Exercise solution of chapter1 of datawarehouse cs614(solution of exercise)
- 1. SOLUTIONS OF REVIEW , EXERCISE QUESTIONS OF CHAPTER NO 1 1. Match the columns: 1. information crisis 2. strategic information 3. operational systems 4. information center 5. data warehouse 6. order processing 7. executive information system 8. data staging area 9. extract programs 10. information technology K. OLTP application L. produce ad hoc reports M. explosive growth N. despite lots of data O. data cleaned and transformed P. users go to get information Q. used for decision making R. environment, not product S. for day-to-day operations T. simple, easy to use
- 2. Solutions:- 2. The current trends in hardware/software technology make data warehousing feasible. Explain via some examples how exactly technology trends do help. Solutions:- http://www.system-services.com/DataWarehousing.asp 3.You are the IT Director of a nationwide insurance company. Write a memo to the Executive Vice President explaining the types of opportunities that can be realized with readily available strategic information. Solutions:- Format/template of memorandum
- 3. Information use from:- http://jubileelife.com/wp-content/uploads/2015/12/IAP-Essay-Winner.pdf https://www.casact.org/pubs/proceed/proceed83/83221.pdf have seen explosive changes in these critical areas: Computing technology Human/machine interface Processing options 4.For an airlines company, how can strategic information increase the number of frequent flyers? Discuss giving specific details. Solutions:-
- 4. https://www.essaytown.com/subjects/paper/database-warehousing/4257 5. You are a Senior Analyst in the IT department of a company manufacturing automobile parts. The marketing VP is complaining about the poor response by IT in providing strategic information. Draft a proposal to him explaining the reasons for the problems and why a data warehouse would be the only viable solution. Solutions:- Ans.: We need different types of decision-support systems to provide strategic information. The type of information needed for strategic decision making is different from that available from operational systems. We need a new type of system environment for the purpose of providing strategic information for analysis, discerning trends, and monitoring performance. 1. A New Type of System Environment The desired features of the new type of system environment are: Database designed for analytical tasks Data from multiple applications Easy to use and conducive to long interactive sessions by users Read-intensive data usage Direct interaction with the system by the users without IT assistance Content updated periodically and stable Content to include current and historical data Ability for users to run queries and get results online Ability for users to initiate reports 2. Processing Requirements in the New Environment Most of the processing in the new environment for strategic information will have to be analytical. There are four levels of analytical processing requirements: 4 a) Running of simple queries and reports against current and historical data b) Ability to perform "what if " analysis is many different ways c) Ability to query, step back, analyze, and then continue the process to any desired length d) Spot historical trends and apply them for future results 3. Business Intelligence at the Data Warehouse This new system environment that users desperately need to obtain strategic information happens to be the new paradigm of data warehousing. Enterprises that are building data warehouses are actually building this new system environment. This new
- 5. environment is kept separate from the system environment supporting the day-to- day operations. The data warehouse essentially holds the business intelligence for the enterprise to enable strategic decision making. The data warehouse is the only viable solution. We have clearly seen that solutions based on the data extracted from operational systems are all totally unsatisfactory. Figure 2.1 shows the nature of business intelligence at the data warehouse. At a high level of interpretation, the data warehouse contains critical measurements of the business processes stored along business dimensions. For example, a data warehouse might contain units of sales, by product, day, customer group, sales district, sales region, and promotion. Here the business dimensions are product, day, customer group, sales district, sales region, and promotion. From where does the data warehouse get its data? The data is derived from the operational systems that support the basic business processes of the organization. In between the operational systems and the data warehouse, there is a data staging area. In this 5 staging area, the operational data is cleansed and transformed into a form suitable for placement in the data warehouse for easy retrieval.