Transforming your business with big data and analytics is an ongoing journey, not a one-time event. This white paper outlines a five-step progression that helps you identify big data and analytics opportunities, establish models, prove value, scale and transform to a data-driven culture.
TEOCO’s assurance and analytics solutions, powered by IBM PureData System for Analytics, powered by Netezza technology, enable CSPs to access and analyze massive amounts of data to uncover the source of cost and network issues.
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 combining a granular understanding of the needs of customer segments with real P&L data to optimize its marketing spend, focusing on programs that deliver the highest ROI.
First Tennessee’s ability to target its campaigns more intelligently has increased its response rate by 3.1 percent, cut key marketing costs by nearly 20 percent and enables the bank to get the most from its resources.
Senior leaders at Westfield Insurance realized that future success depended on gaining a better understanding of the performance of its business and its network of agents. However, driving a more analytical approach to decision-making would require not only new technology, but also significant cultural change.
Westfield began its analytics transformation by creating an Analytics Resource Center (ARC) and building a powerful data warehousing and analytics platform under the sponsorship of its CEO. With the help of IBM® Global Business Services®, the ARC team worked with the IT team and internal business partners to develop a range of new analytics applications.
What the Miami-Dade Police Department is doing with advanced analytics to close the toughest robbery cases is one facet of a broader Smarter Cities strategy followed by Florida’s largest county.
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
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 operating officer, Security First Insurance
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 demographics.
With IBM Big Data & Analytics, AARP modernized its business intelligence infrastructure ultimately achieving a 347% ROI in three years.
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 its related technology, big data?