I was reading the recent blog from journalist and consultant Bernard Marr on 'Beyond Big Data: Why data diversity is a crucial success factor’ – and it really made me think about which data sets many businesses are often missing that could give them even greater, workable insights?
Would love to hear about any current examples of or plans to use different types of data sets that you have?
And don’t miss the original blog for more background on the importance of variety in data: https://thedataliteracyproject.org/posts/beyond-big-data-why-data-diversity-is-a-crucial-success-factor
Just wanted to share this nice synonym I discovered when rewatching the movie Moneyball. For those who don't know the movie yet: Moneyball is about the gamechanging insight to address baseball from a statistical and analytical perspective rather than opinions from "experts/trainers" and making decisions on who to buy based on gut feeling.
In this specific scene I think it is nice to see that there is just a misunderstanding of data analytics and the approach to buy players based on data analytics and statistics, rather than that the players are young or popular.
This could have easily been a team meeting where one person brings in a dashboard and others are questioning his insights because they don't understand the data and the insight go against their gut-feeeling
We are at the start of our enterprise journey towards data literacy. As part of our planning stage we are looking at how we might track individuals journeys through the learning tracks. This is to formulate part of our measurement of progress / success of our Data Literacy program.
From what I can see there is no way of being able to get an enterprise view of progress through the free learning material on the Qlik Continuous Classroom. How are people managing and reporting against this at an enterprise level?
Interested in your experiences and recommendations.