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Business Intelligence (BI) Cody Schumacher, Jessyca Banks, Ken Hicks.

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Presentation on theme: "Business Intelligence (BI) Cody Schumacher, Jessyca Banks, Ken Hicks."— Presentation transcript:

1 Business Intelligence (BI) Cody Schumacher, Jessyca Banks, Ken Hicks

2 Handout - Cody What is your understanding of business intelligence?? http://www.nytimes.com/2007/11/13/techn ology/13cognos.html?scp=5&sq=Business +Intelligence&st=nyt

3 BI Definition - Jessyca Gathering information about a specific business and the applications which are used for to store, analyze and provide access to the data. This is a needed practice to help business make better decisions for their company.

4 What BI should do - Jessyca Supply accurate data in a timely manner in a secure environment Present data in the form of easily digestible information Provide easy means to answer ensuing questions Allow effective communication

5 BI Process - Cody http://www.b-eye-network.com/view/1182

6 Software - Jessyca

7 Data Warehouse - Ken Definition –A data warehouse is the main repository of an organization's historical data, its corporate memory. It contains the raw material for management's decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries and analysis, such as data mining, on the information without slowing down the operational systems. HistoryAdvantagesConcerns

8 Data Mart - Ken is a specialized version of a data warehouse (DW). Like data warehouses, data marts contain a snapshot of operational data that helps business people to strategize based on analyses of past trends and experiences. The key difference is that the creation of a data mart is predicated on a specific, predefined need for a certain grouping and configuration of select data. A data mart configuration emphasizes easy access to relevant information. Advantages –Easy access to frequently needed data –Creates collective view by a group of users –Improves end-user response time –Ease of creation –Lower cost than implementing a full Data warehouse –Potential users are more clearly defined than in a full Data warehouse

9 Data Mart vs. Data Warehouse - Ken

10 Video - Cody Business Intelligence Video Business Intelligence Video

11 Video 2 - Cody Taking Business Intelligence to the Next Level Taking Business Intelligence to the Next Level


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