ITM 102 Final Exam UPDATED ACTUAL Questions and
CORRECT Answers
IOT (internet of things) any device connected to internet, with goal of enhancing performance without
human intervention
Types of Data - quantitative
- categorical
- dates & times
- Boolean
- Images & multimedia
Four Common Characteristics of Big Data - Variety (different forms of data)
- Volume (scale of data)
- Velocity (analysis of streaming data)
- Veracity (uncertainty of data)
Customer Relationship Management (CRM) demand and sales forecasting,marketing, customer service
SCM (supply chain management accounting, finance, logistics, production
M2M (machine to machine) 2+ connected devices interacting via wireless or wired connections with goal of
data sharing an analytics without human intervention
Core data drivers: - (raw facts describing characteristics) -->
Data --> Info --> Business intelligence --> Knowledge - (best/worst selling products) -->
(skills, experience coupled with info and intelligence) - (lowest sales per week compared with economic interest) -->
- (skills, experience coupled with info and intelligence)
Structured Data defined length, type and format includes numbers, dates or strings
Machine-generated structured data: created by machine without human intervention
Human-generated structured data data which humans interact with such computers
Unstructured data not defined, doesn't follow specific format, typically free-form text such as emails,
tweets & text messages doesn't follow specific format
Machine-generated unstructured data satellite images, scientific atmosphere data & radar data
Human-generated unstructured data: text messages, social media data & and emails
Information data converted into meaningful and useful contexet
Variable: data characteristics which stands for a value that changes or varies over time
, Report A document containing data organized in table, matrix or graphical format,
allowing users to easily comprehend and understand info
- Dynamic report: changes automatically during creation
-Static report: created once based on data that doesn’t change
Descriptive vs Diagnostic Analytics Descriptive:
- describes part of performance & history
Diagnostic:
- examines data or content to answer questions “why did it happen?”
Predictive analytics: extract
Predictive vs Prescriptive Analytics Predictive:
- extracts info from data to predict future trends & identify behaviour patterns
Prescriptive:
- creates model including best decision to make/ course of action
Knowledge Asset vs Knowledge Worker Knowledge Asset:
-human, structural and recorded resources available to organization
Knowledge Worker:
- individual valued for ability to interpret and analyze info
Transformation of data --> knowledge Data -- info -- BI -- Knowledge
Data Silo (when departments working independently) occurs when one department is unable to freely communicate with other
departments, making it difficult or impossible for orgs to work cross-functionally
Data Democratization the ability for data to be collected, analyzed, and accessible to all users
Overview of Systems Thinking
MIS (management info system) --departments working Business function which moves info about people, products and processes across
interdependently company to facilitate decision-making and problem-solving
Titles in tech/data - CIO: (Chief info officer)
- CDO: (Chief data officer)
-CTO: (Chief tech officer)
- CSO: (Chief security officer)
- CPO: (Chief Privacy Officer)
-CKO: (Chief Knowledge Officer)
Manager 6 Step Process 1) Problem identification
2) Data collection
3) Solution generation
4) Solution Test
5) Solution Selection
6) Solution Implementation
CORRECT Answers
IOT (internet of things) any device connected to internet, with goal of enhancing performance without
human intervention
Types of Data - quantitative
- categorical
- dates & times
- Boolean
- Images & multimedia
Four Common Characteristics of Big Data - Variety (different forms of data)
- Volume (scale of data)
- Velocity (analysis of streaming data)
- Veracity (uncertainty of data)
Customer Relationship Management (CRM) demand and sales forecasting,marketing, customer service
SCM (supply chain management accounting, finance, logistics, production
M2M (machine to machine) 2+ connected devices interacting via wireless or wired connections with goal of
data sharing an analytics without human intervention
Core data drivers: - (raw facts describing characteristics) -->
Data --> Info --> Business intelligence --> Knowledge - (best/worst selling products) -->
(skills, experience coupled with info and intelligence) - (lowest sales per week compared with economic interest) -->
- (skills, experience coupled with info and intelligence)
Structured Data defined length, type and format includes numbers, dates or strings
Machine-generated structured data: created by machine without human intervention
Human-generated structured data data which humans interact with such computers
Unstructured data not defined, doesn't follow specific format, typically free-form text such as emails,
tweets & text messages doesn't follow specific format
Machine-generated unstructured data satellite images, scientific atmosphere data & radar data
Human-generated unstructured data: text messages, social media data & and emails
Information data converted into meaningful and useful contexet
Variable: data characteristics which stands for a value that changes or varies over time
, Report A document containing data organized in table, matrix or graphical format,
allowing users to easily comprehend and understand info
- Dynamic report: changes automatically during creation
-Static report: created once based on data that doesn’t change
Descriptive vs Diagnostic Analytics Descriptive:
- describes part of performance & history
Diagnostic:
- examines data or content to answer questions “why did it happen?”
Predictive analytics: extract
Predictive vs Prescriptive Analytics Predictive:
- extracts info from data to predict future trends & identify behaviour patterns
Prescriptive:
- creates model including best decision to make/ course of action
Knowledge Asset vs Knowledge Worker Knowledge Asset:
-human, structural and recorded resources available to organization
Knowledge Worker:
- individual valued for ability to interpret and analyze info
Transformation of data --> knowledge Data -- info -- BI -- Knowledge
Data Silo (when departments working independently) occurs when one department is unable to freely communicate with other
departments, making it difficult or impossible for orgs to work cross-functionally
Data Democratization the ability for data to be collected, analyzed, and accessible to all users
Overview of Systems Thinking
MIS (management info system) --departments working Business function which moves info about people, products and processes across
interdependently company to facilitate decision-making and problem-solving
Titles in tech/data - CIO: (Chief info officer)
- CDO: (Chief data officer)
-CTO: (Chief tech officer)
- CSO: (Chief security officer)
- CPO: (Chief Privacy Officer)
-CKO: (Chief Knowledge Officer)
Manager 6 Step Process 1) Problem identification
2) Data collection
3) Solution generation
4) Solution Test
5) Solution Selection
6) Solution Implementation
