Business Intelligence Developer is a person who designs and imlements technology-driven processes for analyzing data and presenting actionable information that helps executives, managers, and other end users make informed business decisions.

Definition of Business Intelligence Developer

BI includes a variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, prepare it for analysis, develop and execute queries, and create reports, dashboards and data visualizations to make the analysis results available to both corporate decision makers and operational staff.

The term was first used in Hans Peter Luhn’s article “A Business Intelligence System”, published in 1958. It was established and coined by the Gartner Group in the early 1990s.

Business Intelligence then developed relatively independently of “Data Warehousing”, “Enterprise Content Management” and “Knowledge Management”. Business Intelligence systems are understood as analytical information systems, especially in German-speaking countries. In the meantime, data warehousing and business intelligence systems have experienced tremendous growth, increasing significance for information management and a few paradigm shifts and expansions.

Why is Business Intelligence important?

Originally, BI tools were mainly used by data analysts and other IT professionals who performed analysis and created reports with query results for business users. The classic areas of application are primarily the finance and controlling departments. However, executives and employees are increasingly using BI platforms themselves, in part due to the development of self-service BI and data collection tools and dashboards.

In recent years, IT-supported business intelligence systems have established themselves in companies in order to cope with the ever-increasing volume of data.

Especially in connection with Big Data, the analytical component is becoming more and more important. In addition, there is the paradigm shift from the automatic system for disseminating information to the various departments of industrial, scientific and government organizations to business performance measurement.

Online Analytical Processing (OLAP) or Business Analytics.

OLAP covers the entire spectrum of data preparation, processing and provision for reporting. At the core of BI solutions are OLAP tools that enable you to analyze multidimensional data in real time or simultaneously with other analytical techniques.
In general, the more options you have to isolate and display data from a dataset (the OLAP cube), the more flexibly you can interpret data.

Reporting and Queries.

Reporting and query is another focus of BI software that generates and sorts complex data. Today, modern BI solutions have intuitive queries that enable users to map complex data without SQL writing or programming skills. OLAP automatically prepares the data records for each new query. This enables companies to use BI tools company-wide and beyond the traditional area of the IT department.

Digital or visual dashboards.

Data visualization is the final stage of reporting and indeed one of the most identifiable elements of BI solutions. Managers and non-technical users often view BI from this perspective only. Advanced visualizations include spatial reports, thermal maps, and more.


BI solutions are based on different data sources to gain meaningful insights into why integration is critical. In fact, many vendors bundle BI tools with other business applications such as CRM, Salesforce automation, and shopping cart software.
But not all have an API integration that allows you to develop apps for the software. If you’re a developer, there are BI solutions with open APIs and support for Ruby, Java, and JavaScript.