- This is a low-tech pencil and paper quiz. After reading the question, note your answer choice. There is an answer key at the end of the quiz, where you'll also find additional resources related to the correct answer.
1. Some organizations appoint this individual to be responsible for
data management and data quality from a business
perspective.
a. data analyst
b. data steward
c. information architect
d. data keeper
2. This is a data management practice that characterizes the content,
quality, and structure of your data.
a. data enrichment
b. data caving
c. data refinement
d. data profiling
3. This term is used to define the process of consolidating and
managing customer information from all available sources to create a
single customer profile:
a. Customer Data Integration
b. Customer Relationship Management
c. data profiling
d. data consolidation
This is the term for the process of matching
customers belonging to a group, usually identified by the same address.
a. householding
b. data association
c. customer data relating
d. data grouping See
the rest of our quiz topics
Answer Key:
1.) b. data steward
Barney Beal's article explains why you should "Put
your faith in CRM's data stewards".
2.) d. data profiling
Read up on data profiling in this white paper: "Advanced data profiling and
analysis technology".
3.) a. Customer Data Integration
SearchCRM.com has more information in their Featured Topic, Customer
Data Integration
4.) c. raw data
Get a detailed definition of raw
data from Whatis.com.
5.) b. data cleansing
Read up on the best ways to tackle your data cleansing chores: "Two
options for data cleansing"
6.) a. householding
Find out more about householding and other customer
matching techniques.
7.) b. data enrichment
Ask SearchCRM.com's business intelligence expert William
McKnight your question on data enrichment and other data quality
issues.
8.) d. bring it in
Browse through our collection of stories from around the Web on data
quality
9.) c. name misspelling
Get information on how to avoid some of today's data
quality violations
10.) b. data preprocessing
For more information, see our tip about data preprocessing.
This was first published in July 2004