ISG Software Research Analyst Perspectives

Operationalize Predictive Analytics for Significant Business Impact

Posted by ISG Software Research on 24 October 2015

One of the key findings in our latest benchmark research into predictive analytics is that companies are incorporating predictive analytics into their operational systems more often than was the case three years ago. The research found that companies are less inclined to purchase stand-alone predictive analytics tools (29% vs 44% three years ago) and more inclined to purchase predictive analytics...

Topics: Big Data, Microsoft, Predictive Analytics, SAS, Social Media, alteryx, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Operational Intelligence, Oracle, Information Optimization, SPSS, Rapidminer

Business Case for Predictive Analytics is Simpler Than You Think

Posted by ISG Software Research on 16 October 2015

Our benchmark research into predictive analytics shows that lack of resources, including budget and skills, is the number-one business barrier to the effective deployment and use of predictive analytics; awareness – that is, an understanding of how to apply predictive analytics to business problems – is second. In order to secure resources and address awareness problems a business case needs to...

Topics: Big Data, Microsoft, Predictive Analytics, SAS, Social Media, alteryx, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Operational Intelligence, Oracle, Information Optimization, SPSS, Rapidminer

IBM Advances Business Experience in Using Advanced Analytics

Posted by Robert Kugel on 03 July 2014

The developed world has an embarrassment of riches when it comes to information technology. Individuals walk around with far more computing power and data storage in their pockets than was required to send men to the moon. People routinely hold on their laps what would have been considered a supercomputer a generation ago. There is a wealth of information available on the Web. And the costs of...

Topics: Big Data, Mobile, Predictive Analytics, Sales Performance, Social Media, Customer Experience, Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, IBM, finance, Sales Performance Management, Social, Financial Performance Management, SPSS

IBM Brings New Innovation in Analytics for Business Insights

Posted by ISG Software Research on 18 December 2013

Like every large technology corporation today, IBM faces an innovator’s dilemma in at least some of its business. That phrase comes from Clayton Christensen’s seminal work, The Innovator’s Dilemma, originally published in 1997, which documents the dynamics of disruptive markets and their impacts on organizations. Christensen makes the key point that an innovative company can succeed or fail...

Topics: Predictive Analytics, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, IBM, Information Applications, Data Discovery, Discovery, Information Discovery, SPSS

IBM SPSS Analytic Catalyst Makes Sophisticated Analytics Accessible

Posted by ISG Software Research on 08 August 2013

IBM’s SPSS Analytic Catalyst enables business users to conduct the kind of advanced analysis that has been reserved for expert users of statistical software. As analytic modeling becomes more important to businesses and models proliferate in organizations, the ability to give domain experts advanced analytic capabilities can condense the analytic process and make the results available sooner for...

Topics: analytic catalyst, driver analysis, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, IBM, SPSS

Big Data Analytics Faces a Chasm of Understanding

Posted by ISG Software Research on 22 February 2013

The challenge with discussing big data analytics is in cutting through the ambiguity that surrounds the term. People often focus on the 3 Vs of big data – volume, variety and velocity – which provides a good lens for big data technology, but only gets us part of the way to understanding big data analytics, and provides even less guidance on how to take advantage of big data analytics to unlock...

Topics: Big Data, Microsoft, SAP, SAS, Excel, designed data, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Information Applications, Location Intelligence, Operational Intelligence, Oracle, SPSS

Revolution Analytics Rides R Language into Mainstream Business

Posted by ISG Software Research on 08 January 2013

Revolution Analytics is a commercial provider of software and services related to enterprise implementations of the open source language R. At its base level, R is a programming language built by statisticians for statistical analysis, data mining and predictive analytics. In a broader sense, it is data analysis software used by data scientists to access data, develop and perform statistical...

Topics: Big Data, SAS, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Management, Operational Intelligence, SPSS

IBM’s SPSS Shows Chops in Predictive Analytics

Posted by ISG Software Research on 01 October 2012

IBM acquired SPSS in late 2009 and has been investing steadily in the business as a key component of its overall business analytics portfolio. Today, SPSS provides an integrated approach to predictive analytics through four software packages: SPSS Data Collection, SPSS Statistics, SPSS Modeler and SPSS Decision Management. SPSS is also integrated with Cognos Insight, IBM’s entry into the visual...

Topics: Predictive Analytics, Social Media, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Customer & Contact Center, IBM, Workforce Performance, SPSS

IBM Encourages Adoption of Predictive Analytics

Posted by Robert Kugel on 28 June 2012

Our benchmark research on business analytics finds that just 13 percent of companies overall and 11 percent of finance departments use predictive analytics. I think advanced analytics – especially predictive analytics – should play a larger role in managing organizations. Making it easier to create and consume advanced analytics would help organizations broaden their integration in business...

Topics: Big Data, Performance Management, Planning, Predictive Analytics, Marketing, Modeling, Sales Forecasting, Analytics, IBM, Uncategorized, SPSS