As the information economy continues to evolve, significant tension is growing between two opposing forces. On one hand, it is essential to keep increasing the empowerment of knowledge worker teams across the organization. For companies to run lean and mean, to ensure that they capitalize on any and all opportunities that may emerge in the market, and to rigorously drive down the risks associated with process or compliance failures, they must keep raising the bar when it comes to what users can do individually and collectively from their PCs, tablets and smartphones.
Posts Tagged ‘Big Data’
IBM and Vivisimo: Making big data easier to navigate for clients
Wednesday, April 25th, 2012I am honored to announce that Vivisimo has signed a definitive agreement to be acquired by IBM. Over the past 12 years, the Vivisimo team has been dedicated to building an amazing product, helping customers extract tremendous value out of their information. We can be proud of what we have accomplished and IBM’s decision to acquire us is a remarkable validation. By combining the brand and breadth of IBM with the nimbleness and expertise of Vivisimo, we intend to create the most robust and comprehensive Big Data solution on the market: A platform capable of searching and analyzing large volumes of fast changing structured and unstructured information where it lives. A platform on which we can quickly build high-value applications like CXO.
Wrangling Big Data with Enterprise Search
Wednesday, April 4th, 2012In an earlier blog post titled, “Use the Four V’s to Better Understand the Big Data Ecosystem,” I discussed the concepts of volume, velocity, variety and variability that represent the measurable dimensions of big data. I then reviewed some research on how the various tools that make up the big data “ecosystem” address these dimensions. Further vetting of these ideas has helped to fuel discussions about the role of enterprise search in addressing big data with customers, partners, analysts and a number of big data practitioners I met at the recent Strata conference in Santa Clara, California. One of the key takeaways of this research is the real-time element that search can add to a big data deployment—more on that later. As promised in my initial post, I developed the topic of search and the value it can bring to big data into a Vivisimo White Paper titled, Optimizing Big Data.
The Revelation of Data
Tuesday, February 21st, 2012The artist James Turrell once said, “Light is not so much something that reveals, as it is itself the revelation.” This is such a profound statement. Given the influx of data and the spotlight on leveraging Big Data, I immediately paralleled light with information. If we were to sit and think about it, information in the right context, at the right time, is indeed light.
Operationalize Insights to Drive Business
Tuesday, February 7th, 2012According to Annette Franz [@Annettefranz], “A key component of a VOC Initiative is getting the right feedback at the right time from the right customers. Then glean insights, create action plans, and drive it all back to the right departments and the right employees who take action at the right touch points at the right time.” This was the basis of a recent #CXO chat as we discussed, “Operationalize Insights to Drive Business” with guest Annette Franz, Seasoned Client Services (CX, VOC, SaaS) executive.
Use the Four V’s to Better Understand the Big Data Ecosystem
Tuesday, December 20th, 2011There is remarkable unanimity among industry analysts and thought-leaders on the nature of big data. Rather than a phenomenon of volume alone, big data is almost universally described as having the dimensions of velocity and variety as well. The term velocity recognizes the speed with which many types of big data, such as sensor output or social network interactions, are generated. Variety recognizes the many forms that big data can take, from very compact “blips” from sensors or clickstreams to text documents to multi-gigabyte geospatial images.
Leveraging Information Assets to Optimize Customer Value
Monday, November 21st, 2011When asked to identify the greatest barriers to improving multichannel customer experience, “Thirty-four percent of respondents identified difficulty unifying different sources of customer data.” This would indeed be a barrier as understanding your customers’ needs is intrinsic to delivering an exceptional customer experience. To understand the customer, organizations must take each morsel of information left at touch-points across the organization and weave them together to create the customer’s story. The need for information optimization and big data applications then becomes vital. I had the honor of being in the hot seat as we explored this topic at one of our tweet chats. Here is a glimpse into our discussion:
Monetizing Customer-Relevant Big Data
Monday, November 7th, 2011Continuing the “Big Data” discussion Stacy started last week, I would like to touch on the area of monetizing customer-relevant big data.
Businesses of all sorts are accumulating data that does not easily lend itself to conventional database/data warehousing models. What they do and don’t do with this data can have a significant impact on their bottom-line business performance.
But it’s good to clarify two points about big data. First point: big data doesn’t just mean lots of data. According to the definition originally put forth by Gartner analyst Doug Laney in 2001, big data involves three attributes: volume, velocity (i.e. the speed at which it is accumulated and/or loses its freshness), and diversity of sources.
