I
M
P
A
C & T
100

What is the first stage of the impact cycle?

Identify the question

100

What is the second stage in the impact cycle?

Master the data

100

What is the third step of the impact cycle?


Perform the test plan

100

What is the fourth step in the impact cycle?

Address and refine the results

100

What does the "C" stand for in the impact cycle?

Communicate insights


200

What do you do in this first stage of the IMPACT CYCLE?

You want to identify the questions you may want to answer.

200

What is a data dictionary?

Centralized repository of descriptions for all of the data attributes of the dataset

200

What are the 3 analyses to assess what is considered in rejecting/accepting a loan?

1. debt to income ratios and the number of rejected loans

2. the length of employment and number of rejected loans

3. the credit (or risk) score and number of rejected loans

200

What charts are appropriate for qualitative data and can help address and refine data?

Bar (or column) charts, pie charts, stacked bar charts

*Other charts that function well for showing proportions - tree maps and heat maps, symbol maps, word clouds

*Charts that can depict more complex data - line charts, bow and whisker plots, scatter plots, filled geographic maps 

200

What does the "T" stand for in the impact cycle?

Track outcomes

300

What additional attributes do you want to consider when thinking about identifying the questions you are trying to solve?

1. Who is the audience?

2. What is the scope of the data?

3. How will the results of the data be used?

300

What are the 4 relational database terms?

primary key, foreign key, composite primary key, and descriptive attributes

300

What are the 3 debt to income ratio buckets?

high: debt is greater than 20% of income

medium: debt is between 10-20% of income

low: debt is less than 10% of income

300

What do you do with the data in this stage?

We slice, dice, and manipulate the data to find correlations, test hypotheses, ask further questions, ask peers what they think and revise and rerun the data

300

What are the four key communication objectives?

1. attention

2. understand (what you are talking about)

3. remember (what you are talking about)

4. act (make sure people act)

400

What are the Microsoft track software tools?

excel, power automate, power query, and power bi

400

What are useful, established characteristics of relational databases?

completeness, no redundancy, business rules enforcement, and communication and integration of business processes 

400

What are the four main types of data analytics?

Descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics

400

In what ways can quantitative data be broken into?

ratio and interval data and then discrete and continuous data

400

What are the five steps for better visual storytelling?

1. identify the right data

2. choose the right visualizations

3. calibrate visuals to your message

4. remove unnecessary noise

5. focus attention on what is important

500

What does it mean that the impact cycle is iterative?

Once insights are gained and outcomes are tracked, new more refined questions emerge that may use the same or different data sources with potentially different analyses and so they impact cycle will start again with these new insights and new developed questions

500

What is the ETL process?

1. determine the purpose and scope of the data request

2. obtain the data

3. validate the data for completeness and integrity

4. sanitize the data

5. load the data in preparation for data analysis 

500

What are the eight different approaches to understanding the data?

Classification, regression, similarity matching, clustering, co-occurrence grouping, profiling, link prediction, and data reduction

500

What are the two main approaches that are used by accountants today in regards to descriptive analytics?

Summary statistics: Describe the location, spread, shape, and dependence of a set of observations. These commonly include the count, sum, minimum, maximum, mean or average, standard deviation, median, quartiles, correlation covariance, and frequency that describe a specific measurable value

Data reduction: A data approach that attempts to reduce the amount of information that needs to be considered to focus on the most critical items (e.g., highest cost, highest risk, largest impact, etc.)

500

Which types of charts are appropriate to compare audit revenues by state? Which are not?

are appropriate: bubble chart, stacked column chart, pie chart, and symbol chart

are not: area chart, line chart, column chart, histogram, stacked area chart, waterfall chart