Aminolabs has evolved a lot over the last few years. Because of these changes they needed to completely revise their Microsoft Business Intelligence solution.
Business Analytics Strategy
The mission at Distrilog started after a roadmap study to investigate their needs for Business Analytics and improvements to their current reporting.
Years ago, an Oracle data warehouse was implemented at ASAP. But business evolved faster than the data warehouse and reports were incomplete or even incorrect.
In spring 2016, Cerm decided to enrich its product portfolio with an analytical solution 'as a service', on top of their business software offering.
The main deliverables of the BI program at Alpega are Tableau dashboards and a self-service reporting/analysis environment (mainly for internal/strategy).
IBM Watson is a family of applications which try to bring cognitive services in packages solutions. It includes sophisticated data discovery tools, predictive analytics tools and text-mining tools but also industry-specific solutions such as IBM Watson Health.
It's main components are:
This is probably Stephen Few's most popular book. It clearly explains how to design dashboards for optimal communication of the data and it also shows you lots of examples of badly designed dashboards and how to improve them.
Stephen Few is one of the world's most well-known gurus on data visualization. In this book, he gives a clear overview on how to format tables and matrices and how to design your visualizations for optimal communication. A must read for every business intelligence professional!
One of the best books around on dimensional modelling. Adamson takes you onto a tour around the different types of dimensions and fact tables and clearly explains how to design them and how to construct your ETL. At least as good as the Kimball books.
Window functions are a special construct in the SQL language that allow you to easily calculate more complex requirements, such as year-to-date calculations, moving averages, percentiles and so on.