Welcome!

Machine Learning Authors: Pat Romanski, Liz McMillan, Yeshim Deniz, Elizabeth White, Zakia Bouachraoui

News Feed Item

SPSS Predictive Analytics Remains Top Choice of Data Miners According to Popular Independent Survey

SPSS Predictive Analytics Ranks Number One for Second Straight Year for Its Wide Acceptance, Strong User Interface and Ease of Use

SPSS Inc. (Nasdaq: SPSS) Predictive Analytics data mining software has been ranked as the number one choice of data mining professionals worldwide for a second consecutive year. The 2008 Data Mining Survey published by Rexer Analytics recognizes SPSS as the top data mining solution used to drive strategic decisions, improve operational processes and resolve business problems.

SPSS Predictive Analytics data mining software was identified as the primary software package used by more data miners than any other software package, beating out SAS and other competitors. SPSS also ranked as the most commonly used Predictive Analytics software (55 percent) as respondents placed a high value on dependability of the software, ability to handle large data sets and quality of output.

Karl Rexer, Ph.D., founder and principal of Rexer Analytics, said, The SPSS Predictive Analytics suite of products is clearly the preferred choice of data miners worldwide. For two consecutive years SPSS has earned the top ranking because of its ability to quickly resolve critical business issues and make an impact on the overall performance of their organizations.

Organizations realize tremendous value from SPSS data mining software, a component of the SPSS Predictive Analytics product suite, through increased user productivity, new insight into business problems and powerful visualization. With the ability to automate modeling identifying the best analytic models and combining multiple predictions for the most accurate results businesses gain incredible behavioral insight that drives ROI as they focus on acquiring, growing and retaining valuable customers, and detecting fraud and reducing risk.

SPSS data mining software also easily integrates with a customers existing infrastructure and other SPSS Predictive Analytics products, including SPSS text mining to extract key concepts, sentiments and relationships for the analysis of unstructured data, and the Predictive Enterprise Services platform. This platform allows organizations to easily manage analytical results, automate analytical processes and deliver predictions and insight into business processes wherever needed.

Colin Shearer, senior vice president of market strategy at SPSS, said, Once again, were delighted to see our products recognized as leaders in the annual Rexer Analytics survey. The focus on driving strategic decisions and improving operational processes matches exactly what were seeing in the market that turning Predictive Analytics results into action is the key to driving ROI. Thats why we put so much emphasis on ensuring our software and solutions deploy easily into business processes and systems.

About Rexer Analytics

Rexer Analytics is a data mining and CRM consulting firm offering advanced analytic solutions to clients in a variety of industries, including finance, technology and retail services. For more information about Rexer Analytics or for a summary report of its Second Annual Data Miner Survey, please visit www.RexerAnalytics.com.

About SPSS Inc.

SPSS Inc. (Nasdaq: SPSS) is a leading global provider of Predictive Analytics software and solutions. The company's Predictive Analytics technology improves business processes by giving organizations forward visibility for decisions made every day. By incorporating Predictive Analytics into their daily operations, organizations become Predictive Enterprises -- able to direct and automate decisions to meet business goals and achieve a measurable competitive advantage. More than 250,000 public sector, academic and commercial customers rely on SPSS technology to help increase revenue, reduce costs and detect and prevent fraud. Founded in 1968, SPSS is headquartered in Chicago, Illinois. For additional information, please visit www.spss.com.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
Isomorphic Software is the global leader in high-end, web-based business applications. We develop, market, and support the SmartClient & Smart GWT HTML5/Ajax platform, combining the productivity and performance of traditional desktop software with the simplicity and reach of the open web. With staff in 10 timezones, Isomorphic provides a global network of services related to our technology, with offerings ranging from turnkey application development to SLA-backed enterprise support. Leading global enterprises use Isomorphic technology to reduce costs and improve productivity, developing & deploying sophisticated business applications with unprecedented ease and simplicity.
While a hybrid cloud can ease that transition, designing and deploy that hybrid cloud still offers challenges for organizations concerned about lack of available cloud skillsets within their organization. Managed service providers offer a unique opportunity to fill those gaps and get organizations of all sizes on a hybrid cloud that meets their comfort level, while delivering enhanced benefits for cost, efficiency, agility, mobility, and elasticity.
DevOps has long focused on reinventing the SDLC (e.g. with CI/CD, ARA, pipeline automation etc.), while reinvention of IT Ops has lagged. However, new approaches like Site Reliability Engineering, Observability, Containerization, Operations Analytics, and ML/AI are driving a resurgence of IT Ops. In this session our expert panel will focus on how these new ideas are [putting the Ops back in DevOps orbringing modern IT Ops to DevOps].
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understanding as the environment changes.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.