Customers want their experiences to flow smoothly all the way downstream to happy outcomes. And you want that too, of course, as long as their personal outcomes sync up with your business’ outcomes: retention, sales, profits and so on.
Customer experience professionals are everywhere these days, or
Matt Aslett, research director at 451 Research, wrote the foreword for the new book Harness the Power of Big Data, and he shares here some of his thoughts on the topic - and the book.
‘Big Data’ is a curious phrase. Since I first encountered it some three and a half years ago, it has come to be one
The Saïd Business School at the University of Oxford and the IBM Institute for Business Value conducted this global survey of more than 1100 business and IT executives. The study highlights the phases of the big data journey, the objectives and challenges of organizations taking the journey, and
Organizations today are collecting tremendous volumes of data, generated by a wide variety of sources, often at extreme velocities. This is “big data”—the millions of stock trades, call detail records (CDRs), social media posts and patient test results produced every single day. Leading
Steve Mills, senior vice president & group executive, IBM Software & Systems Group, discusses big data and analytics with press and analysts at the Information On Demand 2012 conference.
During the conference IBM announced a new digital marketing system and big data software designed to
Von McConnell, Executive Director of the Innovation & Advanced Labs at Sprint, discusses how his company uses big data and analytics at the Information On Demand 2012 conference.
During the conference IBM announced a new digital marketing system and big data software designed to help
Information On Demand 2012 (IOD) was a sensational event from start to finish. This was my sixth consecutive IOD, and my first as an IBMer. Long before I joined IBM, I always looked forward to IOD. This annual confab is always a great opportunity to drill deeper into the myriad information
In Part I of this series, we looked at the key considerations for an analytic enterprise to stay competitive in today’s world. To enable those considerations, one needs to define the imperatives for the supporting big data platform. In this post we will explore what that big data platform manifesto
As consumers spread their attention across a wide variety of channels and devices, key sources of digital data such as websites, online ads and mobile apps, spin off massive amounts of data. This is the gold that all marketers seek to mine, refine and use to drive up the bottom line. IBM teamed
Big data is everybody’s priority these days, and it’s always exciting to see what different organizations are doing with it.
A few weeks ago, I had the pleasure of participating in a live streaming video panel on business applications of big data in various industries. The broadcast, sponsored by
In June, we asked the very important question, how does big data affect our world?
In industries throughout the world, executives recognize the need to learn more about how to exploit big data. In fact, 28 percent of organizations today are already tackling these big data questions. But despite
IBM’s Institute for Business Value (IBV) and the University of Oxford just released their information-rich and insightful report “Analytics: The real-world use of big data.” Based on a survey of over 1000 professionals from 100 countries across 25+ industries, the report provides insights into
Healthcare has become a social business. The evolution towards social media, consumer expectations for quality and value in healthcare, and the urgent need to get healthcare costs under control are transforming the way healthcare is obtained, delivered and paid for. Social business strategies can
Today’s organizations understand the value of analytics. Recent studies, such as the joint IBM/MIT Sloan Management Review study, The New Intelligent Enterprise, have shown that strong positive correlations exist between market leadership and an enterprise’s analytics IQ.
Indeed, it’s fair to say
Your customers really don’t care how smart your data scientists are. Customers don’t spend much time contemplating how much work those data scientists might have put into tuning the analytic models that power your channels. And they probably wouldn’t listen if you tried to impress them with the