Eileen McDaniel, Ph.D. and Stephen McDaniel
This article was originally published in late 2013 in
The Data Warehouse Institute FlashPoint Newsletter
Earlier this year, we presented this topic in a talk to an independent group of data professionals. When we noticed it was mistakenly promoted as “Accidental Analysts: What are they doing TO my data?”, we had to laugh! Unintentional typo or not, we’ve found that data warehousing specialists often wonder what businesspeople are doing on their end. Who are accidental analysts, how do they analyze data, and what aspects of the data warehouse can data professionals evaluate and improve upon so that they are set up for success instead of frustration?
Who are accidental analysts?
Many business analysts either lack formal education in data analysis or took courses that didn’t fully prepare them for the challenges of real-world data analysis. They are asked to quickly answer business questions so that managers, colleagues and clients are able to identify and implement a plan of action. After teaching analysts in many organizations from all skill levels and backgrounds, we discovered that a major obstacle to obtaining good results is that many are uncertain of the steps to take when analyzing their data. They need a plan of attack, regardless of the analysis software that they are using!
The Seven C’s of Data Analysis
The scientific method has been used by scientists for hundreds of years to design and analyze experiments. In our training and books, we adapted this method to fit business analysis,