In 2014, there were several important shifts that occurred in the world of big data that business executives around the globe cannot afford to ignore. In part one we introduced four transformative shifts affecting the fast-paced digital marketplace; now in part two we will take a closer look at the
For insurance companies, the integration of big data and analytics solutions with telematics technologies offers important opportunities to extend the use of telematics data beyond usage-based insurance (UBI) and improve competitive differentiation.
Data refinement is one of the most important revelations in the big data market. The idea is simple: you want to take advantage of and use all sources of big data. But when each individual user needs only information relevant to them, what’s needed is a data refinery. It automatically cleans,
The mobile market is continually growing with “mobile-based payments in the United States expected to reach $142 billion in volume in 2019.” With mobile comes mobile data and the grave need for security. Vijay Dheap, global product manager for IBM MobileFirst, declares that “mobile security
The case is clear: the faster you can turn raw data into intelligent insight, the quicker you can get ahead of your competitors.
This theme comes through loud and clear in the latest analytics study from IBM’s Institute for Business Value. Nonetheless, only 10 percent of organizations fit into the
When people say that "data is the new oil," they're usually making a general statement on how deeply modern organizations depend on data to drive transactions, analytics and processes in general. It's in that context that many organizations decide to appoint something called a chief data officer (
Supporting the social initiatives important to IBM employees and their families and friends is important to IBM. Now, big data technology is giving IBM and its people another opportunity to serve our communities and the world.
A common myth is that only large organizations need a data scientist. Bu the fact is, every company of every size in every industry can benefit from better analyzing the data they already have and incorporating new data sources to gain deeper insights. Who helps make this happen? It’s that data
Companies are in a race for growth—to capture new customers, retain those they have, provide a better customer engagement experience and improve business operations. More data, better data, analyzed with in-memory speed, helps you make better decisions faster.
Learn more about IBM Big Data &
Dirk deRoos tells us about the cost effectiveness of Hadoop. “One way that“Hadoop is being valuable to a business is in looking at what Hadoop can do that a lot of existing systems can’t do.”
Hadoop can be used as a landing zone to explore data and determine what is of value to send to the
Big data and analytics are being used today by more and more people throughout an organization to make operational and strategic decisions. This means that data and analytics, and the insights they provide, are critical to making the right moves that grow revenue, better engage customers and
Big data is everywhere and in everything. It’s infused in phones, cars, roads, power lines, waterways, food crates and innumerable other items you’d never think of as computers. Technology is more powerful and accessible than ever before, but there are still many civic challenges in need of
Data is the new natural resource, and those who can harness it will be leaders. But, there are many myths about how to make data work for an organization.
During the Information Management Keynote at Insight 2014, IBM busts these myths. In her post, Harriet Fryman, vice president of Information
Businesses have figured out that analytics are in their future, but what does it mean to be an analytically driven organization? What data and analytics do you need?
With today’s technology, you can do so many new things that were not possible two or three years ago. Let’s start thinking about