners. Its strength is in the banking, insurance, business services and government sectors.
2. IBM
IBM has evolved its portfolio so that its capabilities in predictive analytics are accessible to various user types and skill levels. It is best known for its SPSS statistics and SPSS modeler products and solutions. It also addresses wide range of challenges relating to customers, operations, physical assets and risks.
3. KNIME
KNIME stands for Konstanz Information Miner and is a Zurich based company. It offers a free, open-source, desktop-based advanced analytical platform. it also offers a commercial, server based on-site / customer cloud solution that provides additional expertise functionality. It's experience is in life-sciences, government, education, banking and all communication sectors.
4. RapidMiner
RapidMiner is based in the US and it has a platform that is code-free UI and is available both in the cloud and an open source client / server platform. It also has a commercial edition that has the ability to work on larger data sets and to connect to more data sources. the platform is easily extendable via third party languages, analytic libraries, BI platforms, and web applications.
Read the complete research report at Magic Quadrant for Advanced Analytics Platforms
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