Leading media and entertainment companies need to stop guessing and start knowing. They need the ability to analyze all available data, from inside and outside the enterprise, as it is generated, in real time, at high velocity. They can no longer wait to analyze data after it’s been processed and
IBM Counter Fraud Management introduces advanced analytics and deep investigative analysis throughout the entire life-cycle of counter fraud operations. This enables organizations to aggressively handle fraudulent activity while pro-actively anticipating, preventing and continuously adapting to
The IBM Institute for Business Value Global Consumer Study indicated that consumers are “asking for tomorrow today.” With the proliferation of social networks, mobile devices and data, it’s easy to understand why customer demands and expectations continue to expand while their patience shortens: “
The newest IBM Global Consumer Study reveals that in a single year internet commerce jumped nearly 100 percent, with 27 percent of retail purchases made online in 2013 versus 14 percent in 2012. Along with this remarkable channel-shifting, a historic convergence of technologies is changing how
In order to deliver deeper insight, organizations must be able to leverage and integrate the growing amounts and different types of data together to reveal different perspectives and so, get closer to the “truth." Transactional, freeform, sentiment, clickstream data and more help create a richer
How can a painful experience at the Department of Motor Vehicles point the way to a more efficient, effective government? A key lies in the ability to anticipate rather than just respond. This blog illustrates how three government organizations from around the world are using IBM’s Big Data &
The Internet of Things (IoT) has paved the way for new business opportunities and new client experiences that transform our experience in many ways. Read on to explore how you can leverage the IoT for informed decision making and local analytics by connecting the unconnected. .
According to our research customers come second only to the C-suite in terms of the strategic influence they wield. When asked, “Who has the most influence on your strategic vision and business strategy?” 55 percent of interviewed CEOs cited customers. In our upcoming #CXO Twitter chat we discuss
When people say about some found object, "don't touch it, you don't know where it's been," they might as well being speaking of data. You can't use any data with confidence until you ascertain where it came from, who handled it and what they did with it.
Today, the Wall Street Journal reports that more than 30 billion devices will be wirelessly connected to the Internet of Things by 2020. Machine data generated in the IoT comes from thousands of sources with applicability much broader than retail. Some narrowly define machine data as logs or sensor
Customers demand control of when, where and how they interact with brands—not just on websites, but across all channels. Understanding and managing customer preferences requires listening, really listening, to customer opt-ins and opt-outs, monitoring their behavior and knowing the type of
Having been around the big data space for a number of years, you hear a lot of questions that revolve around “What do I do with this data that I’ve stored in Hadoop?’ or, more importantly, “How do I use this data that is now sitting here?” The fact is, there's a lot of hype surrounding big data,
Machine data is all around us: logs, sensors, GPS devices and meters to name a few. The enormous growth of machine data has become a major driver of big data solutions and a challenge for many organizations. The complex and diverse nature of machine data leaves many organizations unable to leverage
Let me begin with a story from my childhood. I grew up in India and, back in the early 80s, when Indian telecoms did not have a direct dial for international calls. My family used to call my uncle who was studying at M. I. T. and the call process was fairly complicated: we would call an