What Are The 6 Phases Of Data Analysis ?

1. Ask

• The analysts need to define what the project would look like and what would qualify as a successful result .

• Ask effective questions and meet the right people.

2. Prepare

• Prepare a timeline in which you will get the work done.

• Decide how you want to relay the progress to the intended parties.

• Decide which data to use for successful result.

• Now develop specific questions to be asked.

• Now establish rules for who would have access to the data being collected.

• Now finalise what data to be collected and how best to visualise the data.

• Brainstorm all the project and data related issues and how to avoid them.

3. Process

• It is important to take consent from the people providing their data.

• The analysts should make sure people understand that their data is being collected, stored, managed and protected.

• Using data ethically is a responsibility of the analyst.

• In order to maintain confidentiality and store the data effectively these are the steps:

• restricted access to the data to limited number of people.

• clean the data to make sure it is correct, complete and relevant.

• Upload raw data to an internal data warehouse for additional security.

4. Analyse

• Now we have to analyse the data.

• It is important to document whatever the analysis is found to be without manipulation, no matter what the result be.

5. Share

• This is the part where the data is shared in the form of reports.

• The report is shared only with the concerned and related authorities

6. Act

• Now the analysts have to team up with the company leaders to act upon the report produced.

• It is the time to implement changes and take specific actions based on their findings.

• The data survey should be conducted periodically and the results should be compared to see if the actions taken worked or not.