Location, Location, Location: How Geoenrichment Can Improve Business Intelligence and Analytics
Geospatial data is growing in importance for business intelligence as users seek to make sense of diverse data. One element that many types of data have in common is location. Critical attributes of human, machine, and application-generated data become clearer when the source’s location—or movement from one location to another—is known and incorporated into reporting and analysis. Business users can spot trends, patterns, gaps, and other data relationships more clearly if they are able to visually integrate different types of data with maps. If organizations can enrich demographic, behavioral, operational, and other data with location information, they will be on a faster path to generate breakthrough insights and make smarter decisions.
December 7, 2017
Using Design Thinking to Unleash Creativity in BI and Analytics Development
Design Thinking methods can help organizations overcome the limitations of traditional BI and analytics development. Design Thinking has enabled retail, banking, and other types of firms to revolutionize how they develop products and services to deliver exceptional customer experiences. These methods offer similar potential for unleashing your organization’s creativity in developing applications and services that delight internal users. With organizations under pressure to deliver higher ROI from data—and frustrated by BI and analytics applications and services that don’t meet users’ requirements or realize value from all the data that they have—now is the time to consider new approaches such as Design Thinking.
December 6, 2017
Empowering the Citizen Data Scientist: How You Can Expand the Business Impact of Analytics
With analytics becoming increasingly essential to all aspects of business, many organizations are facing a crisis. They need data science so they can extract maximum value from data, but there are still too few data scientists to go around. Although data scientists continue to be important for advanced requirements, organizations can now democratize data science so that more executives, managers, and other business users can take advantage, empowering a new breed of “citizen data scientists.”
November 16, 2017
Three Ways to Succeed with Embedded Analytics
One of the most effective ways to spread the value and accelerate the adoption of business intelligence (BI) and analytics is to embed it into operational applications. End users and customers value the ability to model, monitor, ask, and answer questions throughout the workflow of familiar business applications. In this webinar, you will learn three ways BI and analytics are typically embedded into operational applications, new embedded use cases, and what to consider in your embedded analytics evaluation.
October 26, 2017