stages of analysis

stages of analysis

1. 1) identify of need. The objectives of ANY data analysis program will be set.

   • end of this stage should be clear what is hoped to be learnt, this would include info required by finished product.

2. 2) define the scope. the restrictions of the project, EG overall budget for the project.

3. 3) identify potential resources. the planners have to have a wide range of sources to show that the knowledge is suitable. provides enough information to cover the objectives and is unbiased.

4. 4) source and select info. this stage where best info out of source is picked. The gathering process use existing information for example sales figures or population growth projections. The selection process is intended to exclude and information that may not be suitable.

5. 5) most appropriate tools. charts n graphs present info so that patterns can be identified. Regression analysis considers how changing only one of many different variables affects an outcome, Trend analysis can be presented in many different ways but it attempts to present findings over time rather than at one precise moment.

6. 6) process and analysis. this is the stage at which the data that has been collected is entered into software and analysed. For example data could be entered into a spreadsheet and a graph produced to show the data visually.

7. 7) record and store info, This is the stage at which any report into the findings is written. This includes all of the results that have been processed.

8. share results, this is the final stage and is where results are published so that stakeholders can inspect them. This may be in the form of a written printed report or could be pages on a website for example.