- 7/8/2015 10:04:25 AM
@James I agree. The user friendly interfaces have to be developed by skilled analytics experts who are familiar with the needs of the particular users. Different types of interfaces will be needed to meet the requirements of different users. And like you mentioned there has to be someone in the background who can manage all these systems. It is great that we have come a long way from typing in Dos commands.
- by Jamescon, Editor
- 7/8/2015 8:22:20 AM
@Seth. Right, the technology bar is being raised, and not just for the tech professional. The average business user in a range of departments is expected to utilize an ever-changing selection of job-specific tools extending far beyond Office, Firefox and email.
- by Jamescon, Editor
- 7/8/2015 8:19:58 AM
Good point about analytics becoming user friendly. If you want to put data into the hands of decision makers, you don't have to have someone in the middle of the process interpreting results for them. They need things like dashboards or basic queries that they can do on their own.
However, you still need someone to manage and prepare the data, and to set up those user-facing applications, and someone to be the pioneer exploring new types of apps and reports that require a mix of technical and business knowledge. Whether that is done by internal technical/analytics teams or through external services will be something to watch.
- by SethBreedlove, Data Doctor
- 7/7/2015 11:09:42 PM
The expectations are getting higher and higher. Not too long ago if you knew Microsoft Office software, you were on top of the game, now it wouldn't even get you through the front door.
I find it is becoming that way with many analytical programs today.
- 7/6/2015 9:53:49 PM
@James The day that analytics become as user friendly as the Internet should not be far away. I remember the first Internet searches with gopher and Archie weren't that user friendly. And only a select few accessed the Internet. However, today almost anyone could learn to use it. Will a day like that come for analytics?
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- by James M. Connolly