Problem Solving And Effective Questioning

Question 1

Structured thinking

Answer 1

The process of recognizing the current problem or situation, organizing available information, revealing gaps and opportunities

Question 2

What is the purpose of Structured thinking

Answer 2

break the data analysis process into smaller, manageable parts

Question 3

Problem type: Making predictions

Answer 3

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.

Question 4

Problem type: categorize

Answer 4

An example of a problem requiring analysts to categorize things is a company’s goal to improve customer satisfaction. Analysts might classify customer service calls based on certain keywords or scores. This could help identify top-performing customer service representatives or help correlate certain actions taken with higher customer satisfaction scores.

Question 5

Problem type: spotting something unusual

Answer 5

A company that sells smart watches that help people monitor their health would be interested in designing their software to spot something unusual. Analysts who have analyzed aggregated health data can help product developers determine the right algorithms to spot and set off alarms when certain data doesn’t trend normally.

Question 6

Problem type: identifying connections

Answer 6

User experience (UX) designers might rely on analysts to analyze user interaction data. Similar to problems that require analysts to categorize things, usability improvement projects might require analysts to identify themes to help prioritize the right product features for improvement. Themes are most often used to help researchers explore certain aspects of data. In a user study, user beliefs, practices, and needs are examples of 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.

Question 7

Problem type: discovering themes

Answer 7

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.

Question 8

Problem type: finding patterns

Answer 8

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.

Question 9

Problem type: finding patterns

Answer 9

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.

Question 10

Problem types: diff types of problems require different solutions

Answer 10

Making predictions
Categorizing things
Spotting something unusual
Identifying themes
Discovering connections
Finding patterns
As you move through this program, you will develop a sharper eye for problems and you will practice thinking through the problem types when you begin your analysis. This method of problem solving will help you figure out solutions that meet the needs of all stakeholders.

Question 11

Problem types: diff types of problems require different solutions

Answer 11

Making predictions
Categorizing things
Spotting something unusual
Identifying themes
Discovering connections
Finding patterns
As you move through this program, you will develop a sharper eye for problems and you will practice thinking through the problem types when you begin your analysis. This method of problem solving will help you figure out solutions that meet the needs of all stakeholders.

Question 12

Smart questions

Answer 12

Effective questions meaning the answers get you to an end goal. Same as smart goals:

Specific:

Is the question specific? Does it address the problem? Does it have context? Will it uncover a lot of the information you need?

Specific:

Is the question specific? Does it address the problem? Does it have context? Will it uncover a lot of the information you need?

Measurable: Will the question give you answers that you can measure?

Action-oriented: Will the answers provide information that helps you devise some type of plan?

Relevant: Is the question about the particular problem you are trying to solve?

Time-bound: Are the answers relevant to the specific time being studied?

Question 13

Report

Answer 13

Static collection of data at the time. A snapshot of a period of time

Question 14

Dash board

Answer 14

Living updating summary of now.

Question 15

Volume

Answer 15

Amount of data

Question 16

Variety

Answer 16

Different kinds of data

Question 17

Veracity

Answer 17

Quality and reliability of data

Question 18

Velocity

Answer 18

How fast data CAN BE processed

Question 19

Velocity

Answer 19

How fast data CAN BE processed

Question 20

Sow

Answer 20

Scope of work: outlines simply for everyone

Question 21

Primary key

Answer 21

is a field within a table that is a primary key in another table. A table can have only one primary key, but it can have multiple foreign keys. These keys are what create the relationships between tables in a relational database, which helps organize and connect data across multiple tables in the database.