Geof manages two completely diverse groups of users and business cases that his team has to cater to – the university information systems and the health system. Listen in to discover some of the methods they used to deal with not only the disruption, but also with promoting user adoption.
At TE Connectivity, Naveen Narra manages the Business Intelligence, architecture and big data solution teams for over 4,000 BI Users. Naveen and his team exemplifies “analytics success.” Their secret is a proven approach that focuses on building momentum with tactical wins. Here are 10 steps that he used to gain buy-in from executives to tackle more strategic big data opportunities using modern in-memory analytics tools like SAP HANA.
In 2016, the battlefront for analytics supremacy moves to the cloud. Pure cloud players like Salesforce.com and Amazon (AWS), are serious entrants into the cloud analytics business while enterprise mega-vendors like Microsoft, SAP and Oracle re-invent their BI businesses for the cloud. Forrester recently reported in its tech spending forecast 2016: “The amount of money […]
The demand for geospatial analytics is a byproduct of increasing volumes of spatial data we create. In 2016, more BI and analytics stakeholders will push for spatial analysis as a key requirement. Our co-creator of Analytics on Fire and maps guru will expand on one of our most popular 2015 articles, “3 Steps to Mapify your Big Data KPIs.” LIVE […]
An “Ugly BI App” is more than a bad color palette and poor composition. It is a negative visceral reaction that business users have to Business Intelligence. Many organizations have realized that even well-designed solutions fail to gain acceptance and adoption. The top 3 reasons why Ugly BI Apps get rejected: 1. The solution is […]
In 2015, most organizations are working to harness modern data visualization capabilities to bolster adoption and Business Intelligence. The sheer number of resources (books, articles, papers) for learning how to use visualization for data science, business analytics, and media are plentiful. How has data visualization changed in 2015? While the principles that guide data visualization […]
Henry David Thoreau isn’t known for visualizing big data. But he could have been. The 19th-century American transcendentalist, author, poet, philosopher, and naturalist understood what it takes to uncover a data story. He understood what most dorky data scientists, savvy IT strategists, and almighty analysts don’t get today – when he said; Capacity for clarity […]
Internet of Things is creating new opportunities to better understand how customers, employees, and assets behave through device generated data. As consumers, we are participants in the “Internet of Everything” boom by using connected smartphones, cars, and home appliances. The data we generate every day is invaluable for enterprises that can effectively analyze and communicate the impact of IoT trends. […]
As your enterprise conforms to an “internet of things” world, your customers, employees, and seemingly unlimited connected devices are generating tons of location data. Machine and device generated data is a breeding ground for new big data opportunities, and over 80% of this data has a location attribute. Why Location Matters? Your customers and employees […]
Maps and Location Intelligence will be a critical decision-making tools for your organization if they aren’t already. Maps are not like pie charts and gauges, but they are often treated as executive eye candy by Business Intelligence practitioners. It is well documented that data viz experts hate pie charts because they are ineffective communication tools. Exploring the following questions […]
