In part seven of this series, we looked at the second key stage within the analytics lifecycle (Analyze), which focuses on analyzing the data and identifying the insights most likely to create a positive business impact. In part eight we will examine recommendations and practical actions for the
This week’s IBM Big Data & Analytics hero, James Taylor, CEO of Decision Management Solutions, says that too many projects “start with the data [and] then hope that this will improve the business.” Taylor advocates for businesses to “begin with the decision in mind.”
Fluidity is the degree to which your cloud data analytics resource can be rapidly and cost-effectively repurposed and reconfigured to respond to and proactively drive change in a dynamic world. The fluidity of the logical data warehouse depends on core interfaces, infrastructure and tooling that
Kent Collins, Database Solutions Architect of BNSF and this week’s Big Data Hero, tells us of the profound value of data to the railroad and shares that the “data services area is the cornerstone of the railroad.”
Kenneth Cukier, data editor at The Economist magazine and co-author of book Big Data: A Revolution That Will Transform How We Live, Work, and Think, is this week’s Big Data and Analytics Hero. Kenneth insists that “the strategy is not the answer, but the data is, in a constant feedback loop. The
IBM invited developers and data enthusiasts to take a deep dive into real world civic issues using big data and IBM Bluemix's analytics for Hadoop service. They analyzed one of our curated datasets or brought their own and used Hadoop to create clickable and interactive data visualizations
With a lot of moving parts, CEVA was generating a lot of content. Pulling it all together provided flexibility and insight into the content CEVA already had. With IBM solutions, CEVA now has the data it needs to start driving key decision making for the future.
Make better business decisions with
Telecommunications companies are losing five percent of their revenue each year to fraud. Fraudsters are after free smartphones, long distance, premium services and confidential customer information resulting in $35 to $40 billion in losses from fraud worldwide.
Detecting and preventing fraud is
Big Data & Analytics Heroes
Farouk FerchichiChief Data Officer & Head of Business Intelligence at Toyota Financial Services
Farouk Ferchichi, chief data officer and head of business intelligence at Toyota Financial Service, and this week’s Big Data & Analytics Hero, shares insight into Toyota's journey to improve their customer experience by leveraging data and analytics.
Bernard Marr, one of the world’s top experts in big data and analytics strategy, made a return visit to our podcast to explain his vision of "SMART big data, analytics and metrics."
You may be surprised to learn that he doesn't really like "big data." In fact, he says "the challenge is to build the
Mark van Rijmenam, founder of Datafloq and this week’s Big Data and Analytics Hero, declares that “developing a big data strategy requires the organization to have a good understanding of what big data is, what it entails and what the different possibilities are.”