The IBM Institute for Business Value (IBV) is embarking on its fourth annual survey on analytics and big data. Rebecca Shockley, Global Research Lead at IBV, gave a preview of the objectives for the 2013 survey. She explained they will be looking into how organizations are executing and what it
What if insurance companies could simultaneously improve customer satisfaction, retain valuable policyholders and maximize cross- and up-sell opportunities?
To achieve these goals, insurers need ways to anticipate customer needs and determine the next best action for each individual customer.
Diego Saenz, the founder of Data Driven CEO, has over 20 years of experience as a management consultant, corporate executive and entrepreneur. In his current role, he provides Big Data Analytics consulting, speaking and training. He talked with us on the topic “Can Big Data Stem Churn?”
Cyberspace is today’s new battleground and cyber security continues to be a top imperative for both enterprises and governments. Recently, the U.S. Pentagon announced plans to boost their cyber security team amid a string of attacks, including one that wiped out more than 30,000 computers at a
Big data is a new natural resource. Like other natural resources, big data needs to be successfully mined, refined and delivered in order to create value.
Organizations first need to mine big data through Exploration. Exploration is finding, connecting and understanding the value of all available
Chief marketing officers are evolving to bring creative- and data-driven marketing and advertising together in order to deliver relevance to consumers and discover deeper insight into audiences. In this podcast, Graeme Noseworthy explains the top issues that CMOs reported in a research study they
Companies that insure our road vehicles request information including the driver’s age, gender (no longer legal in Europe), claims history and the ZIP or post code where the vehicle is parked at night. On this narrow data set, insurers construct an analytic model used to assess and price risk. A
Data Exploration is one of the top five business use cases for big data. Stacy Leidwinger, product marketing manager for IBM Data Explorer, describes the challenges that many organizations face, and the four key steps they should take when beginning a data exploration project.
To learn more about
Organizations are discovering that their continued relevance, and even survival, depends on harnessing big data to better understand their customers, reduce risk, and discover entirely new opportunities for growth in a changing world. On April 3rd, IBM announced exciting innovations that help
Earlier this month, IBM Chairman, President and CEO, Ginni Rometty, spoke to the Council of Foreign Relations (CFR) about creating a Competitive Advantage in the Era of Smart.
According to Ginni, data is the “basis of competition in the ‘smarter’ era.” In the new ‘smarter’ landscape, organizations
In last month’s post, I talked about how cognitive computers, like IBM Watson, have the ability to do what the earliest underwriters did: approach each risk individually and, based on historical learning, apply reason and judgment to determine a rate. Cognitive computing allows insurers to analyze
Audience measurement is experiencing dramatic change from a focus on the channel to a focus on the individual as marketers and advertisers work to understand the 360-degree view of the customer. What advantage does this provide to marketers and advertisers? If marketers need data-driven audience