ACG 3842 - Accounting Applications of Data Analytics CH 1

0.0(0)
studied byStudied by 0 people
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
Card Sorting

1/39

flashcard set

Earn XP

Description and Tags

Chapter 1: Ask the Question: Using Data Analytics to Address Accounting Questions

Accounting

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

40 Terms

1
New cards

Critical Thinking

A manner of thinking that employs curiosity, creativity, skepticism, analytics, and logic.

2
New cards

Bloom's Taxonomy

A hierarchical view of critical thinking and learning skills, consisting of six levels: (1) Remembering, (2) Understanding, (3) Applying, (4) Analyzing, (5) Evaluating, and (6) Creating.

3
New cards

Where Machines Excel

Machines excel at the lower-level thinking skills of (1) Remembering, (2) Understanding, and (3) Applying.

4
New cards

Where Accountants Must Play

Accountants must focus on higher-level thinking skills such as (4) Analyzing, (5) Evaluating, and (6) Creating.

5
New cards

Descriptive Analytics

Analysis that seeks to answer what happened or what is happening.

6
New cards

Diagnostic Analytics

Analysis that seeks to answer why something happened and what the root causes are.

7
New cards

Predictive Analytics

Analysis that seeks to forecast future events or outcomes based on current data.

8
New cards

Prescriptive Analytics

Analysis that provides recommendations for actions to optimize performance.

9
New cards

AMPS Model

A framework for performing data analytics involving Ask the Question, Master the Data, Perform the Analysis, and Share the Story.

10
New cards

Data Integrity

The accuracy, validity, and consistency of data used and stored over time.

11
New cards

Data Visualization

The representation of information as a graph, chart, or other image.

12
New cards

Static Visualization

Characterized by the lack of constant update, change, or activity.

13
New cards

Dynamic Visualization

Characterized by constant update, change, or activity.

14
New cards

Bar Chart

A common visualization type used to compare values across different categories.

15
New cards

Pie Chart

A visualization type used to show the composition of values from a whole.

16
New cards

Histogram

A representation of the distribution of numerical data.

17
New cards

Scatterplot

A type of graph used to determine relationships between two variables.

18
New cards

Regression Analysis

A statistical method used to evaluate the relationship between variables.

19
New cards

Pivot Table

A data summarization tool used in Excel to reorganize and summarize selected data.

20
New cards

Cash Flow Analysis

An evaluation of the cash inflows and outflows for a business.

21
New cards

Benford's Law

A statistical principle used to identify anomalies in datasets and detect fraud.

22
New cards

What-If Analysis

A technique to evaluate how changes in input variables impact outcomes.

23
New cards

Excel

A basic tool commonly used for data acquisition, preparation, analysis, and visualization.

24
New cards

Alteryx

A tool for data preparation and performing data analytics.

25
New cards

SQL (Structured Query Language)

A language used to access specific data from large datasets in databases.

26
New cards

Tableau

A data visualization tool used for creating interactive and shareable dashboards.

27
New cards

Power BI

A business analytics service that provides interactive visualizations and business intelligence capabilities.

28
New cards

Data Acquisition Tools

Software tools used to access and prepare data for analysis.

29
New cards

Data Analysis Tools

Software tools used to analyze the data after preparation.

30
New cards

Data Visualization Tools

Software tools used to present the data analysis results.

31
New cards

Analytics Mindset (EY)

Ask the right questions. Extract, transform, and load relevant data. Apply appropriate data analytic techniques. Interpret and share the results with stakeholders.

32
New cards

Analytics

The discovery, interpretation, and communication of meaningful patterns in data.

33
New cards

Stakeholders

Individuals or groups with an interest or investment in the outcome of a project or analysis.

34
New cards

Trade-offs

Balancing different factors in decision-making, considering benefits versus costs.

35
New cards

Factual Data

Information that can be verified and is not based on opinions.

36
New cards

Opinion-based Data

Information that reflects personal beliefs or interpretations rather than facts.

37
New cards

Categorical Data

Data that can be divided into groups based on characteristics.

38
New cards

Numerical Data

Data that consists of numbers and can be quantified.

39
New cards

Visualization Examples

Specific graph types such as bar charts, line graphs, and scatterplots used for different analytical purposes.

40
New cards

Dashboard

A graphical summary of various measures tracked by a company.