Another great article by Bernard Marr. Bernard Marr is a best-selling business author, keynote speaker and consultant in strategic performance, analytics, KPIs and big data. He is one of the world's most highly respected voices anywhere when it comes to data in business. His leading-edge work with major companies, organisations and governments across the globe makes him a globally acclaimed and award-winning researcher, consultant and teacher.
This article was first published here. Below we only provide the highlights. I would add one item to this list of stupid claims: You need real data. In fact, you don't: many times, simulated data, if properly produced by the right data scientist using Monte-Carlo techniques, will work just as well, maybe even better, to test and prototype big data models. This is especially true if your real data set is not big enough, and you want to build a scalable solution.
Here's Bernard's list:
What other claims would you add to the list? Please share them with us in the comments below.