CASE STUDY MORTGAGE APPROVAL TIME
MAT 510 WEEK 8 FINAL PPTX PACKAGE FULL
INSIGHTS 2026
◉ What is a potential problem to consider in the planning phase?
A. Lack of clear focus on stakeholders, timeline, limitations, and budget
B. Quality and type of data may make access more difficult
C. Some cleaning techniques could dramatically change data/outcomes
D. Outliers not dealt with can cause problems with statistical models due
to excessive variability.. Answer: A
◉ In what phase does the analyst identify the stake holders and research
questions?. Answer: Business Understanding/Planning/Discovery
◉ In what phase does the analyst deal with the following:
Gather/collect data from a variety of sources
Provide structure to data accessible via relational databases (SQL)
Build data pipeline (ETL)
Use of API to download data from an external source. Answer: Data
acquisition
◉ In what phase does the analyst deal with the following:
,Fixing improperly formatted values
Dealing with duplicates, missing data, and outliers
Data reduction. Answer: Data cleaning/wrangling/scrubbing/munging
◉ In what phase does the analyst deal with the following:
Central Tendency/ Measures of center (e.g., mean, median, mode),
variability (e.g., standard deviations and quartiles) and distributions
(e.g., normal, skewed, etc)
Identify basic correlations between variables
Pattern discovery. Answer: Data exploration/Exploratory Data
Analysis(EDA)/Descriptive Statistics
◉ In what phase does the analyst deal with the following:
Estimate/project future values or likelihood of an event.
Extend correlations found in EDA to mathematical models
Predict/determine output values based on input values
Cross-validation of predictive models to ensure accuracy.. Answer:
Predictive Modeling/Data Modeling/Correlation based
models/Regression models/Time Series
, ◉ In what phase does the analyst deal with the following:
Creating training and testing datasets to build models from
Identify/detect patterns
Determine if groups (clusters) exist in data
Classify data into groups
Create models that "learn" and improve (e.g., machine/deep learning, AI,
etc). Answer: Data Mining/Machine Learning/AI/Supervised,
Unsupervised Models
◉ In what phase does the analyst deal with the following:
Tell a story with data
Provide a summary of analytic analysis
Provide insights to stakeholders
Create insightful graphs that showcase trends and forecasts. Answer:
Reporting and visualization/Dashboards
◉ What is a potential problem in the data acquisition/query/collection
step?. Answer: Quality and type of data may make access more difficult
◉ What are two potential problems in the Data Cleaning/Wrangling
step?. Answer: Some cleaning techniques could dramatically change
data/outcomes
MAT 510 WEEK 8 FINAL PPTX PACKAGE FULL
INSIGHTS 2026
◉ What is a potential problem to consider in the planning phase?
A. Lack of clear focus on stakeholders, timeline, limitations, and budget
B. Quality and type of data may make access more difficult
C. Some cleaning techniques could dramatically change data/outcomes
D. Outliers not dealt with can cause problems with statistical models due
to excessive variability.. Answer: A
◉ In what phase does the analyst identify the stake holders and research
questions?. Answer: Business Understanding/Planning/Discovery
◉ In what phase does the analyst deal with the following:
Gather/collect data from a variety of sources
Provide structure to data accessible via relational databases (SQL)
Build data pipeline (ETL)
Use of API to download data from an external source. Answer: Data
acquisition
◉ In what phase does the analyst deal with the following:
,Fixing improperly formatted values
Dealing with duplicates, missing data, and outliers
Data reduction. Answer: Data cleaning/wrangling/scrubbing/munging
◉ In what phase does the analyst deal with the following:
Central Tendency/ Measures of center (e.g., mean, median, mode),
variability (e.g., standard deviations and quartiles) and distributions
(e.g., normal, skewed, etc)
Identify basic correlations between variables
Pattern discovery. Answer: Data exploration/Exploratory Data
Analysis(EDA)/Descriptive Statistics
◉ In what phase does the analyst deal with the following:
Estimate/project future values or likelihood of an event.
Extend correlations found in EDA to mathematical models
Predict/determine output values based on input values
Cross-validation of predictive models to ensure accuracy.. Answer:
Predictive Modeling/Data Modeling/Correlation based
models/Regression models/Time Series
, ◉ In what phase does the analyst deal with the following:
Creating training and testing datasets to build models from
Identify/detect patterns
Determine if groups (clusters) exist in data
Classify data into groups
Create models that "learn" and improve (e.g., machine/deep learning, AI,
etc). Answer: Data Mining/Machine Learning/AI/Supervised,
Unsupervised Models
◉ In what phase does the analyst deal with the following:
Tell a story with data
Provide a summary of analytic analysis
Provide insights to stakeholders
Create insightful graphs that showcase trends and forecasts. Answer:
Reporting and visualization/Dashboards
◉ What is a potential problem in the data acquisition/query/collection
step?. Answer: Quality and type of data may make access more difficult
◉ What are two potential problems in the Data Cleaning/Wrangling
step?. Answer: Some cleaning techniques could dramatically change
data/outcomes
