The IS organization can learn a great deal through interaction with the user communities, such as knowledge about the variety of types of analytical tools that are needed The business user community and Is organization can better understand why the data warehouse platform must be flexible enough to provide for changing business requirements It can help important stakeholders like high-level executives see how BI play an important role Another important success factor of Bi is its ability to facilitate a real-time, on- agile environment Section 1.5 Review Questions 1. Define analytics The term replaces terminology referring to individual components of a decision support system with one broad word referring to business intelligence. More precisely, analytics is the process of developing actionable decisions or recommendations for actions based upon insights generated from historical data language: " looking at all the data to understand what is happening, what wiy ptive Students may also refer to the eight levels of analytics and this simpler descri happen, and how to make the best of it What is descriptive analytics? What are the various tools that are employed in descriptive analytics? Descriptive analytics refers to knowing what is happening in the organization and understand ing some underlying trends and causes of such occurrences. Tools used in descriptive analytics include data warehouses and visualization applications 3. How is descriptive analytics different from trad itional reporting? Descriptive analytics gathers more data, often automatically It makes results available in real time and allows reports to be customized What is a Dw? How can data warehousing technology help to enable analytics? A data warehouse, introduced in Section 1.7, is the component of a BI system that contains the source data. As described in this section, developing a data warehouse usually includes development of the data infrastructure for descriptive analytics--that is, consolidation of data sources and making relevant data available in a form that enables appropriate reporting and analysis. a data warehouse serves as the basis for developing appropriate reports, queries, alerts and trends 5. What is predictive analytics? How can organizations employ predictive analytics? Copyright C2018 Pearson Education, Inc.7 Copyright © 2018Pearson Education, Inc. • The IS organization can learn a great deal through interaction with the user communities, such as knowledge about the variety of types of analytical tools that are needed. • The business user community and IS organization can better understand why the data warehouse platform must be flexible enough to provide for changing business requirements. • It can help important stakeholders like high-level executives see how BI can play an important role. Another important success factor of BI is its ability to facilitate a real-time, on￾demand agile environment. Section 1.5 Review Questions 1. Define analytics. The term replaces terminology referring to individual components of a decision support system with one broad word referring to business intelligence. More precisely, analytics is the process of developing actionable decisions or recommendations for actions based upon insights generated from historical data. Students may also refer to the eight levels of analytics and this simpler descriptive language: “looking at all the data to understand what is happening, what will happen, and how to make the best of it.” 2. What is descriptive analytics? What are the various tools that are employed in descriptive analytics? Descriptive analytics refers to knowing what is happening in the organization and understanding some underlying trends and causes of such occurrences. Tools used in descriptive analytics include data warehouses and visualization applications. 3. How is descriptive analytics different from traditional reporting? Descriptive analytics gathers more data, often automatically. It makes results available in real time and allows reports to be customized. 4. What is a DW? How can data warehousing technology help to enable analytics? A data warehouse, introduced in Section 1.7, is the component of a BI system that contains the source data. As described in this section, developing a data warehouse usually includes development of the data infrastructure for descriptive analytics—that is, consolidation of data sources and making relevant data available in a form that enables appropriate reporting and analysis. A data warehouse serves as the basis for developing appropriate reports, queries, alerts, and trends. 5. What is predictive analytics? How can organizations employ predictive analytics?