Business Intelligence is well recognised for its ability to optimize both the cost and revenue activities in an organization. Any Data Science project in these companies will face multiple distracting hurdles: a lengthy process of getting data out of business systems for analysis, inability to operationalize the solution because current IT architecture cannot support containers and microservices, etc.
These support systems primarily served management, operations, and planning levels of an organization and helped people make decisions about problems that may be rapidly changing and not easily specified in advance — i.e., unstructured and semi-structured decision problems.
It is intended to be the premier technical publication in the field, providing a resource collection relevant common methods and techniques and a forum for unifying the diverse constituent research communities in business intelligence and intelligent data analysis.
Modern analytics platforms like Tableau help organizations address every step in the cycle of analytics—data preparation in Tableau Prep , analysis and discovery in Tableau Desktop , and sharing and governance in Tableau Server or Tableau Online This means that IT can govern data access while empowering more people to visually explore their data and share their insights.
BI solutions gather data from all areas of the company: Financial Department (expenses, suppliers, maintenance, sales, projects…) Technical Department (alerts, maintenance…) Sales Department (payments due and received…) Business Processes Management BPM (presentations and workflow, customer service…) Business Intelligence solutions can, therefore, provide you with segmented reports, strategic information, tactical or operational, depending on the company´s requirements.