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ACCOUNTING INFORMATION SYSTEMS PROJECT USING DATA ANALYSIS

ACCOUNTING INFORMATION SYSTEMS SPRING 2024 TERM PROJECT USING DATA ANALYSIS

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PART ONE

UNDERSTAND the QUESTION

DETERMINE the SCOPE of the QUESTION (Single Company OR Economy as a Whole) – BRIEF ONE PARAGRAPH DESCRIPTION

BASED ON #2, Identify and ListWHAT DATA is NEEDED and AVAILABLE. D

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IDENTIFY and LIST WHERE THE DATA IS LOCATED

  • DETERMINE and LIST HOW TO EXTRACT DATA
  • What are Advantages/Disadvantages? (Descriptive Analytics)

    What are the root causes of the results? (Diagnostic Analytics)

  • What will be the result? What is the probability, is it forecastable? (Predictive Analytics)
  • What should you do, based on what you expect will happen?  How do you optimize our performance based on potential constraints?” (Prescriptive Analytics)

    PART TWO

  • QUESTION- Should we outsource Customer Servive Whatever your conclusion it must be substantiated be specific, detailed data analysis….financial data AND non-financial.
  • List areas of concern. Identify the Relevant Accounting Question and the appropriate tools that were used in your analysis

    We will be using the second part of the textbook for the rest of the course.  There is valuable guidance provided in the textbook.

  • PART THREE
  • REQUIRED – The AMPS  model, Document work steps, Detailed Data Analysis:

    AMPS:Ask the Question – Match one of the accounting questions and appropriate procedures with the question being asked above.

  • Four Types/Themes of Accounting Questions:
  • AMPS:Master the Data

    What data (financial & non financial) do you need to answer/address the question?

    Identify data sources and analytical tools that will be used

  • PART FOUR
  • AMPS:Perform the Analysis-

  • Descriptive analytics are procedures that summarize existing data to determine what has happened in the past.
  • Diagnostic analytics are procedures that explore the current data to determine why something has happened the way it has, typically comparing the data to a benchmark.
  • Predictive analytics are procedures used to generate a model that can be used to determine what is likely to happen in the future.

    Prescriptive analytics are procedures that model data to enable recommendations for what should be done in the future.

    Spreadsheets – Basic Formula and functions

    References – how to connect other data in the spreadsheet

    Macros – how to automate processes that are repetitive

    Pivot

    Tables

    – often a very functional tool for many types of summarizations and also serves as a way to help organize the data

    Query – Used to access the data needed for analysis

    Using VLOOKUP in Excel to retrieve data from different databases

    Understand how SQL might be used to access specific data from large datasets

    State your conclusion. What is the best way to communicate what you have found in your data analysis?

    Static Visualizations

    Reports

    Graphs

    Tables

    Diagrams/Flowcarts

    PART FIVE

    AMPS: Share the Story

    ACCOUNTING INFORMATION SYSTEMS SPRING 2024 TERM PROJECT USING
    DATA ANALYSIS
    PART ONE
    1- UNDERSTAND the QUESTION
    2- DETERMINE the SCOPE of the QUESTION (Single Company OR Economy as a Whole)
    – BRIEF ONE PARAGRAPH DESCRIPTION
    3- BASED ON #2, Identify and List WHAT DATA is NEEDED and AVAILABLE. D
    4- IDENTIFY and LIST WHERE THE DATA IS LOCATED
    5- DETERMINE and LIST HOW TO EXTRACT DATA
    PART TWO
    QUESTION- Should we outsource Customer Servive Whatever your conclusion it must be
    substantiated be specific, detailed data analysis….financial data AND non-financial.
    List areas of concern. Identify the Relevant Accounting Question and the appropriate tools that
    were used in your analysis
    We will be using the second part of the textbook for the rest of the course. There is valuable
    guidance provided in the textbook.

      PART THREE

    REQUIRED – The AMPS model, Document work steps, Detailed Data Analysis:
    AMPS: Ask the Question – Match one of the accounting questions and appropriate procedures
    with the question being asked above.

      Four Types/Themes of Accounting Questions:

    What are Advantages/Disadvantages? (Descriptive Analytics)
    What are the root causes of the results? (Diagnostic Analytics)
    What will be the result? What is the probability, is it forecastable? (Predictive
    Analytics)
    What should you do, based on what you expect will happen? How do you
    optimize our performance based on potential constraints?” (Prescriptive
    Analytics)
    AMPS: Master the Data –
    What data (financial & non financial) do you need to answer/address the question?
    Identify data sources and analytical tools that will be used
    PART FOUR
    AMPS: Perform the AnalysisDescriptive analytics are procedures that summarize existing data to determine what has
    happened in the past.
    Diagnostic analytics are procedures that explore the current data to determine why something
    has happened the way it has, typically comparing the data to a benchmark.
    Predictive analytics are procedures used to generate a model that can be used to determine
    what is likely to happen in the future.
    Prescriptive analytics are procedures that model data to enable recommendations for what
    should be done in the future.
    Spreadsheets – Basic Formula and functions
    References – how to connect other data in the spreadsheet
    Macros – how to automate processes that are repetitive
    Pivot Tables – often a very functional tool for many types of summarizations and
    also serves as a way to help organize the data
    Query – Used to access the data needed for analysis
    Using VLOOKUP in Excel to retrieve data from different databases
    Understand how SQL might be used to access specific data from large datasets
    PART FIVE
    AMPS: Share the StoryState your conclusion. What is the best way to communicate what you have found in your
    data analysis?
    Static Visualizations
    Reports
    Graphs
    Tables
    Diagrams/Flowcarts
    Identify your Data Sources
    Aprox. 4 – 5 pages.

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