It is able to anticipate customer and market needs through predictive analysis. With the application of BI, the company can predict the success of its decisions, which represents a strong competitive advantage.
What are the areas of application of Business Intelligence?
Business Intelligence was originally focused on the accounting and financial field, which processed a large amount of data. With the advent of Big Data, it has gradually been extended to other areas of the business to support better decision making in the business verticals.
BI systems can be applied to customer relationship management, sales force management, supply chain management and human resources. There are even ready-made libraries of indicators that are developed to monitor these different activities.
How to implement Business Intelligence in a company?
There are four steps to implementing a BI solution in a company to transform data into relevant information that can be used for decision-making purposes.
The first step is to identify the data source(s) to be collected.
Next, there is the implementation of an extraction tool called ETL (Extract, Transform, Load). It enables the raw data to be retrieved from the various sources in the company, sorted and transformed so that it is ready for use in decision-making.
The third stage is data storage. This involves centralising all the processed data in databases.
Finally, the last step is the restitution of the data. With the help of data visualisation tools, the data is brought back in the form of reports and dashboards. The information is then presented in a usable form, ready to be analysed by decision-makers and data specialists.
How to train in Business Intelligence?
To become an expert in Business Intelligence, there are many analytical training courses that allow you to access the professions of data scientist, data miner, BI consultant or even project manager in business intelligence.
To train in BI, ɫƵ offers a Master of Science in Digital Transformation Management. This master's degree is composed of 5 blocks training various skills in Business Intelligence, data governance, analytics, innovation strategy and design thinking. These specific modules can be used to obtain a professional title (RNCP Project Manager) or a Master of Science.
BI is a complex field that relies on numerous technologies related to data analysis, data science and data engineering. A real decision-making tool, BI is a major asset for large companies. In order to succeed in a Business Intelligence project, the deployment requires employees who are competent in the field in order to better understand it. ɫƵ's online training courses are accessible to both young graduates and professionals. To train in Business Intelligence in good conditions, ɫƵ gives you its advice on how to organise yourself for distance learning.