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Looking at the Quality of Data and Information Chapter 6 Pages 132-134 Chapter 6 Pages 143-144 Business decisions are only as good as the . You never want to find yourself using technology to help you make .

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Page 1: Looking at the Quality of Data and Information Chapter 6 Pages 132-134 Chapter 6 Pages 143-144 Business decisions are only as good as the. You never want

Looking at the Quality of Data and Information

Chapter 6 Pages 132-134

Chapter 6 Pages 143-144

Business decisions are only as good as the .

You never want to find yourself using technology to help you make

.

Page 2: Looking at the Quality of Data and Information Chapter 6 Pages 132-134 Chapter 6 Pages 143-144 Business decisions are only as good as the. You never want

BUSINESS DRIVEN MIS – DETERMINING

INFORMATION QUALITY ISSUES

Information Revolution - Videohttp://www.youtube.com/watch?v=-4CV05HyAbM

Page 3: Looking at the Quality of Data and Information Chapter 6 Pages 132-134 Chapter 6 Pages 143-144 Business decisions are only as good as the. You never want

Common Characteristics of High-Quality Information

systems: faster, more effective decisions, smaller inventories, easier to track performance

Page 4: Looking at the Quality of Data and Information Chapter 6 Pages 132-134 Chapter 6 Pages 143-144 Business decisions are only as good as the. You never want

Low-Quality Information

Primary Sources of Low-Quality Information1. C intentionally data to protect

privacy.2. Different entry standards and formats3. Operators enter abbreviated or erroneous data4. Third party and external information contains inconsistencies, inaccuracies

and errors

Page 5: Looking at the Quality of Data and Information Chapter 6 Pages 132-134 Chapter 6 Pages 143-144 Business decisions are only as good as the. You never want

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

1771 Caroline Shimk 143 N. West St. Buffalo NY 14321 716-333-4567

1772 Shimk Caroline 143 N. West St. Buffalo NY 14321 716-333-4567

1772 Heather Schwiter 55 N. W. S. Miss LaGrange GA 14321 716-333-4567

1772 Debbie Fernandez S. Main St. Denver CO 80252 333-8965

1772 Debbie Fernandez S. Main St. Denver CO 80252 333-8965

1773 Justin Justin 34 Kerry Rd. Littleton CO 98987 716-67-9087

1774 Pam 66 S. Carlton North Glen CO 98765 343-456-6857

Page 6: Looking at the Quality of Data and Information Chapter 6 Pages 132-134 Chapter 6 Pages 143-144 Business decisions are only as good as the. You never want

Potential business effects of using low-quality information

1. Inability to accurately customers.

2. Difficulty valuable customers and/or difficulty strong

3. Inability to identify selling opportunities.

4. Marketing to nonexistent customers.

5. Difficulty tracking revenue.

6. Might order too much inventory from a supplier based on inaccurate orders.

7. Instead of sending an expensive promotional item to your best customers, it

High-quality information can the chances of , which can directly impact an organization's

bottom line

Page 7: Looking at the Quality of Data and Information Chapter 6 Pages 132-134 Chapter 6 Pages 143-144 Business decisions are only as good as the. You never want

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 or is a process that weeds out and inconsistent, incomplete or incorrect information.

Cleansing uses specialized software tools to and consolidate

information in a data warehouse.

Page 8: Looking at the Quality of Data and Information Chapter 6 Pages 132-134 Chapter 6 Pages 143-144 Business decisions are only as good as the. You never want

Accurate vs Complete InformationIs it right/correct VS Is it all there/no blanks?

Perfect Information??

• 100% accurate and complete =– 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 such as 85 percent accurate and 65 percent complete