Abstract
One of the biggest challenges for managers today is decision making. The adoption of technological solutions to obtain information more easily and intuitively is increasing, so decisions are taken with greater coherence. In this aspect, Business Intelligence (BI) appears as a tool that extracts, transforms, and enables data to be crossed to assist managers in making decisions. This chapter proposes a BI maturity assessment model to assess the level of this phenomenon in the management of the Information Technology (IT) area to verify the main reasons why the IT managers of a company from the private sector in the city of Salvador, Bahia, Brazil, do not use BI tools in their management practices whereas their clients implemented such processes in the last two years. As a result, the level of maturity reached was 01, denominated empirical management or without maturity.
TopBusiness Intelligence
The term Business Intelligence (BI) was created in the 1980s, coined by the Gartner Group, and its main features are: extracting and integrating data from multiple sources, making use of experience, analyzing contextualized data, working with hypotheses, searching for cause and effect relationships, transforming records and data in useful information for business knowledge. BI was already foreseen in the old information engineering, that is, as a company, over time, accumulate operational or transactional data in its databases, there will come a time when this data should be used to support the tasks to be performed (Rosini & Palmisiano, 1998). In this paper, we present the results of the analysis of the strategic decision-making process at the strategic level of the company.
Key Terms in this Chapter
Business Intelligence: Process of collecting, treating and using information to assist managers in the decision-making process.
Information: Information is configured in a resource that assigns meaning to reality through its codes and data set. It also allows solving problems and making decisions, based on the rational use of this knowledge acquired through it.
Decision Making Process: It is the power to choose the most appropriate way to reach a particular goal.
ETL: It is one of the stages of the Business Intelligence processes responsible for extracting, processing and loading the data from the transactional sources and later stored in the data repositories.
Datawarehouse: A large repository that stores collected and treated data from transactional sources, which assist managers in decision making.
Maturity Model: Defines a maturity structure at successive levels towards continuous improvement of business processes.