Blogs

Taking media analytics over the top isn’t as easy as it should be

Taking media analytics over the top isn’t as easy as it should be

January 29, 2016 | by Graeme Noseworthy, Senior Content Marketing Manager, Communications Sector, IBM Analytics
The media and entertainment industry faces rising challenges when it comes to the delivery of over-the-top (OTT) content—audio, video and other media streamed over the Internet. Take a look at two key issues that are at the root of these challenges despite the advanced analytics platforms that...
Building smart business on the four pillars of predictive analytics

Building smart business on the four pillars of predictive analytics

January 29, 2016 | by James Kobielus, Big Data Evangelist, IBM
Smart predictions can spell the difference between whether your company succeeds wildly or falls by the wayside. Get the details on four strategic pillars for smart, proactive business through predictive analytics deployment in a series of new blog perspectives.
Predictive analytics: Know what’s coming down the pipe in the oil and gas industry

Predictive analytics: Know what’s coming down the pipe in the oil and gas industry

January 28, 2016 | by Erin Monday, Social Media Manager, Internet of Things, IBM
In the face of low prices and a seemingly permanent state of flux, increasing numbers of companies in the oil and gas industry are turning to predictive analytics and maintenance, among other such cutting-edge technologies, to protect their margins. Discover how innovation, driven by need, is...
HealthToon: Natural disaster response times shrink with analytics

HealthToon: Natural disaster response times shrink with analytics

First responders benefit from real-time information to save more lives

January 28, 2016 | by Oliver Clark, Social Media Specialist for Public Sector, IBM
How can organizations tasked with responding quickly to crisis events and saving lives empower its first responders with real-time information? See how International Medical Corps applied advanced analytics to shrink response times in emergencies.
Predictive analytics: Harnessing big data to boost customer satisfaction and reduce churn

Predictive analytics: Harnessing big data to boost customer satisfaction and reduce churn

January 28, 2016 | by Christine O'Connor, Writer and Content Strategist, IBM Information & Analytics Group
Predictive analytics is bringing businesses and their customers together, creating value in the intersection of the two. Discover how you can transform your customer engagements by providing the marketing interactions your customers desire.
Brand loyalty: How to build your customers' loyalty with big data

Brand loyalty: How to build your customers' loyalty with big data

January 28, 2016 | by Barbara Thau, Business and Technology Writer
How does analytical data assist CMOs in finding the right approach to create brand loyalty among consumers?
Automotive business intelligence speeds ahead with predictive maintenance

Automotive business intelligence speeds ahead with predictive maintenance

January 27, 2016 | by Erin Monday, Social Media Manager, Internet of Things, IBM
Certain automotive makers are getting ahead of the competition by switching to the use of predictive analytics—rather than reactive analytics. In a recent case study conducted in partnership with Sweden’s Volvo Group, new data insights provided new opportunities for cost savings and operational...
How to improve bank fraud detection with data analytics

How to improve bank fraud detection with data analytics

January 27, 2016 | by Phil Britt, Financial Services Writer
Financial institutions need comprehensive analytics to build a strong bank fraud detection strategy. Advanced analytics software provides the tools necessary for banks to recognize and act on suspicious patterns, quickly notify customers of fraud incidents and position themselves for faster...
Predictive analytics: The key to reducing outages and increasing customer satisfaction

Predictive analytics: The key to reducing outages and increasing customer satisfaction

January 27, 2016 | by Jennifer Goforth Gregory, Technical Writer
No one likes it when their phone doesn't work. Using predictive analytics, you can take action to prevent outages and increase customer satisfaction.
Big data analytics adds new market plays for the video game industry

Big data analytics adds new market plays for the video game industry

January 27, 2016 | by Andrew Popp, Portfolio Marketing, Hadoop/BigInsights, IBM Analytics
In the highly competitive video game industry, keeping players engaged and loyal is crucial in capturing a major share of this lucrative market. Doing so involves using big data analytics to harness innovation and understand what players expect.