3.4

Question 1

1. Identify the need

Answer 1

Before anything else can take place, objectives are set for what the data analysis will hope to achieve. Aims must be clear and well defined.

Question 2

2. Define the scope

Answer 2

In this stage the restrictions of the project are defined. Scope includes factors such as budget, content, detail, timescales and any further constraits

Question 3

3. Identify potential sources

Answer 3

Project lanners must identify a wide range of sources for the potential information that is it unbiased and covers the objectives.

Question 4

4. Source and select information

Answer 4

Information is gathered from the identified sources in stage three. Any unsuitable data is excluded so that results are not unreliable as poor quality information can lead to numerous negative consequences

Question 5

5. Select the most appropriate tools.

Answer 5

Regression analysis can also be used- regression is the determining of relationships.

Trend analysis is another option- this shows patterns over time for example bottled water consumption each year over the past decade

Question 6

6. Process and analyse data

Answer 6

Data has now been collected and can be inputted into the software such as spreadsheets or databases

Question 7

7. Record and store information

Answer 7

The data has been collected and analyzed and now any findings are written into a report. Any patterns, trends or findings can be described with statical evidence

Question 8

8. Share results

Answer 8

A report is worthless if not shared with the stakeholders. Sharing can take a different forms such as typed document posted out to stakeholders, an email with major findings summarized or as post on a website