Chapter 8 - Data to create and preserve value Flashcards

1
Q

What data and feedback does sales need?

A
  • Feedback on price, volume and customer feedback
  • Live data on competitor pricing and trends
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2
Q

What data and feedback does production need?

A
  • Feedback on order levels and lead times
  • Data to understand cost and cost drivers
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3
Q

What data and feedback does HR need?

A
  • Feedback on staff performance
  • Data to incorporate appraisal and productivity
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4
Q

What data and feedback does shareholders need?

A
  • Feedback on future prospects
  • Data about environmental needs
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5
Q

What data and feedback does employees need?

A
  • Feedback about systems and processes
  • Flag data inefficiencies
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6
Q

What data and feedback does directors need?

A
  • Feedback on clarity of info
  • Data on key metrics
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7
Q

What are the 3 stages of transferring data (ETL)?

A
  • Extraction
  • Transformation
  • Loading
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8
Q

What is data profiling?

A

Prior to extraction, data needs to be analysed to understand content

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9
Q

What is a data warehouse?

A

Store for data loaded in the ETL process

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10
Q

What is the BI function?

A

Access and analyse data further and offers summaries

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11
Q

What are the main trends of modern ETL?

A
  • Unprecedented rate of growth
  • New types and sources
  • New tech
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12
Q

What are the advantages of data modelling?

A
  • Foundation for handling data
  • Enforces business rules
  • Consistency of naming values and conventions
  • Quality of data enhanced
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13
Q

What are the 3 levels of the data modelling process?

A
  • Conceptual
  • Logical
  • Physical
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14
Q

What happens in the conceptual level?

A
  • Business orientated and practical
  • Considers data and requirements
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15
Q

What happens in the logical level?

A
  • Begins to develop a technical map of rules and data structures
  • Defines how data will be held and used
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16
Q

What happens in the physical level/

A

Considers how the defined system requirements will be implemented using a specific database management system (DBMS)

17
Q

What is a data strategy?

A

Coherent approach for organising, governing analysisng and deploying an organisations’ info assets

18
Q

What must a data strategy maximise?

A

4 Vs:
- Volume
- Veracity
- Variety
- Velocity

19
Q

What do management accountants effectively act as?

A

Interface between business functions and data specialists

20
Q

What makes management accountants an effective interface?

A
  • Unique understanding of the finance function
  • Info produced trusted
  • Provides basis of performance across business
  • Credibility and follow ethical guidlines