Blogs

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

Immunizing your business against toxic customer relationships

September 11, 2014
The customer is always right, even when some of them are totally unreasonable and, perhaps, a bit off their rocker. 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

Are you leveraging citizen developers?

September 9, 2014
Pacesetters have partnering in their DNA and leverage citizen developers to drive outstanding business results.  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

Consumer engagement in healthcare

September 8, 2014
Is your healthcare organization engaging with customers the way you would expect to be engaged? Read how big data and analytics is helping healthcare organizations understand the consumer and fuel smarter engagement strategies through multiple social, mobile and traditional channels.  Read More

Decide: Making a choice in the business moment

September 8, 2014
In this post, the fourth installment of our five part series focused on real-time actionable insight, we explore how to optimize decision management by infusing context-aware streaming analytics into all decisions. Using IBM’s four pillar approach (Sense, Orient, Decide and Act) you can be assured that your decision will result in smarter business processes and more intelligence operations. Read More

The next generation of in-memory computing has arrived

Eight features that make BLU Acceleration faster, simpler and more agile

September 5, 2014
In today’s fast-paced and information-driven business environment, big data makes the world go around. Being competitive means finding a way to quickly turn massive amounts of information into actionable data. In-memory computing can be a difficult task to negotiate, especially with the time it takes to process massive data sets and the associated costs. Thanks to BLU Acceleration from IBM these hurdles are a thing of the past. Read More

Who's afraid of the big (data) bad wolf?

Are you?

September 4, 2014
The success of big data projects often depends on having access to robust, scalable data integration. You would be hopelessly naive if you didn't acknowledge the fact that integrating huge amounts of data into "data lakes" can be quite burdensome, costly, complex, time-consuming, labor-intensive and so on. Rest assured that big data integration doesn't need to be burdensome, especially if you're wielding the right platforms, tools, personnel and best practices. If you're suitably empowered, there's no need to fear the big data wolf at the door. Read More

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