In his book, The New Killer Apps, Chunka Mui, innovation and business strategy consultant, asserts that the conventional wisdom about start-ups being destined to out-innovate big, established businesses isn't true. Read this excerpt to learn how large companies can disrupt too by thinking big,
Do you find yourself increasingly having to make decisions amid uncertain conditions? The advanced capabilities offered by IBM SPSS Statistics aim to make Monte Carlo simulation a part of your risk analysis by bringing these two worlds together in a single software solution.
Spreadsheets are excellent tools as far as they go—but how far can they truly go? If you’re pushing your spreadsheet-based solutions beyond their viable limits, then they might be doing more harm than good. Discover what considerations you shouldn’t ignore when using spreadsheets for statistical
Data analytics is no longer an either/or choice. With the integration of IBM SPSS Statistics and R, you can bring together the statistical analysis and data management capabilities that have helped so many data scientists gain insight after insight from their data.
As they compete in the modern business environment, companies are increasingly looking to sophisticated analytics and cognitive capabilities to help them gain an deep understanding of what matters to their clients. By knowing their customers well, organizations can provide targeted, personalized
In October 2014, Forrester Consulting worked with IBM on a commissioned study to analyze the total economic impact that IBM’s Information Management solutions have on three specific big data use cases to help its customers solve important business problems.
Through interviews and data aggregation
How to define data strategy, align business goals and prioritize winning projects
How should a chief data officer (CDO) start formulating and deploying a strategy to put data at the center of the business?
This ebook provides insights and recommendations for the CDO in three areas: strategic
Nucleus Research examined XO Communications’s deployment of IBM Business Analytics and found it enabled XO to identify customers with a high likelihood to churn. XO client service managers used this predictive analysis to proactively contact those customers, improving customer retention and
For banks today, having more ways to communicate with customers is a good thing. But it has also made it harder for banks to figure out where and how to most profitably commit their marketing resources.
Leveraging predictive analytics, First Tennessee Bank is applying the ultimate acid test. It’s
Using IBM Smarter Commerce technology to help ensure timely response to policyholders.
“When customers contact us through their iPhones, Facebook, Twitter, LinkedIn or email, they receive the same timely attention as when they call the company or go to our web portal.” —Werner Kruck, chief
AARP needed to transform its traditional BI infrastructure into a dynamic, blazing-fast environment which could assist with improved member documentation and recognition, accurately match services and product offerings to member needs and deliver value-added packages to targeted customer
Big data and analytics technology can reap huge benefits to both individuals and organizations—bringing personalized service, detection of fraud and abuse, efficient use of resources and prevention of failure or accident. So why are there questions being raised about the ethics of analytics, and
This new commissioned study conducted by Forrester Consulting on behalf of IBM dives deeper into the trends surrounding big data and analytics to strategically examine the goals, challenges, and impact associated with customer analytics.
This white paper outlines the latest customer analytics opportunities and challenges facing sales, marketing, and customer service decision makers. It draws on IDC's research into big data and analytics (BDA) business and technology trends and provides recommendations for organizations looking to