Analytics Week published an article on Improving Self-Service Business Intelligence And Data Science.
I like this observation:
“The crux of self-service platforms for BI and data science is that by eschewing ETL for quicker versions of transformation, leveraging in-memory technologies to access virtual copies of data, and re-writing queries from non-relational technologies into familiar relational ones, users can rely on their tool of choice for analytics. Business end users can choose from any popular Tableau, Qlik, or any other preferred tool, while data scientists can use R, Python, or any other popular data science platform.”
Lots of other good info in this article!
