Student attrition is a serious concern for colleges and universities around the world. Analytics and data can help higher education institutions manage attrition by helping to align all data to get a comprehensive view of each student, and then using analytics to determine who may be at risk. Once
The Internet of Things is providing organizations with new opportunities to expand their business offerings, grow and retain valuable customers, and improve existing processes to increase efficiency and reduce costs. With an estimated 24 billion connected devices by 2020, the Internet of Things
Operational analytics are critical to business success. Whatever back-end system powers them—online transaction processing database, data warehouse, data mart, and so on---operational analytics can deliver the insights that drive real-time decisions in today’s dynamic business environments.
Did you know that the convenience and speed of mobile is now applied to the work of policing? Criminals are often experts at utilizing technology to commit crime. Now our police officers have mobile speed and ease of use to help them make data-driven decisions on the front lines.
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
Describing intelligence software has gotten a whole lot easier as Hollywood continues to produce gripping spy shows like The Blacklist, Homeland and CSI. But while the layman description may have gotten easier, the real threatscape continues to evolve as criminal and terrorist networks continue to
According to Gartner, digital business is the “creation of new business designs by blurring the digital and physical worlds." There are three key foundational shifts that are making the digital business phenomenon real. Interestingly, these tectonic shifts are also driving faster adoption of
In part six of this series, we finished our exploration of the first of three key stages within the analytics lifecycle (Acquire) and suggested recommendations and practical actions for that stage. In part seven we will look at the study’s second key stage within the analytics lifecycle, Analyze,
It’s that time of the year again: when fans begin lining up at the supermarkets to plan football weekend festivities. Let's take a look at how can predictive analytics be used in analyzing everything from performance to parking at the big event.
In part five of this series we explored Acquire, the first of three key stages within the analytics lifecycle, which provides the ability to acquire and integrate data quickly—foundational to creating an analytics speed advantage. In part six we will look at recommendations and practical actions
In this era of big media, more and more digital photos are, by default, being uploaded to the cloud soon after they’re captured. But who has the time and, considering the swelling magnitudes of video and photo contents in the world, where would we ever find enough humans to review, curate and
In part four of this series we introduced three key stages within the analytics lifecycle to outline how leading organizations are outpacing the competition. In this post, part five, we will explore the first of those stages (Acquire) which provides the ability to acquire and integrate data quickly
This is part four in a series presenting, in small easily consumable bites, findings and insights from the IBM Institute for Business Value’s latest study and paper - “Analytics: The speed advantage - Why data-driven organizations are winning the race in today’s marketplace." In part three we
Let's explore in more detail the final two shifts highlighted in the new IBM Analytics study, “Analytics: The speed advantage - Why data-driven organizations are winning the race in today’s marketplace," including the transformation of business processes with digital capabilities.
In 2014, there were several important shifts that occurred in the world of big data that business executives around the globe cannot afford to ignore. In part one we introduced four transformative shifts affecting the fast-paced digital marketplace; now in part two we will take a closer look at the