Organizations looking to transform their operations can turn to data science for an approach that offers the ability to predict events and behavior, prescribe actions, derive insights and make informed decisions. Learn more about how you can tap into the power of data science through predictive
Data science may be the en vogue profession descriptor for what many who work with statistics and statistical modeling do, but being a data scientist in this era requires a unique set of skills and experiences. See why data science may not be a crystal ball capable of predicting all events, but how
A growing number of law enforcement agencies are realizing the community-relations benefits of body-worn camera programs. But the volumes of video footage those cameras create can be challenging to access, manage, search through and more. One solution offers four good reasons law enforcement can
With so many different channels at their fingertips, millennial travelers have grown up exposed to, and interacting with, devices. At work and at play—particularly in the travel industry—they have their own preferences for researching, booking and experiencing their destinations. Gain a contextual
Predictive analytics provides real-time insights into your customers, employees and processes, fueling better decisions throughout your business. This presentation gives an overview of how predictive analytics can strengthen four key areas of your business for improved performance and competitive
An important ingredient for any successful business is its staff. And yet recent research shows that human resources ranks lowest among front office operations when it comes to using predictive analytics, particularly to recruit and retain the right professionals for the right positions. But that
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.
The craft of data science demands expert judgment every step of the way. See how data scientists can adopt a standard data science methodology that can harmonize steps among diversified teams for applying core concepts of data science, analytics and data management in the data science lifecycle.
SPSS Modeler was the star of its own ring at IBM Insight 2015. Take a look at what attendees learned about the latest and greatest capabilities of Modeler to see how Modeler can help your organization find its place in the insight economy.
IBM Insight 2015, officially taking place over five, jam-paced days, 25–29 October 2015, in Las Vegas, Nevada, can actually be an even longer event for IBM Business Partners. Take a glimpse at some of the great content around IBM SPSS Modeler and its innovative implementation in Insight 2015
At IBM Insight 2015, you’ll be able to discover the latest and greatest in the SPSS universe. A lot will be going on at Insight, so take care not to miss the sessions that will interest you most. Learn the ins and outs of SPSS sessions at Insight, allowing you to make the most of your Insight
Text mining is the next step in data mining, offering advanced capabilities for extracting meaning from vast, amorphous masses of data. Despite its complexity, text mining has much to offer businesses—and the list is growing. Discover what text mining could mean for your organization today.
Advanced predictive analytics requires data preparation strategies that can transform the data, enriching it to make it suitable for processing. Indeed, your choice of data preparation strategy can help you boost the accuracy of the outcomes you achieve.
Don’t find yourself falling prey to pitfalls when you implement a predictive analytics solution for your organization. Discover what mistakes to avoid when planning your implementation and setting strategy.