WGU D322- Introduction to IT
Information Technology ANS: The technology used in creating, maintaining, and making information
accessible.
IT Professional Roles ANS: Administration and Support
System Administrator ANS: responsible for providing technical support for hardware and software
issues end users encounter, such as log-in issues
Network Administrator ANS: is responsible for designing, planning, setting up, and maintaining an
organization's network
Database Administrator ANS: is responsible for installing and configuring databases. This position also
fixes database errors and creates user accounts.
Security Administrator ANS: is responsible for installing, administering, and troubleshooting network
security issues
Web Administrator ANS: is responsible for troubleshooting error messages employees encounter when
attempting to access their organization's website. The web administrator is also responsible for tracking,
compiling, and analyzing website usage data. This role reports security breaches to appropriate
personnel.
Support IT Professionals ANS: Help desk and training.
Information ANS: collection of processed data from a variety of sources
,DIKW Hierarchy ANS: Defines the transition of data to information from knowledge to wisdom. (Data
Information Knowledge Wisdom)
Data in DIKW ANS: The input directly received by the user (or computer). It is generally not usable until
it has been converted into a relevant form.
Information in DIKW ANS: Having been inferred from data; one or more processes have been applied to
the data to transform it into a more useful form.
Knowledge in DIKW ANS: Information that has been put to use; information placed 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
Wisdom in DIKW ANS: Provides a social setting to knowledge; an understanding of the "why". Can only
come by having both knowledge and experience.
Information Systems ANS: A collection of data and information used to support 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.
Characteristics of Quality Data ANS: Relevance - the data being used must apply directly to the 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
Structured data ANS: is coded in a way that makes it easy to convert into a form usable for analysis.
Examples of structured data ANS: contact information such as first name, last name, email 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.
Unstructured data ANS: refers to data that is more complex and possibly stored in a format that is not
easily decoded.
Examples of unstructured data ANS: include data stored in text or video format, comments on a web
page, text messages, and videos of presentations or conferences.
To begin analyzing business processes ANS: a business must first collect data from multiple platforms
and portals.
Data in businesses comes from various activities like ANS: sales and marketing, finance, customer
service, and relationship management.
Companies store data in multiple systems like ANS: customer relationship management (CRM) system
and sales records, finance, enterprise resource planning (ERP), and customer applications. each has data
on every customer
Data Hygiene ANS: refers to the processes of ensuring the cleanliness of data (i.e., that the data is
relatively error-free)
, Data scrubbing ANS: the process of amending or removing data in a database that is incorrect,
incomplete, improperly formatted, or duplicated.
Quality data ANS: defined as data that is precise, valid, reliable, timely, and complete.
Good data enables businesses to do the following: ANS: *Analyze the current financial state of the
organization in terms of net profits, revenues, cash flow, assets, and liabilities
*Increase revenues through better targeting of products and increased customer satisfaction
*Examine existing production processes to take corrective action, improve efficiency, and lower costs
*Develop new, automated processes that integrate harmoniously 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
Types of bad data ANS: *Duplicate data: Two or more identical records
*Conflicting data: The same records with differing attributes
*Incomplete data: Missing attributes
*Invalid data: Attributes not conforming to standardization
*Unsynchronized data: Data not appropriately shared between two systems
three general steps for transforming institutional knowledge into implementable data solutions: ANS:
capturing, analyzing, and using.
IPO ANS: The input-process-output
Information Technology ANS: The technology used in creating, maintaining, and making information
accessible.
IT Professional Roles ANS: Administration and Support
System Administrator ANS: responsible for providing technical support for hardware and software
issues end users encounter, such as log-in issues
Network Administrator ANS: is responsible for designing, planning, setting up, and maintaining an
organization's network
Database Administrator ANS: is responsible for installing and configuring databases. This position also
fixes database errors and creates user accounts.
Security Administrator ANS: is responsible for installing, administering, and troubleshooting network
security issues
Web Administrator ANS: is responsible for troubleshooting error messages employees encounter when
attempting to access their organization's website. The web administrator is also responsible for tracking,
compiling, and analyzing website usage data. This role reports security breaches to appropriate
personnel.
Support IT Professionals ANS: Help desk and training.
Information ANS: collection of processed data from a variety of sources
,DIKW Hierarchy ANS: Defines the transition of data to information from knowledge to wisdom. (Data
Information Knowledge Wisdom)
Data in DIKW ANS: The input directly received by the user (or computer). It is generally not usable until
it has been converted into a relevant form.
Information in DIKW ANS: Having been inferred from data; one or more processes have been applied to
the data to transform it into a more useful form.
Knowledge in DIKW ANS: Information that has been put to use; information placed 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
Wisdom in DIKW ANS: Provides a social setting to knowledge; an understanding of the "why". Can only
come by having both knowledge and experience.
Information Systems ANS: A collection of data and information used to support 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.
Characteristics of Quality Data ANS: Relevance - the data being used must apply directly to the 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
Structured data ANS: is coded in a way that makes it easy to convert into a form usable for analysis.
Examples of structured data ANS: contact information such as first name, last name, email 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.
Unstructured data ANS: refers to data that is more complex and possibly stored in a format that is not
easily decoded.
Examples of unstructured data ANS: include data stored in text or video format, comments on a web
page, text messages, and videos of presentations or conferences.
To begin analyzing business processes ANS: a business must first collect data from multiple platforms
and portals.
Data in businesses comes from various activities like ANS: sales and marketing, finance, customer
service, and relationship management.
Companies store data in multiple systems like ANS: customer relationship management (CRM) system
and sales records, finance, enterprise resource planning (ERP), and customer applications. each has data
on every customer
Data Hygiene ANS: refers to the processes of ensuring the cleanliness of data (i.e., that the data is
relatively error-free)
, Data scrubbing ANS: the process of amending or removing data in a database that is incorrect,
incomplete, improperly formatted, or duplicated.
Quality data ANS: defined as data that is precise, valid, reliable, timely, and complete.
Good data enables businesses to do the following: ANS: *Analyze the current financial state of the
organization in terms of net profits, revenues, cash flow, assets, and liabilities
*Increase revenues through better targeting of products and increased customer satisfaction
*Examine existing production processes to take corrective action, improve efficiency, and lower costs
*Develop new, automated processes that integrate harmoniously 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
Types of bad data ANS: *Duplicate data: Two or more identical records
*Conflicting data: The same records with differing attributes
*Incomplete data: Missing attributes
*Invalid data: Attributes not conforming to standardization
*Unsynchronized data: Data not appropriately shared between two systems
three general steps for transforming institutional knowledge into implementable data solutions: ANS:
capturing, analyzing, and using.
IPO ANS: The input-process-output
