Business intelligence (BI) is a combination of business analysis, data mining, data visualization, infrastructure, and best practices that help organizations make more informed decisions. It is the study and management of data using various technologies and strategies to make well-informed business decisions. Professionals in this field rely on predictive analysis, which is information created by applying data science in varying degrees of complexity, in their daily work. Business intelligence tools also have applications outside of business, ranging from urban planning to fighting wildfires, making it a transferable skill.
BI is best used to provide business decision makers with predictive analytics that serve as a basis for solving real-world problems and important business decisions. The term “business intelligence” (BI) refers to the innovations, applications and methods used to collect, mix, research, analyze and present business data. There is a wide variety of careers in business intelligence, enough to offer a unique option for even the most diverse skills, levels of experience and interests. Having business experience is really useful, as it can help to understand business issues, understand the business itself, and create ideas for stakeholders. Key skills for a BI professional include basic concepts of SQL tables, data, update, insertion and delete anomalies, relational databases, SQL functions, scalar and aggregate functions, error handling, multi-line statement table, SQL Server Management Studio, sorting function, clustered indexes, Transact-SQL queries, column store views, business analysis, Tableau, Agile and Microsoft Excel.
Others may focus more on the business side, interact with decision makers on a regular basis, and dedicate themselves to solving real-world problems rather than strictly data-related ones such as improving the algorithms used to create predictive analysis. Becoming a business intelligence analyst involves taking the tools of a data scientist and using them to inform and train business decision makers as they dedicate themselves to problem solving. A BI analyst may need a strong understanding of data analysis, business insight, and specific industry knowledge depending on the position. BI teams can include visualization and data analysts, data engineers, business intelligence analysts and data scientists. If you want to become a financial analyst, data scientist, business analyst, data analyst, business intelligence analyst, business executive, financial manager or entrepreneur then having knowledge of statistics, mathematics probability SQL Python programming Python for finance R machine learning TensorFlow Tableau SQL integration Python Tableau Power BI credit risk modeling credit analysis data literacy product management Pandas Numpy Python programming Data Strategy is essential. Since data science has applications in every industry it's possible to become a business intelligence analyst in a variety of environments ranging from large cities to rural areas.
