Dimensional Insight recently sponsored the Gartner Data & Analytics Summit in Frankfurt, Germany. The two-day event provided dozens of educational sessions from Gartner analysts and attracted 750 business intelligence and analytics leaders from around the world.
Tweet: Highlights from the Gartner Data & Analytics Summit in Frankfurt
What did these thought leaders say about BI today and where analytics is headed? Here are a few big takeaways. (more…)
In this blog series, we’ve been busting some common healthcare analytics myths, and it’s time to bust yet another. So far, we’ve tackled these 3 myths:
Today’s myth: that the business intelligence (BI) tool that provides the slickest visualization is the best one.
Tweet: Healthcare analytics myths busted. The slickest BI tool isn’t always the best. (more…)
When it comes to business intelligence, it’s clear that the current modus operandi won’t cut it for organizations moving forward. Too much is changing: the amount of data within organizations, the way users are accessing and analyzing it, and much more.
With that in mind, here are 4 business intelligence trends that are shaping where the industry is heading in the near future. They are also impacting how we at Dimensional Insight are developing products and applications.
Tweet: 4 trends shaping business intelligence in 2015 and beyond
Business intelligence (BI) projects are notorious for being heartbreakers. All too often, BI buyers dive in head first without thinking about the goals they are trying to accomplish. Or they purchase a BI platform that doesn’t have the functionality they require. Of course, that leads to failure.
For Valentine’s Day, we created an infographic on 3 ways you can avoid BI heartbreak and how you can find true love when it comes to business intelligence.
Tweet: 3 ways to avoid BI heartbreak
2014 was a busy year for those of us who work in healthcare technology with hospitals having to manage changes to the meaningful use program, coming under continuing pressure to lower costs and readmissions while improving patient care and outcomes, and figuring out how to deal with an onslaught of data generated by an ever-increasing number of apps and devices.
As 2014 draws to a close, it’s time to reassess what has worked and what hasn’t worked in healthcare over the last year, and renew ourselves for 2015. (more…)
Healthcare organizations must handle a growing list of expectations (EHR implementation, meaningful use compliance, lower readmissions, etc.) To meet these expectations, providers must fully master the landslide of electronic healthcare data, both structured and unstructured, that is housed across multiple departments. It’s not an easy task.
Analytics (in theory) promises to help address these challenges, providing the insight to help reduce operational costs, optimize IT systems and help clinicians make the best decisions for their patients. Unfortunately, as we all know, “in theory” and “in practice” are two different things.
Tweet: 3 cornerstones for healthcare analytics success
Business intelligence (BI) software providers like to talk about the features and functions of their products. However, the real quality of your BI deployment often rests in the expertise of your BI vendor (or in-house BI specialist) and the ability to effectively translate your organization’s business rules into a BI solution.
In this blog post, we’ll discuss what business rules are, and give you some examples of how they need to be codified in your BI application.