3.4 Stages Of Analysis Flashcards
What is data analysis
Process of identifying and collecting data to be viewed and modelled in order to identify:
Patterns
Trends
Used for decision making and conclusions
1) Identify the need
Objectives are set for what the data analysis hopes to achieve
Aims must be clear and well defined
2) Define the scope
Restrictions of the project are defined
These are factors such as:
Budget
Content
Details
Timescales
3) identify potential sources
Planners must identify a wide range of sources for potential information ensuring that is it unbiased and covers the objectives
4) source and select information
Information is gathered from stage 3
Unsuitable data is excluded so results aren’t poor or unreliable otherwise it can lead to negative consequences
Planners will need to determine the accuracy and reliability of information from the identified soirées
5) select the most appropriate tools
E.g graphs or charts for visual representation
Regression analysis: determining of relationships
E.g of ^: if the amount spent on advertising bottled water increases will consumption increase or are their other factors?
Best way to remember this is thinking of the IV and DV in a science study and the other factors are extraneous variables
Trend analysis: shows patterns over time
6) process and analyse data
Data can now be inputted into a software such as:
Spreadsheets
Databases
For further analysis.
Putting data into a spreadsheet allows for analysis to begin as graphs can be created to identify patterns or trends
7) record and store information
Findings are now written into a report
Patterns or trends can be described with statistical evidence from the analysis
8) share results
A report is worthless if it isn’t shared with stakeholders
Sharing can be done through:
Typed documents
An email with summarised findings Or:
Posted on the website (summarised findings)
