Using Data Analysis Flashcards
What are the 6 steps of the data analysis life cycle?
- Ask
- Prepare
- Process
- Analyze
- Share
- Act
What is People Analytics
The practice of collecting and analyzing data on the people who make up a company’s workforce in order to gain insights to improve how the company operates.
What are 2 other names for People Analytics?
Human resources analytics or workforce analytics
What is Aggregate data
Data collected from multiple sources and compiled into data summaries or summary reports. Typically for the purpose of public reporting or statistical analysis.
Examples of Aggregated data
Examining trends, making comparisons, or revealing information and insights that would not be observable when data elements are viewed in isolation.
What does it mean to PREPARE data?
Decide how you want to relay your progress to interested parties and Identify what data you need to achieve the successful result.
What does it mean to PROCESS data?
Collect, Store, Clean it to make sure it was complete, correct, relevant, and free of errors and outliers. And then Protect the data.
What is Decision Intelligence?
a combination of applied data science and the social and managerial sciences.
What is Data Science?
creating new ways of modeling and understanding the unknown by using raw data. This is also Data Analytics..
What is the data ecosystem?
elements that interact with one another in order to produce, manage, store, organize, analyze, and share data
What is Data-driven decision-making
using facts to guide business strategy
Questions to ask yourself about a project to help find the perfect balance
- What kind of results are needed?
- Who will be informed?
- Am I answering the question being asked?
- How quickly does a decision need to be made?
Which of the following statements best defines data?
Data is a collection of facts.
What are analytical skills?
The qualities and characteristics associated with solving problems using facts. They are Curiosity, understanding context, and having a technical mindset.
A technical mindset
The analytical skill that involves breaking processes down into smaller steps and working with them in an orderly, logical way