Create New Business Models

Big Data & Analytics Heroes: Phillippe Chartier

September 16, 2014
Phillippe Chartier, information delivery team lead at Canadian National Railway and this week's Big Data & Analytics Hero, tells us how they used to rely on monthly data reports, but now they operate more efficiently—in near real time—with predictive analytics. Canadian national Railway applies logical insights from their data to save fuel consumption, predict shipments and keep their trains running on time.  Read More

How big data and analytics are making retailers more customer-centric

September 12, 2014
Today retail customers are more empowered, instrumented and interconnected socially. With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. In order for retailers to capitalize on this, they need ways to collect, manage and analyze a tremendous volume, variety, velocity and veracity of data. By using the valuable insights from this data, businesses can better personalize marketing, improve campaign effectiveness, optimize product assortments and perfect merchandising decisions, thus removing inefficiencies in distribution and operations.  Read More

An industry vertical analysis: Telecommunications and big data

September 11, 2014
Big data is poised to reshape the way we live, work and think. The telecommunications sector, which has been slow to realize the shifting ground, is catching up to redefine the customer digital experience, using big data and analytics. Read More

Transforming the telecommunications industry with customer centricity

September 11, 2014
With mobile devices becoming an integral part of our daily lives, communications service providers have the most comprehensive view of a subscriber’s usage, behavior, lifestyle preferences, current and future needs. Telecommunications organizations can transform their customer care, marketing and network operations by leveraging all of the subscriber data to deliver highly targeted and personalized campaigns for higher revenue and profits, cultivate strong brand loyalty to reduce churn and achieve lower operational costs while maintaining quality of experience for subscribers.  Read More

Big Data & Analytics Heroes: David Speights

September 9, 2014
Retailers today have an insurmountable amount of data to digest and act on quickly not just to personalize the customer experience, but also to prevent fraud. This week’s IBM Big Data & Analytics Hero, David Speights, chief data scientist at The Retail Equation, shares some insights with us. Read More

How leading media companies increase customer value

September 9, 2014
Throughout the year, I’ve been participating in a series of day-long “Art of the Possible” sessions with clients that run the gamut of media and entertainment. I’ve met with cable companies, broadcast TV providers, movie studios, sports networks and beyond. Read More

Understanding and embracing the Internet of Things

September 3, 2014
The “Internet of Things” (IoT) describes the phenomenon of “ubiquitous connectivity” with physical objects, made possible by the widespread use of sensory devices and wireless technologies throughout our environments. Read More

Big Data & Analytics Heroes: Sharath Cholleti

September 2, 2014
We have a lot of data today, both structured and unstructured, that, when used on time, at the right time, in real-time can save lives. Sharath Cholleti, this week's Big Data and Analytics Hero, gives us a glimpse of how they use data for better patient care. Read More

Orient: Analyzing data in the business moment

September 2, 2014
Big data can be turned into big business opportunities, but can also send you on a wild goose chase. Using IBM’s four pillar approach (sense, orient, decide and act) you can correct course and shift from reactive to proactive effectively orienting your organization to the business moment. Read More

How next-generation infrastructure informs better, faster decision-making

August 28, 2014
Data is emerging as the world’s newest natural resource and the basis for a new kind of competitive advantage. Yet, for many organizations, the increasing volume, variety and influx of data is straining their IT infrastructures—traditional infrastructure was never designed to handle the magnitude of complexity of these new workloads. To keep up with the fast pace of today's business climate, it is essential for organizations to capitalize on next-generation infrastructure that integrates analytics-optimized systems and technologies to dynamically meet the demands of a data driven world.  Read More

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