Business Intelligence Systems

How are we performing as a company?

Who are our customers?

Are we secure?
Baby elephant with mother
The Big in Big Data is Relative.
Customer Intelligence

Operations Intelligence

Security Intelligence

Formulating Predictions

Business Intelligence Systems

While Business Intelligence (BI) and Big Data (BD) have been making big headlines in both business and technology media they are not new phenomena. Business Intelligence has been around in one form or another since businesses have been keeping records. Reviewing financial records to produce standard accounting reports, combing sales records to get a profile of customers and their habits, these are examples of Business Intelligence. Data has been growing and accumulating since the adoption of information technology by the business community. Both structured data such as databases and unstructured data such as computer logs, emails and text files are not recent developments.

Two factors have come have contributed to the current excitement in BI and BD. The first is the significant change in the rate of growth of the data. The data is now growing exponentially. As more and more technology is put to use more and more data is generated. As the world becomes increasingly connected more data is generated. The amount or volume, the rate of accumulation or velocity and the different kinds of data or variety are growing at an ever increasing rate. The second is the advancements of hardware and software products now provide businesses with the capability to store, manage and examine all this volume and variety of data. This includes computer logs, industrial devices data, text files, spreadsheets, emails and other unstructured data formats.

We like to divide a Business Intelligence system into three main componnets, data management, analysis and analytics.

Data management is the collection, storage and organization of all the raw data associated with a business. As we mentioned before the BI arena has benefitted greatly from the ability to harness the vast amount of data that a business generates. The volume, velocity and variety of this data provides a business with the ability to exam itself from different perspectives. The advancement in the software products that collect, store and organize this data has provided businesses with the opportunity to this in a more cost effective manner.

Analysis is the ability to mine through the data to find important nuggets of information or to find patterns within the data to provide insight into workings of the business. Analysis tells us what has or is happening within the business. It is information about the past and present state of the business. At CCMI we organize analysis into three areas, Customer Intelligence, Operations Intelligence and Security Intelligence. Visit our analysis web page for further detail and discussion of these three areas.

Analytics is the predictive aspect of Business Intelligence. With the development of analytics we can begin to look into the future of the business. We can develop rules for reacting to events or patterns. We use analytics to build models or simulations of the business. Visit our analytics web page for further detail and discussion of how rules based software and models can help predict future business behavior.