Intro to Data Analysis - Module 1
Enterprise Data Environment
A place where raw data is staged so it can be organized, cleaned, and optimized for end-users.
what are end-users?
Business stakeholders, analysts, and programmers who need access to the data.
What are the three parts of a modern data ecosystem?
1. Data
2. An enterprise data environment
3. End-users
What are the four primary types of data analysis?
1. Descriptive Analytics
2. Diagnostic Analytics
3. Predictive Analytics
4. Prescriptive Analytics
Descriptive Analytics
Helps decode "What happened."
Diagnostic Analytics
Helps explain "Why it happened."
Predictive Analytics
Analyzes historical data and trends to suggest "What may happen next."
Prescriptive Analytics
Prescribes "What should be done next."
Looks internally.
Describe the 4 steps of the Data Analysis Process
1. Developing an understanding of the problem and the desired outcome.
2. Setting a clear metric for evaluating outcomes.
3. Gathering, cleaning, analyzing and mining data to interpret results.
4. Communicating the findings in ways that impact decision-making.
What does a Data Analyst do?
1. ACQUIRE - gathers data that best fits the use-case
2. ANALYZE - find connections or trends in data gathered
3. COMMUNICATE - communicates their findings to relevant stakeholders
4. DOCUMENT - Keep process maintained