The document discusses Mastercard Retail Location Insights 3.0, a spatial analysis tool from Mastercard and CARTO. It provides retailers and real estate professionals insights into questions about e-commerce trends, site consolidation, consumer habits, threats to commercial and residential real estate, and more. The new version includes additional industry and financial data, improved indexes to understand consumer behavior, and greater temporal data granularity. It allows users to analyze factors influencing store performance, understand customer bases and origins, create store forecasts, and provides workflows for business users and data scientists.
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Stepping up your Spatial Analysis with Mastercard Retail Location insights 3.0
1. Stepping up your Spatial Analysis
with Mastercard Retail Location
insights 3.0
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Introductions
Elina Greenstein
Director, Partnership Sales at
Mastercard
Paula Juliá
VP Solutions at CARTO
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Key Questions for Retailers
E-Commerce to Physical
The move to omnichannel - both
into and away from ecommerce.
Site Consolidation
Site closure, consolidation
and repurposing.
Showrooming
Adapting business models to
account for changing consumer
habits.
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Key Questions for Real Estate
Threat of Remote &
Co-Working (Commercial)
The WeWork
phenomenon.
New types of
buyers
(Residential)
Millennials starting to
take on mortgages.
Malls becoming
experiencing centres
Straight Retail isn’t enough
anymore.
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New questions require new data.
8. Where
Where are locations that are under
or overperforming?
You are using a BI platform
Why
Can we predict where successful
locations should be located and the
factors that contribute to
performance?
You need to be using an LI
platform
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Financial
Human Mobility
Road Traffic
Demographics
Housing
POI’s
Environmental
Global Boundaries
10. 2018CARTO — Turn Location Data into Business Outcomes
$105,000 MEDIAN INCOME
12,478 WEDNESDAY VISITORS
22 FAST CASUAL RESTAURANTS 3.8 AVERAGE RAINFALL
824 RETAIL GROWTH SCORE
$360,240 MEDIAN HOME VALUE
45,000 MONDAY CAR TRAFFIC
8 DIRECT COMPETITORS
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Users have different pain points:
Data Science Expansion & Estates Management
“There are so many interesting data
streams out there, but we don’t have
time to speak to so many different
vendors, evaluate them and contract
with all of them. We need to move fast.”
“Our GIS and BI teams are a bottleneck
as they need to deliver on various
geospatial projects. I need fast access
to an intuitive solution.”
“We’re only a small Data Science team to
serve the whole organization, so I don’t
have much time for visualization - I
need to focus on analysis, getting
access to raw data.”
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So, how about financial data?
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Sales
Ranking of total
monthly sales by
location
Ticket Size
Ranking of monthly
average ticket size
Transactions
Ranking of no. of
monthly
transactions by
location
Stability
Variance in retailers
versus the prior
year
Growth
Increase in sales
year over year
2.5bn cards in force 65+ card transactions per year
Credit card spending insights:
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Two ways to access:
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Launching the latest release of MRLI:
● New industry insights and how to
understand spending behaviour with new
categories such as accommodation,
automotive, entertainment and grocery food
stores.
● Improved indexes to understand consumer
behaviour including Total Account, Spend per
Account and Average Frequency.
● Exploring the value of greater temporal
granularity for data analysts to understand
consumer trends.
22. Thanks for listening!
Any questions?
Request a demo at CARTO.COM
Paula Juliá
VP Solutions at CARTO // paula@carto.com
Elina Greenstein
Product Marketing Manager //
Elina.Greenstein@mastercard.com