ANSWERS
Six steps of the data analysis process - ANS Ask, Prepare, Process, Analyze, Share, Act
Ask phase - ANS Work to understand the challenge to be solved or the question to be
answered. Likely be assigned to you by stakeholders
Process phase - ANS Clean and organize your data. Removing any inconsistencies, filling in
missing values, changing data to a format that's easier to work with.
Prepare phase - ANS Find and collect the data you'll need to answer your questions. Identify
data sources, gather data, and verify that it is accurate and useful.
Analyze phase - ANS Doing the necessary data analysis to uncover answers and solutions.
Also examining trends and patterns.
Share phase - ANS When you present your findings to decision-makers through a report,
presentation, or data visualizations. You also decide which medium you want to share your
findings and select the data to include.
1
Page
@COPYRIGHT @THEBRIGHT 2025/2026
, Act phase - ANS Putting the data insights into action. This could mean, implementing a new
business strategy, making changes to a website, or any other action that solves the initial
problem.
Data ecosystems - ANS The various elements that interact with one another in order to
produce, manage, store, organize, analyze, and share data
Data-driven decision making - ANS Using facts to guide business strategy
Data design - ANS how you organize information
Data strategy - ANS The management of the people, processes, and tools used in data
analysis A strategy for achieving success
5 aspects of analytical thinking - ANS visualization, strategy, problem-orientation,
correlation, big-picture and detail-oriented thinking
Root cause - ANS The reason why a problem occurs
Gap Analysis - ANS A method for examining and evaluating how a process works currently in
order to get where you want to be in the future
The five whys - ANS The root causes analysis technique that asks WHY five times. The
problem is looked into deeper each time WHY is asked. Toyota developed this technique.
six stages to the data life cycle - ANS plan, capture, manage, analyze, archive, destroy
plan (data life cycle) - ANS Decide what kind of data is needed, how it will be managed, and
2
who will be responsible for it.
Page
@COPYRIGHT @THEBRIGHT 2025/2026