No matter the industry, organizations are increasingly seeing the merits of learning more about their customers to inform the generation of intelligent, targeted offers. Take a look at five key questions commonly heard from executives in a range of industries about establishing predictive customer
Big data and analytics technology is driving business forward, the newest natural resource in the ever-changing world of computing. Yet even in a constantly evolving industry, certain trends stand out. Take a look at what’s on the horizon for big data and analytics, and find out how it could affect
The traditional banking model is changing as fiercer competition and heightened customer expectations of digital banking put the customer experience at the top of the priority list. Banks are leveraging predictive analytics solutions to enhance targeting via customer segments and to provide custom
Why are people talking about Apache Spark? It’s because many organizations are using the myriad features of this open source engine to boost their predictive analytics processing. The result? Better, deeper and faster data analyses with reduced coding time and effort.
As a financial advisor, you probably hear your clients, but do you really listen to them? When you develop a superior listening ability, success follows. Fortunately, analytics offers a new and better way to listen to your clients, resulting in unprecedented insight based on data from client
IBM provides the latest predictive analytics techniques to help organizations along on the journey to big insights. Innovative approaches in the IBM solution portfolio include sophisticated tools for geospatial analytics, text analytics and entity analytics. Take advantage of IBM’s active and
Although weather is one of the most significant influences on business performance in a wide array of industries, it is also one of the least predictable. Join us at “Hack the Weather” to learn how smart data applications could usher in the next stage of meteorological forecasting.
No less than traditional scientists, data scientists need a guiding strategy for solving problems. Such a methodology should directly address the problem at hand and should provide a framework for obtaining answers and results. Learn more about the Foundational Methodology for Data Science and how
The ten-year anniversary of Hurricane Katrina and its impact on New Orleans compel Jen to reflect on how technology and data analytics have made great strides in enhancing governmental preparation and response to natural disasters.
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
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
Organizations may frequently fall into the trap of trying to get an advanced sales performance management (SPM) solution in operation as soon as possible. However, initiating an implementation stage too soon, too hastily or at the expense of best practices can cause companies to overlook critical
There is data accumulating in school systems and the classroom that has vast potential to build stronger curricula and better learners. The time for transforming instruction through education analytics has come.
CPG leaders need more than just data to increase sales through analytics. One of the most important steps that an organization can take is to separate noise from true opportunity assessments. Here are three ways CPG brands can bring more focus to their revenue optimization strategies.