Visual Decision Making - FSTVisual Decision Making Matt Lythe Head of Geospatial Solutions August...

Visual Decision Making

Matt Lythe

Head of Geospatial Solutions

August 2018

© 2018 CoreLogic, Inc. NYSE:CLGX] All Rights Reserved. Proprietary. Our Insights. Your Story.

Topics

• CoreLogic and the property ecosystem

• What is Visual Analytics

• Visual Decision Making Examples

1. Market Value – from geographic region to street

2. Buyer classification – over time and space

3. Relationship mapping

4. Performance monitoring

• Out-takes

2


CoreLogic

at a Glance

3


Insurance

Carriers

CoreLogic connects the property ecosystem

Public Sector

Utilities

Buyers

Lenders

Sellers

Contractors

Investors

Valuers

Real Estate Agents

Mortgage Brokers

Homeowners

Home Improvement

Internet of Things

OEM

Inspectors

Insurance Companies

4


Residential property underpins NZ’s wealth

5

As at the end of March 2018

Residential Real Estate

$1.08 Trillion($249 Billion in home loans)

NZ Listed Stocks

$127 Billion

NZ Super and KiwiSaver

$79 Billion

Commercial/ Industrial Real Estate

$201 Billion

1.6 millionNumber of

dwellings

$247 billionOutstanding

mortgage debt

55.8%Household wealth

held in housing

90,482Total sales p.a.

$56.3 billionGross value of

sales p.a.


What is Visual Analytics?

6


is the science of

analytical reasoning

facilitated by interactive

visual interfaces

Visual Analytics…

7


Case Study 1 –

Understanding Market Value

8


Mapping the Market New Zealand

Space and time discovery of market performance in the main centres

Mapping the Market NZ

2013 2018

http://clnz.maps.arcgis.com/apps/MapJournal/index.html?appid=dcaa9830d5604b52b42773fe1fbe6a5b

© 2018 CoreLogic, Inc. NYSE:CLGX] All Rights Reserved. Proprietary. Our Insights. Your Story.10

Housing Affordability – a space-time analysis

../../Video/avm_visualisation2.avi


• The Mapping the Market tool shows changes in market value across NZ’s main centres

over two time periods – May 2013 and May 2018

• Its interactive format provides valuable insight into how property values change across cities and the country, as well as how values have shifted over time.

• The decline in affordable housing over Auckland is clear on the video showing the

disappearance of properties under $650,000 over the past decade

• Using grids shows the importance of scale on property value, with variations at city, town,

neighbourhood and street level

Questions these visual analytics answer

11

© 2018 CoreLogic, Inc. NYSE:CLGX] All Rights Reserved. Proprietary. Our Insights. Your Story. 12

Case Study 2 –

First Home Buyers


First Home Buyer Behaviour

13

http://clnz.maps.arcgis.com/apps/MapJournal/index.html?appid=ebd7ea9eb00c419b8c9043ce254b743d


• Where are the First Home Buyers?

• How has their behavior changed over time?

• How is each main centre performing?

• Where are the affordable homes?

• Where should the government focus efforts around Kiwibuild?

Questions this visual analytic answers

14


Case Study 3 -

Relationship Mapping

15


Change in Property

Value between 2012

and 2017

Auckland

< 25%

25% - 50%

50% - 75%

75% - 100%

> 100%


Crown owned

Residential

Housing

Density

Auckland

1 - 10

10 - 50

50 - 100

100 - 200

200+


Crown owned Residential

Housing Density Map

Christchurch

1 - 10

10 - 50

50 - 100

100 - 200

200+


Crown owned Residential Housing

Density Map

Hamilton

1 - 10

10 - 50

50 - 100

100 - 200

200+


Relationship between property

value change and Crown

residential property

Wellington

< 25%

25% - 50%

50% - 75%

75% - 100%

> 100%

1 - 10

10 - 50

50 - 100

100 - 200

200+


Relationship between property value

change and Crown residential

property

Lower Hutt

< 25%

25% - 50%

50% - 75%

75% - 100%

> 100%

1 - 10

10 - 50

50 - 100

100 - 200

200+


Relationship between property value

change and Crown residential

property

Auckland

< 25%

25% - 50%

50% - 75%

75% - 100%

> 100%

1 - 10

10 - 50

50 - 100

100 - 200

200+


Value Change in Auckland by Residential Crown Property Density

0 1 - 25 25 - 50 50 - 100 100 - 200 200+

90%

86%

91%93%

95%

102%

Mean

Crown Property Density

Valu

e C

hange (

5 y

ears

)


Property Value in relation to Crown parks


Relationship

Mapping

Capital Value

v

Land Value


• There is no significant correlation between the rate of change in property value and the

density of Crown residential property across the country

• Other factors such as affordability, transport routes, school zoning and property condition

are more influential on property value

• The bivariate choropleth map shows where capital value is appropriate to land value

Questions these visual analytics answer

26


Case Study 4 –

Performance Monitor

27

© 2018 CoreLogic, Inc. NYSE:CLGX] All Rights Reserved. Proprietary. Our Insights. Your Story.28

Interactive dashboardsAn interactive dashboard illustrates how visual analytics is possible using a combination of

maps, dials, charts and query filters to present business indicators

http://clnz.maps.arcgis.com/apps/webappviewer/index.html?id=2c71ea27a2244d8088c5545a616765e4


• What is my market share?

• How are my channels performing?

• How does this relate to housing stock age and market value?

• What are different buyer classes doing?

• How many sales have there been in this period?

Questions this visual analytic answers

29


• The world is increasingly being modeled digitally, blending scientific techniques in the

process.

• Actionable intelligence is achieved through the human interpretation of geospatially

presented data

• Geospatial platforms allows decision makers to vet their assumptions and make changes

to their visualisations on the fly

• A deeper analysis provides a more refined view of the locations and density at which

customer segments change

Summary

30


Matt Lythe

Head of Geospatial Solutions

[email protected]

Thank You

31

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