6. Using data to create and preserve value Flashcards

(39 cards)

1
Q

Define Feedback theory

A

Results of a process are gathered and used to influence future performance by adjusting inputs into the process eg. to exercise control

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Explain process of single loop feedback

A
  • Sensor
  • Comparator: compares actual result against standard
  • Effector: acts upon comparison to issue new instruction
  • Inputs are adjusted
  • Which effect processes
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is a double loop feedback

A

There is a higher level controller which sets a standard - Human intervention
Along with a lower level controller

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Who are internal stakeholders of feedback

A

Sales team
Operations Team
Marketing team
Board of directors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What feedback is received from sales team

A
  • Customer accounts showing purchases, sales prices, volumes and customer feedback
  • Strategy: use information to seek advantage over competition
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What feedback would be recieved from operations team

A
  • Size of future orders
  • Strategy: develop long term relationships with suppliers
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What feedback is recieved from marketing team

A
  • Wheether sales are falling without reason
  • Strategy: understanding of factors of drivers
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What feedback is recieved from board of directors

A
  • Insights intow whether or not to purchase coeptitor
  • Strategy: consider value added to organisation
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What are other groups of staekholders with requirements for information systems

A
  • HR: info of staff
  • Shareholders: future prospects of business
  • Production team: levels of orders, unit costs
  • Individual directors: insight and infomation with data visualisation
  • Employees: effectiveness of systems
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is ETL

A

Data extraction, Transformation and Loading systems
- Take data from existing database and conver it into a different form and place it into a new database

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is meant by extraction

A

Data is analysed to understand content, format and structure : Data profilling
- Then it is read from source

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is meant by data transformation function

A
  • Convertion of extracted data by combinging data to be placed into another database eg/ using rules or look up
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is meant by the data loading function

A
  • Write transformed data into target database - data warehouse
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Define business intelligence systems

A

System that describes technological architecture that extract, assemble and store data to provide data and analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is the structure fo the Business intelligence stack

A
  • IT infrastructrue at the bottom
  • Customer relationship management, finance, enterprise resource planning, HR, supply chain and legacy systems
  • ETL
  • Data warehouse + external data + meta data
  • Data mining, Online analytical processing, query and reporting
  • Customers, finances, operations, and supply chain
  • Real time access, websites, reports and dashboards
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is the secodn layer on the BI Stack

A

Specialist information systems for each business function
- Data stored in multiple formats and lcoations
- CRM, Finance, HR, Enterprise resource planning, legacy systems, supply chain

17
Q

What is the metadata, data warehouse, warehouse maangemtn BI Stack level

A
  • Systems that store transformed data from specialist systems and manage it so it can be used
18
Q

What are examples of data solutions for Business intelligence

A

Hadoop

Googlebigquery

19
Q

What is the prupose fo Hadoop

A
  • Technological solution to handle big data
  • Increases speed of tasks completed
  • Task is broken down into separate elements and distributed to seperate servors
  • Performed by HDFS( Hadoop distribute file system) and Map Reduce framework
  • Completed tasks are reassmbled
20
Q

What are the types of data activities

A

Data modelling
Data manipulation
Data analysis

21
Q

Define data modelling

A

Analysis of organisation’s data needs required to support business processes

22
Q

Define data manipulation

A

reorganisation or transformation of data to make it easier to read or more meaningful

23
Q

Define data analysis

A

Overall process of collecting, cleansing, manipulation and modelling data to support decision making

24
Q

What are the three stages of data modelling

A

Conceptual Model
Logical Model
Physical Model

25
What is meant by conceptual mode
- stage on eof data modelling - consultation with internal stakeholders to determine and record data requirements - Finance: Liason with stakeholders to determine types of insights required
26
What is meant by logical model
-Stage two of data modelling - Data requirements are developed into formal documents specifying data structures to be use - Finance: reviews the logical structure to ensure data requirements will be met
27
What is meant by physical model
-Stage three of data modelling - Physical model is created ot manage data - Finance: testing of physical modelto ensure correct insights can be made
28
What are the advantages of data modelling
- Foundation for handling data - Helps with compliance of data regulation - Enhances data quality - Improves consistency of database
29
What is the role of the finace function in data manipulation
- Data manipulation language: DML - DML used to automate processes and handle complex data - Finance: manipulate data using accoutning fields
30
What are the different types of data analysis for decision making
- Exploratory data anlysis - Confirmatory data analysis - Predictive data anlysis - Text data analysis
31
What is meant by explaratory data analysis
Finding new relationships or detures in data sets
32
What is menat by confirmatory data analysis
Confirming or disproving hypothesis
33
What is predictive data anlysis
Making forecasts based on techniques like statistical modelling
34
What is text data anlysis
Extracting and classifying data from textual sources
35
How do the characteristics od big data affect its storage requirements
Volume: infrastructure Velocity: network and communicaiton systems Variety: Data connection and data visualisation tools
36
Which charecteristic of big data mainly affects the infrastructure used to store it
Volume
37
What is the finance function roles in relation to big data qualities
Volume: internal audit for data storage Velocity: benchmarking insights to IT Function Variety: Ensure data connection and visualisation tools are adequate
38
What questions does effective visualisation tools consider
- who is the audience (level of detail and technical ability) - How do they want the data (form) - What outcome do they want
39
Why does the finance function perform data visualisation
- Responsibility to provide key insights - Knowledge and expertise required - Improved communication - Knowledgeof overall organisational strategy