Blogs

Streamline planning and forecasting: Software selection best practices

Streamline planning and forecasting: Software selection best practices

August 20, 2015 | by Peter Collins, Financial Services Specialist, IBM
In a marketplace of rapid, unprecedented change and sustained volatility, traditional planning, budgeting and forecasting processes may not keep pace with shifting trends. However, new advanced planning and forecasting analytics software enables financial professionals to support an enterprise’s...
Emergency management plan priorities: How data analytics are changing rescue work

Emergency management plan priorities: How data analytics are changing rescue work

August 20, 2015 | by James O'Brien, Business and Technology Writer
Responding to an emergency is difficult. How can analytical data determine what to prioritize when managing an emergency?
Creating an analytics superteam: 4 critical success factors for your analytics solution

Creating an analytics superteam: 4 critical success factors for your analytics solution

August 20, 2015 | by Chris Gillar, Content Marketing Manager, IBM Analytics Platform, IBM
Moviegoers aren’t alone—analytics needs a superteam, too. Learn how four critical success factors come together to create more than the sum of their parts.
Predictive analytics: Perceptions and realities

Predictive analytics: Perceptions and realities

August 20, 2015 | by Nancy Hensley, Director of Technical Marketing, IBM Analytics, IBM
Inaccurate perceptions of predictive analytics are common in the business world. In reality, predictive analytics is straightforward to understand, can leverage existing skillsets in business and IT organizations, and can deliver value in most industries and lines of business. Getting started with...
How to improve customer experience: Tips for telecommunications providers

How to improve customer experience: Tips for telecommunications providers

August 20, 2015 | by Jeff Bertolucci, Telecom Writer
People love their smartphones, but they're not especially thrilled with their wireless providers. That's the key takeaway from the 2015 American Customer Satisfaction Index (ACSI) survey of telecommunications customers. The wireless industry was among the least favored groups in the study, with...
Customer relationship management data will help utilities reboot their outreach

Customer relationship management data will help utilities reboot their outreach

August 20, 2015 | by Todd Wasserman, Technology Writer
Customer relationship management data will offer a way for utilities to redefine their relationships with customers. Traditionally, the utilities sector has been somewhat shielded from economic struggles, but in 2015, customers have options like solar panels that are getting cheaper by the year and...
What real-time data brings to in-store experiences

What real-time data brings to in-store experiences

August 19, 2015 | by Ritika Puri, Consumer Products Writer
As markets become more competitive and fragmented, CPG brands need mechanisms to connect with consumers faster. That's why CPG leaders are building strategies around real-time data to optimize micromoments in stores. Here are a few example initiatives that are bringing brands closer to their...
Mobile network security: How to use data analytics to prevent false charges

Mobile network security: How to use data analytics to prevent false charges

August 19, 2015 | by Jennifer Gregory, Technical Writer
The FCC estimates that telecommunications providers lose $150 million each year from subscriber fraud through cloned cell phones, data fraud on SIM cards and cell phones purchased with fake names. RCR Wireless News reports that estimated global fraud loss in the telecommunications industry...
Applying data analytics to personalize care for every cancer patient

Applying data analytics to personalize care for every cancer patient

August 19, 2015 | by Bernhard Warner, Veteran Journalist and Partner, StoryTK
Medical experts agree that personalized care is integral to the fight against cancer, but providing such care is easier said than done when more than 14 million people are diagnosed with cancer each year. In this podcast, hear how one of the world’s leading cancer researchers plans to use big data...
Driving next-generation predictive business

Driving next-generation predictive business

August 19, 2015 | by James Kobielus, Big Data Evangelist, IBM
Although predictions can be life-or-death propositions for businesses, inspiring confidence in business plans can be highly challenging if they can’t be justified with high-quality predictive models. Discover why tools, platforms and best practices for building, refining and putting predictive...