Data is a valuable commodity and many organisations are now unlocking the information to enable them to make more informed business decisions. Open source data is becoming more and more available and Government of the United Kingdom has a range of open data available for analysis. This assignment is based on extracting information from health data sets to support the development of a range of healthy food products.

Data sets can be found at

http://data.gov.uk/dataset/statistics_on_obesity_physical_activity_and_diet_england

You are expected to analyse and extract information from different data sets using an appropriate data analytics tool which has been taught in class SAS JMP or SAS Enterprise Guide or base SAS. IN this case use the results of your analysis of the data to show the need for a range of healthy food products..

Your report is expected to have the following sections. For each section some ideas of what you might include have been given below:

1. Introduction
Describe the importance of business intelligence and data analytics to public and private sector organisation. Briefly, give an overview of the data which you analysed and why you think analysing this data is important to the various organisations. Methodology
Describe what sequence of activities (analysis and report generation) you are going to perform as part of your business intelligence strategy. You can present this as a list of bullet points or a flowchart, but remember to write a short overview of you methodology at the beginning of this section Describe data sets
In this section describe the data sets you have used. Do not forget to reference any data sets that you have downloaded from the Internet
Analysis Results
In this section you will present the results of your data set analysis. It is recommended that you analyse at least two data sets. More marks will be given where you have selected data sets which have a common relationship between them and where you have joined the data sets using your selected tool. Where you have written your own code in the data analytics tool, include the code that you have written in the appendices along with any appropriate screenshots. Do not forget to include any graphical outputs in your report. However, do remember to annotate where appropriate and describe the results in a business context within your report.
Summary and Conclusion
Finish your report by summarising your results and making some final conclusion on the process. You might what to comment on how easy it was to obtain the data and whether the content was sufficient for analysis.
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