1. E-Data Jill Dyché Turning Data into Information with Data Warehousing

2. What is a Data Warehouse? A repository of subject-oriented, historical data A collection of smaller “data marts” A separate hardware platform A computer different from the other computers in your IT environment A combination of the hardware, specialized software, and data

3. What is a Data Warehouse? Data on the data warehouse is used for decision making Duplicates data that already exists elsewhere in the business

4. The Value of a Data Warehouse It makes new business knowledge available literally at the touch of a button Provides information to customer service reps who can use it to tailor their responses to service requests and new orders.

5. Why the “Rush” to Design a DW? Mainframe offload Company’s mainframe system was busy already Dirty Data Different data from all over the enterprise was hard to find and impossible to understand Security DW offers a more generally accessible environment for frequently requested information

6. New Benefits Enables companies to answer different questions with the same information. Simpler implementation Because DWs are “informational” and not “operational” they don’t require the security, design and technology restrictions as operational systems Customer intimacy

7. Data-Warehousing Objectives (p.14) To provide a single view of our customers across the enterprise To put as much business information as possible into the hands of as many different users as possible To improve turnaround time for common reports To monitor customer behavior To predict purchases

8. Data-Warehousing Objectives (p.14) To perform statistical analysis on data from one location instead of many To compensate the recent downsizing of our IT department To improve responsiveness to business issues To increase the accuracy of measurements To improve productivity To increase and distribute responsibilities

9. Data Warehousing Aphorisms Right or Wrong If you build it, they will come The hardest part about data warehousing is sourcing and loading the data The most difficult part is getting everyone to agree on its objectives and defining the deliverables and implementation priorities correctly the first time out

10. Data Warehousing Aphorisms Right or Wrong The data warehouse can be all things to all people Only if you understand their requirements, can provide the appropriate data and can build a technology architecture to deliver The data warehouse is the only remedy for being “data rich and information poor” Data warehousing is not a technology, it’s a process

11. Buzzwords and What They Mean Database A collection of related tables Tables=collection of fields that describe a person, place object event, or idea Field=a single characteristic or attribute of a person, place, object, event or idea Record=set of field values Database Management Systems A software program that lets you create databases and then manipulate data in them

12. Buzzwords and What They Mean Relational Databases See DB Data mart A subset of a data warehouse Focused portion of the data warehouse for a specific functional area, department Enterprise Data Warehouse Larger corporate warehouse that feeds the data marts

13. OLTP Online transaction processing Involves gathering input information, processing that information, and updating existing information to reflect the gathered and processes info. Most organizations use databases and DBMS to support OLTP OLAP Online analytical processing Manipulation of information to support decision making