Big Brain Business Intelligence

To decide the direction to take your business in you need access to the right information.

Our consultants can work with you to understand the possible directions you may take and the questions you will need to ask to make these decisions. We can then look at what data you have, find any gaps where additional data needs to be recorded and work out how it can be brought together to answer them and ensure the right people see the right information.

Business Intelligence is often seen as a costly exercise only for large organisations, and some of the language used, such as "data warehousing" implies projects taking many years of work. This is not true and it can be used by very small companies with limited budgets. It is possible to start on a small scale and grow a solution over time if it yields the right answers.

Business Intelligence can often be combined with a development project. If you are building a new feature of your web site or new application to streamline your operations, you can understand how effective it is. If it is included early enough, you can use the results to influence later stages of development.

Typically we build solutions based on the Microsoft stack, although should other technologies give you faster answers to your questions more effectively we can use these.

Example - Financial Reporting

Big Brain Intelligence has created a data warehouse and business intelligence system for a global product testing company to report effectively on global financial data. This was constructed in SQL Server and SQL Server Analysis Services and allowed complex queries to be run by financial analysts in a matter of seconds which previously took days or were not possible at all.

Big Brain Intelligence works with big data

Example - Wine Trading

Big Brain Intelligence has worked on a data warehouse and business intelligence system for a wine trading company using ASP.NET and SQL Server 2008 R2. Combined data from various transactional systems was imported into a data warehouse (using SSIS). Cubes were constructed on this (using SSAS). Reporting was achieved using SSRS for regular reports and a facility was developed to allow analysts to run ad-hoc reports in Excel.