1. Looking at the Quality of Data and Information
Business decisions are only as good as the quality of the information used to make them.
You never want to find yourself using technology to help you make a bad decision faster .

2. BUSINESS DRIVEN MIS – DETERMINING INFORMATION QUALITY ISSUES Information Revolution - Video

3. Common Characteristics of High-Quality Information
Real-time IT systems: faster, more effective decisions, smaller inventories, easier to track performance

4. Low-Quality Information
Primary Sources of Low-Quality Information
Customers intentionally enter inaccurate data to protect privacy.
Different entry standards and formats
Operators enter abbreviated or erroneous data by accident or to save time.
Third party and external information contains inconsistencies, inaccuracies and errors

5. At least 14 examples of Low-Quality Information
Customer ID
Customer First Name
Customer Last Name
Address
City
State
Zip
Phone
1771
Larry
Shimk
143 S.
Denver NY
178908
911
Caroline
143 N. West St.
Buffalo
14321
1772
Heather
Schwiter
55 N. W. S. Miss
LaGrange GA
Debbie
Fernandez
S. Main St. CO
80252
1773
Justin
34 Kerry Rd.
Littleton
98987
1774
Pam
66 S. Carlton
North Glen
98765 1 2 8 ? 9 6 10 ? 5 4 7 11 3

6. Potential business effects of using low-quality information
Inability to accurately track customers.
Difficulty identifying valuable customers and/or difficulty building strong customer relationships.
Inability to identify selling opportunities.
Marketing to nonexistent customers.
Difficulty tracking revenue.
Might order too much inventory from a supplier based on inaccurate orders.
Instead of sending an expensive promotional item to your best customers, it goes to the wrong address.
High-quality information can significantly improve the chances of making a good decision, which can directly impact an organization's bottom line

7. Maintaining Quality Information in a Data Warehouse is extremely important
Pulled from many different sources, some of which are external to your organization. Information may be inconsistent or just plain wrong.
Information cleansing or scrubbing is a process that weeds out and fixes or discards inconsistent, incomplete or incorrect information.
Cleansing uses specialized software tools to analyze, standardize, correct, match and consolidate information in a data warehouse.

8. Accurate vs Complete Information
Is it right/correct VS Is it all there/no blanks? Perfect Information??
100% accurate and complete = too expensive & time consuming to produce
Birthdate 2/31/2014 (complete but not accurate)
Address containing Manhattan, KS, but no zip code (accurate, but not complete)
Some companies are willing to go as low as 20% complete to find BI
Few organizations go below 50% accurate – info is useless if not accurate.
Perfect information vs cost and time
Most organizations determine a percentage high enough to make good decisions at a reasonable cost, such as 85 percent accurate and 65 percent complete