This document outlines an assessment involving research to identify suitable locations for a bank's roadshow targeting young professionals. It provides a scenario where the student must research census data and use a spreadsheet to analyze locations with substantial numbers of young professional workers. The student must then produce: 1) Notes on the selected dataset; 2) A report identifying potential locations using management information from their analysis; 3) A document validating their findings; and 4) An email to their team justifying the information. The document provides guidance on selecting UK census data from NomisWeb to complete the tasks.

1. UNIT 3 ASSESSMENT 2
Information Handling

2. Objectives
• The purpose of this assessment is:

3. Scenario
You are working in the publicity office of a large
bank as a junior publicity and media officer. You
are now required to carry out some research to
identify suitable target locations for the next
roadshow tour which is targeting saving and
investment opportunities for young professionals.

4. Scenario…
These locations should be in areas where there
are likely to be substantial numbers of young
people in professional employment. This research
will produce some reports identifying likely
locations for the roadshow to set up.
Identify a dataset to process into information for
your reports. The data you will need for these
tasks can be found using the school VLE or you
may use any other appropriate sources. Download
your data into a spreadsheet or database.

5. Tasks – there are 4!
Task 1 (P6)
Produce some notes on where the dataset was found and why it was
selected.
Task 2 (P7)
Use a spreadsheet or database for processing the data you find into
useful management information identifying some suitable locations
where the roadshow is likely to find young professional workers.
Task 3 (M3)
You have been asked to produce a front sheet to your reports
explaining how the information you generated is valid, accurate and
useful. This will ideally be a single page, two pages maximum, so
management reading the report s can understand the validity of your
findings.
Task 4 (D2)
Produce a substantial email to your team justifying the information you
selected to support these business decision-making processes.

6. What you will need to produce
Task 1 (P6)
“some notes” – word processed, with hyperlinks and detailed
explanation of how the dataset was downloaded
Task 2 (P7)
“useful management information” – not simply a list in Excel
(though this will be behind the management information! A
written report showing (perhaps graphically along with the text
where the best locations are
Task 3 (M3)
“a front sheet to your reports” – a word processed page entitled
“Validity, Accuracy and Usefulness”
Task 4 (D2)
“a substantial email” – umm, yeah, that.

7. Selecting a data source
• Of course you can ignore this suggestion – but you’d
better have a pretty good plan as it took me an hour to
find the most appropriate source from Census data!
• First task: find out about the UK national census – what is
it, when has it happened, what kinds of data are collected,
how can it be used by organisations?
5 minutes

8. Downloading Census Data
• There are several different government sites that 2011
census data can be downloaded from
• www.ons.gov.uk – Office for National Statistics
• neighbourhood.statistics.gov.uk
• www.nomisweb.co.uk – “Official Labour Market Statistics”
• Census data takes a long time to be entered and process
and released – most of this data has been released in the
last 6 months

9. Downloading Data from NomisWeb
• You will need to produce notes on why the data from
Nomis is the most appropriate source
• For now, follow along as we find the right download!

10. Data from Nomis

11. Task 1 (P6)
• Produce some notes on where the dataset
was found and why it was selected.
• This is notes! Not a full on report at this
stage
• This should form part of the final report

12. Analysing the Data
Things to use:
• Filters
• Formulas
• Graphs
Things to think about:
• Is the absolute number of professionals as important as
the percentage of professionals in the area?
• How could we look at concentrations of young people –
our data is 16-49? Other data sets?
• Once you make a decision how will you present it?