STATA/SPSS Analysis of ONS Wealth & Assets Survey data

Project status
Project posted
2nd January 2017
Project duration (approx.)
7.0 Days
Budget (approx.)
£240 / day
Level of Experience
Junior
Industry
Investment Management
Area of expertise
Big Data / Data Analytics
Consultant location
Off-site

Background & Objectives

Description

MMC Ventures is a UK Venture Capital firm (est. 2000) actively investing in Series A deals within the technology sector.

Main Objectives

• Segment sections of the population by their propensity to invest, and find out more detailed characteristics about them
• See how these segments have changed over time from 2006-2014 (data permitting)
• If other forms of data arise that look relevant to question at hand, please highlight and project may adapt accordingly

Data underlies this release by ONS
https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/incomeandwealth/compendium/wealthingreatbritainwave4/2012to2014

...but we plan to investigate further than their breakdowns provide depth on specific more high net worth segments relevant to our portfolio company.

Broader Objectives

We’re working on a project for a company that provides an online share trading and investment platform. The company’s service enables people to do conduct trades online, invest their ISAs & SIPPs, and access information to help their investment decisions. To help the company plan, we’d like to better understand the nature of the UK market - what different groups of people there are financially, and what characteristics they have - in order to better understand what segments may be worth targeting more.

Key deliverables

Freelancer will need to deliver (remotely)

Timeline

• Initial 1-2 days to scope project and confirm methodology of data analysis
• c. 1.5 weeks to provide initial drop
• Iteration with final amendments

Project Outline

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Step 1

Cluster the population into a limited number of groups based on the 'Main criteria', giving total size and detail into the 'Secondary characteristics' of these segments.

Main criteria
• Income
• Age
• Total Financial Wealth
• Value of Investment ISA
• Value of UK Shares

Then analyse these breakdowns with how they compose of these secondary financial characteristics

Secondary Financial Characteristics
• Total value of savings accounts
• Gross annual income from investments

Secondary Demographic Characteristics
• Legal marital status
• Size of household
• Gender
• Status
• Educational qualifications

Secondary Financial Characteristics
• Estimated value of unit investment trusts
• Current value of unit investment trusts
• About how much money have you invested in shares in the last two years?
• Total pension value
• Type of assets in SIPP
• Mortgage status (if in dataset)

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Step 2

• Conduct time series to see how these clustered individuals are changing within the population from 2006-2014
• Project how these segments will change in the next 5-10 years

Output does not have to be in slide format.

Consultant requirements

- Strong data analytics skills, with STATA or programs that use SPSS data.

- Understanding of what (general) factors cause an individual to invest, to be able to spot creative ways to utilise the dataset beyond our requests

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