How do businesses address the challenges of growing volume and variety of data? How can I introduce new data sources and workloads into my architecture? How do I achieve better time to value and agility in my infrastructure?
If you're wrestling with these and other related questions, I recommend
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
Leading organizations in financial services, telecommunications, retail, healthcare, digital media, insurance and other industries are outperforming their competition by generating new, actionable insights from big data. There are three dimensions in their performance that indicate a correlation
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
Many energy and utility companies get their first introduction to big data after they implement a smart meter project. While traditional meter reading occurs once a month, a smart meter can stream data every 15 minutes, or 2,880 times a month. That’s a whopping 287,900 percent increase in data that
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
Be sure to access this week's featured webcast - “The Simple Appliance for Serious Analytics.” - on IBM’s Big Data Virtual Event Center. Just 15-minutes in length - the webcast highlights IBM's comprehensive portfolio of data warehousing and analytics solutions.
Attendees will learn how IBM’s
It’s no small secret that digital data presents clear and present challenges for marketing organizations.
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.
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