This meant that if someone had a follow-up question about the report they received, their request would go to the bottom of the reporting queue and they would have to start the process over again. Realize that artificial intelligence and machine learning will continue to grow, and businesses can integrate the insights from AI into a broader BI strategy. Diverse industries like retail, insurance, and oil have adopted BI and more are joining each year. If, for example, you are in charge of production schedules for several beverage factories and sales are showing strong month-over-month growth in a particular region, you can approve extra shifts in near real-time to ensure your factories can meet demand. Visual analytics keeps you in the flow of data analysis. However, companies can use the processes of analytics to continually improve follow-up questions and iteration. Improved sales information. And leadership can track if a region's performance is above or below average and click in to see the branches that are driving that region's performance. This means that IT can govern data access while empowering more people to visually explore their data and share their insights. Because the tools are typically fairly simple, using BI as a big data front end enables a broad number of potential users to get involved rathe… Business intelligence (BI) refers to the procedural and technical infrastructure that collects, stores, and analyzes the data produced by a company’s activities. Used effectively, the right data can help with anything from compliance to hiring efforts. Historically, business intelligence tools were based on a traditional business intelligence model. All of these things come together to create a comprehensive view of a business to help people make better, actionable decisions. Creators of financial models recognize this as “garbage in, garbage out.” BI attempts to solve this problem by analyzing current data that is ideally presented on a dashboard of quick metrics designed to support better decisions. There are many reasons why companies adopt BI. Business intelligence (BI) refers to the procedural and technical infrastructure that collects, stores, and analyzes the data produced by a company’s activities. Traditional Business Intelligence, capital letters and all, originally emerged in the 1960s as a system of sharing information across organizations. In practice, however, companies have data that is unstructured or in diverse formats that do not make for easy collection and analysis. Most companies can benefit from incorporating BI solutions; managers with inaccurate or incomplete information will tend, on average, to make worse decisions than if they had better information. 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