Did you know that a whopping 75% of knowledge workers do not use analytics to make critical business decisions? Ever wonder why?
Perhaps they don’t have the time or the right tools or the expertise necessary to perform effective analytics. Isn’t it time now for analytics to become easier, faster, and more accessible to the non-expert knowledge worker?
For the non-expert user, exploring data can be a challenge. Sure, you can dump your data into a tabular report, but once you start looking at more than 10,000 rows or even 100,000 rows of data, it becomes difficult to assimilate and make sense of it all.
Data visualizations can be a powerful way to understand your data. However, determining the most appropriate visualization for your data can be frustrating for the casual user if you don’t know the “rules” for creating them. What type of graph is best for displaying time-series data? What about categorical data? For some, time-consuming trial and error may be the only way to find the right visualizations to suit their needs—if they don’t just give up and go back to their non-visual spreadsheets.
What if you had built-in intelligence within your analytics software to help you select the best visualizations for your data to meet your specific needs?
Say hello to Spotfire Recommendations!
As you select more data, Recommendations updates to offer best practice visualizations such as graphs or charts, instantly eliminating time-consuming selection through trial and error. It also offers faster insights into your data with sneak-peak previews that allow you to quickly add interesting visualizations to your analytic workspaces. This enables users to go from data to dashboard in under a minute, regardless of their level of experience or expertise.
Why waste time reviewing thousands of lines of report data or sifting through several visualizations trying to find the right one to make the greatest impact on your presentation? With Spotfire 7’s built-in recommendations, anyone across your workforce can choose the best visualization the first time and become a data hero!