At Dekanox we think Data Warehousing is probably the most important activity in a Business Intelligence project. Indeed it creates a solid ground for your BI reports and dashboards, your operational reports, and even more important, it helps you identify the core concepts -and language-used thoughout your company.
The purpose of Business Intelligence is to support and facilitate better business decisions. BI allows organizations access to information that is critical to the success of multiple areas including sales, finance, marketing, and a multitude of other areas and departments. Effectively leveraging BI will empower your business with increased actionable data, provide great insights into industry trends, and facilitate a more strategically geared decision-making model.
Operational reporting focuses on producing detailed reports of day-to-day organizational operations. These reports include data pertaining to customers, products, in-depth examinations of processes, and even accounting. These reports come in different time intervals, but generally focus on the short-term.
At Dekanox we think that encoding the same information in two different operational systems is a waste of time, and a source of inconsistency. That’s why we offer our customer the possibility to define “master” systems where they encode their master data, and we take care of replicating it to the other operational “slave” systems, automatically.
We love to find the logic in the chaos. At Dekanox, BI is more than IT tools used to provide cool visualizations. It’s also the epicentre of where different concepts start to relate to each others. It’s the entry point for a common language, to help different departments better interact with each others. For us, BI is the backbone that supports the optimization of your whole workflow.
Data Quality Assurance.
Last but not least, at Dekanox we think that the quality of the data in the operational systems is by far the most important factor of success of BI and operational reporting projects. We develop “Data quality” reports, sent to data stewards who will take care of solving the problems (missing data, wrong data, incomplete data, etc.)