In his recent blog post, Wayne Eckerson opens:
“The promise of self-service analytics is almost too good to be true. Business people get the information they want, when they want it, how they want it”
From there, he goes on to explain how he has seen this vision fail inside organizations, in a post which nicely articulates some of the pitfalls of self-service analytics.
However, I want to take a step back and look at his opening premise. Particularly, the aspect summarized as: Self-service analytics gives business people information “how they want it”. Continue reading
In a recent post on this blog, my colleague Donald MacCormick, picked-up on a comment from Howard Dresner’s latest Wisdom of Crowds® Business Intelligence Market Study: “for the first time, operations moved ahead of executives in 2016 as the leading driver of business intelligence initiatives”
When discussing the findings of this report on Howard’s regular Friday #BIWisdom tweetchat, one contributor said: “More people are recognizing that the value of their data increases when put in the hands of people on the front lines.”
This is a sentiment we at Antivia wholeheartedly agree with, and so, in this post, we’re going to look at some examples of how we can put information into the hands of our front-line workers: Continue reading
Do you have time set aside in your business intelligence (BI) project plan to train your business end-users? If you do, then I would urge you to think hard about what you are doing, because the need for business user training may well be an indicator that your project will not be the success you are hoping for.
As Mico Yuk is fond of saying, there is only one success metric which matters in BI: User Adoption. And, there are three reasons why the need for business user training kills adoption: Continue reading
A while back we worked on a project to improve visibility into sales metrics for a large manufacturer.
Historically, the finance team pulled together a spreadsheet each month which they shared with the sales team. Sales people and their management used this information to track progress against target and to plan their activities for the following month.
The spreadsheet was complex. It was built from multiple data feeds and contained large numbers of interdependent calculations. Each month, it required a Herculean effort to pull the required information together on time and to validate it, ready for the sales team to use. Our remit was to show how we could help reduce the time and effort required to produce this information using dedicated business intelligence software. Continue reading