Social Media Analytics
August 26, 2014
When data floods companies in such volume as recent years have seen, it can be difficult to know if big data is reliable data. This “data uncertainty” poses a problem for any company hoping to take advantage of their information’s potential. How can companies ensure that their data meets the confidence levels required to effectively apply it?
August 26, 2014
Terri Dean, Chief Membership Officer at the Girl Scouts of Eastern Pennsylvania and this week’s IBM Big Data and Analytics hero, shares how big data transformed how they retain members.
August 22, 2014
Not every customer or prospect is ready to buy. This means that when you engage you must do so in the context of the buyer’s frame of reference, not solely as a seller ready to make a deal. But how is this done using big data and analytics?
August 20, 2014
IBM is coming together with TED to host a first-of-its-kind event exploring ideas, insights and personal stories with a broad cross-section of IBM clients, partners, friends and IBMers. At this event, I will be speaking on IBM's big data approach to engagement analytics, and how it can only be successfully achieved by implementing a privacy by design methodology.
August 19, 2014
Timothy Llewellynn, CEO and co-founder of nViso, is this week's Big Data & Analytics Hero. He has found that utilizing the cloud for "big data is creating more opportunities for...clients" because of the massive scalability available to companies like his.
August 15, 2014
“When people use a service for free, they are de facto lab rats for market researchers.” This is one of the responses to the Facebook social experimentation revelations that makes more sense than much of the hyperbolic ones that are saturating all forms of media at the moment.
August 15, 2014
This Big Data & Analytics Maturity Model helps organizations assess their current capabilities in order to generate value from big data investments in support of strategic business initiatives. It does so by forming a considered assessment of the desired target state, identifying gaps and provides guidance on the steps required to realize this end state.
August 14, 2014
Working journalists are locked into a never-ending race against time. Not only are reporters always up against deadlines, but they are constantly scrambling to make sure they break the news before the competition. As more people turn to online news sources (including, but not limited to traditional news websites, streaming broadcasts and mobile apps) it's a bit bewildering to figure out who is scooping whom when on which breaking topics. Before long, we can expect to see the news services' data scientists build streaming tools that analyze how fast they and the competition are breaking news online, and bragging with data when they find themselves doing the scooping.
August 13, 2014
Your organization is likely experiencing your own transformation, including learning how to operate effectively in an environment characterized by high-velocity, high-volume flows of data, plus raised expectations on all fronts, from customer satisfaction to operational efficiency, financial performance, transparency and risk mitigation. If you want to be prepared to make the most of this moment in your industry, in your organization and in your personal career, be sure to join us at IBM Insight October 26 through 30 in Las Vegas.
August 12, 2014
The Retail Equation utilizes big data to predict and shape shopper behavior. Mark Hilinski, executive vice president of business development and strategic accounts and this week’s IBM Big Data Hero, shares how they “uncover those patterns of activity that were otherwise unseen in the data” and identify fraud.