Asking Questions to make Data Driven Decisions 1 Flashcards
What are the six data analysis phases?
Ask, Prepare
,Process, Analyze ,Share and Act
What are some questions to consider during the ask phase?
Define the problem you’re trying to solve
Make sure you fully understand the stakeholder’s expectations
Focus on the actual problem and avoid any distractions
Collaborate with stakeholders and keep an open line of communication
Take a step back and see the whole situation in context
what happens in the Prepare phase?
You will decide what data you need to collect in order to answer your questions and how to organize it so that it is useful.
What happens in the process phase?
Clean data is the best data and you will need to clean up your data to get rid of any possible errors, inaccuracies, or inconsistencies.
What happens in the Analyze phase
You will want to think analytically about your data. At this stage, you might sort and format your data to make it easier to:
Perform calculations
Combine data from multiple sources
Create tables with your results
what happens in the Share phase
Everyone shares their results differently so be sure to summarize your results with clear and enticing visuals of your analysis using data via tools like graphs or dashboards.
what happens in the Act phase?
Now it’s time to act on your data. You will take everything you have learned from your data analysis and put it to use.
These six steps can help you to break the data analysis process into smaller, manageable parts, which is called structured thinking. This process involves four basic activities
Recognizing the current problem or situation
Organizing available information
Revealing gaps and opportunities
Identifying your options
A data analyst works for an engineering company, which specializes in aircraft design and development. They help their employer choose the best places to advertise, which include a podcast about the latest trends in airplane engineering and a magazine published by an aviation engineering association. What does this scenario describe?
Reaching a target audience
Which step of the data analysis process includes collecting data for analysis?
Prepare
FIll in the blank: When data professionals _____ data, they eliminate inaccuracies by transforming the data into a more useful format and removing outliers.
clean
Which of the following activities are part of the share step of the data analysis process? Select all that apply.
Summarize analysis results, Use visuals to help people understand data insights
What are the six types of problem types?
Making Predictions, Categorizing things, Spotting something unusual, Identifiying themes, recovering connections, finding patterns
What is an example of making Predictions?
A company that wants to know the best advertising method to bring in new customers is an example of a problem requiring analysts to make predictions. Analysts with data on location, type of media, and number of new customers acquired as a result of past ads can’t guarantee future results, but they can help predict the best placement of advertising to reach the target audience.
what is an example of making Predictions,
A company that wants to know the best advertising method to bring in new customers is an example of a problem requiring analysts to make predictions. Analysts with data on location, type of media, and number of new customers acquired as a result of past ads can’t guarantee future results, but they can help predict the best placement of advertising to reach the target audience.
what is an example of categorizing things
An example of a problem requiring analysts to categorize things is a company’s goal to improve customers satisfaction. Analysts might classify customer service calls based on certain keywords or scores. This could help identify top-performing customer service representative or help correlate certain actions taken with higher customer satisfaction scores.
What is an example of spotting something unusual?
A company that sells smart watches that help people monitor their health would be interested in desigging their software to spot something unusual. Analysts who have analyzed aggregated health data can help product developers determine the rite algorithms to spot and set off alarms when certain data doesn’t trend normally
Identifying themes
By now you might be wondering if there is a difference between categorizing things and identifying themes. The best way to think about it is: categorizing things involves assigning items to categories; identifying themes takes those categories a step further by grouping them into broader themes.
what is an example of Discovering connections?
A third-party logistics company working with another company to get shipments delivered to customers on time is a problem requiring analysts to discover connections. By analyzing the wait times at shipping hubs, analysts can determine the appropriate schedule changes to increase the number of on-time deliveries.
what is an example of Finding patterns
Minimizing downtime caused by machine failure is an example of a problem requiring analysts to find patterns in data. For example, by analyzing maintenance data, they might discover that most failures happen if regular maintenance is delayed by more than a 15-day window
Which problem type involves assigning information to different groups or clusters based on common features?
Categorizing things
A data professional at a snack foods company wants to identify themes related to customer buying patterns and product popularity. How should they proceed?
Group categorized information into broader concepts
Fill in the blank: In the _____ problem type, a data analyst finds similar challenges faced by different entities and combines data and insights to address them.
discovering connections
Which problem type involves using historical data to understand what happened in the past and is therefore likely to happen again?
Finding patterns
what are highly effective questions?
S.M.A.R.T
What does S stand for?
Specific -is the question specific?
what does the M stand for?
Measurable-will the question give you answers that you can measure?
What does the A stand for?
Action oriented-will the answers provide information that helps you devise some type of plan?
what does the R stand for?
Relevant- is the question about the particular problem you are trying to solve?
what does the T stand for?
Time-bound-Are the answers relevant to the specific time being studied?
Questions should be open-ended, what is an example of an open-ended question.
On a scale of 1-10(with 10 being the most important) how important is your car having four wheel drive?
what are the top five features you would like to see in a car package?
Avoid leading questions, what is a leading question?
This product is too expensive, isn’t it?
Avoid close-ended questions, what is an example of a close ended question?
were you satisfied with the customer trial?
Avoid vague questions, what are some examples of vague questions?
Does this tool work for you?
Action-oriented questions are?
A question whose answers lead to change
Cloud is a ?
place to keep data online, rather than a computer hard drive
Data analysis process
the six phases of as,prepare, process ,analyze,share and act whose purpose is to gain insights that drive informed decision-making
Leading question is ?
a question that steers people towards a certain response
Measurable question is a
question who’s answer can be quantified and assessed
problem types are?
the various problems that data analysts encounter, including categorizing things, discovering connections, finding patterns, identifying themes, making Predictions, and spotting something unusual.
relevant questions are?
a question that has significance to the problem to be solvedS
SMART methodology is
a tool determining a question’s effectiveness based on whether it is a specific, Measurable,action-oriented,relevant, and time-bound
