D322 INTRODUCTION TO IT DEFINITIONS AND EXPLANATIONS EXAMBANK
STUDY GUIDEWESTERN GOVERNORS’ UNIVERSITY
1. Information The technology used in creating, maintaining, and making
Technology information accessible.
2. IT Professional Administration and Support
Roles
3. System Adminis- responsible for providing technical support for hardware
trator and software issues end users encounter, such as log-in
issues
4. Network Admin- is responsible for designing, planning, setting up, and
istrator maintaining an organization's network
5. Database Admin- is responsible for installing and configuring databases.
istrator This position also fixes database errors and creates user
accounts.
6. Security Admin- is responsible for installing, administering, and trou-
istrator bleshooting network security issues
7. Web Administra- is responsible for troubleshooting error messages em-
tor ployees encounter when attempting to access their orga-
nization's website. The web administrator is also respon-
sible for tracking, compiling, and analyzing website usage
data. This role reports security breaches to appropriate
personnel.
8. Support IT Pro- Help desk and training.
fessionals
9. Information collection of processed data from a variety of sources
10. DIKW Hierarchy Defines the transition of data to information from knowl-
edge to wisdom. (Data Information Knowledge Wisdom)
11. Data in DIKW
,D322 INTRODUCTION TO IT DEFINITIONS AND EXPLANATIONS EXAMBANK
STUDY GUIDEWESTERN GOVERNORS’ UNIVERSITY
The input directly received by the user (or computer). It
is generally not usable until it has been converted into a
relevant form.
12. Information in Having been inferred from data; one or more processes
DIKW have been applied to the data to transform it into a more
useful form.
13. Knowledge in Information that has been put to use; information placed
DIKW into a context. Refined information such that the user of
the knowledge is able to call forth only relevant portions
of information when needed. KNOWING THR RIGHT
THING TO DO
14. Wisdom in DIKW Provides a social setting to knowledge; an understanding
of the "why". Can only come by having both knowledge
and experience.
15. Information Sys- A collection of data and information used to support
tems the management of an organization. Also refers to the
technical components and human resources that enable
the assembly, storage, and processing of data and the
delivery of information. This has existed for a lot longer
than computers.
16. Characteristics Relevance - the data being used must apply directly to the
of Quality Data decision being made
Timely - data must be efficient and must be provided in a
timely manner
Thorough - the data must be complete
Accurate - data should be captured only once, where
possible and should be captured as close to the point of
activity as possible.
Reliable - data should reflect stable and consistent data
collection processes across collections points and over
time
,17. Structured data is coded in a way that makes it easy to convert into a form
usable for analysis.
18. Examples of contact information such as first name, last name, email
structured data address, and phone number. In addition, quantitative
fields like date of birth, date of transaction, and the
amount received or amount due are forms of structured
data.
19. Unstructured refers to data that is more complex and possibly stored in
data a format that is not easily decoded.
20. Examples of un- include data stored in text or video format, comments on
structured data a web page, text messages, and videos of presentations
or conferences.
21. To begin ana- a business must first collect data from multiple platforms
lyzing business and portals.
processes
22. Data in business- sales and marketing, finance, customer service, and re-
es comes from lationship management.
various activities
like
23. Companies store customer relationship management (CRM) system and
data in multiple sales records, finance, enterprise resource planning
systems like (ERP), and customer applications. each has data on
every customer
24. Data Hygiene refers to the processes of ensuring the cleanliness of data
(i.e., that the data is relatively error-free)
25. Data scrubbing the process of amending or removing data in a database
that is incorrect, incomplete, improperly formatted, or du-
plicated.
26. Quality data defined as data that is precise, valid, reliable, timely, and
complete.
, 27. Good data en- *Analyze the current financial state of the organization
ables business- in terms of net profits, revenues, cash flow, assets, and
es to do the fol- liabilities
lowing: *Increase revenues through better targeting of products
and increased customer satisfaction
*Examine existing production processes to take correc-
tive action, improve efficiency, and lower costs
*Develop new, automated processes that integrate har-
moniously into existing workflows and reduce demands
on labor
*Gather competitive information on product and pricing
decisions to stay ahead of competitors
*Make evidence-based decisions that utilize verifiable
data to maximize profits and efficiency
*Understand business value by exploiting rapid changes
in information and generating insights from diverse data
sources to widen the competitive differentiation gap
28. Types of bad *Duplicate data: Two or more identical records
data *Conflicting data: The same records with differing attrib-
utes
*Incomplete data: Missing attributes
*Invalid data: Attributes not conforming to standardization
*Unsynchronized data: Data not appropriately shared be-
tween two systems
29. three general capturing, analyzing, and using.
steps for trans-
forming insti-
tutional knowl-
edge into im-
plementable data
solutions:
30. IPO The input-process-output
31. 4 main functions Input, processing, Output, Storage
of a computer
