CARTO Case Studies Using Location in Real Estate Market Analysis Applications

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	Using Location in Real Estate Market Analysis Applications CARTO

Using Location in Real Estate Market Analysis Applications

CARTO

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Real Time Analytics Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Functions	Business Operation Sales & Marketing
Use Cases	Predictive Quality Analytics Real-Time Location System (RTLS) Supply Chain Visibility
Services	Data Science Services System Integration
Challenge	JLL, a global leader in real estate services, was looking to scale their Gea solution in key countries such as the US, Australia, the UK, Italy, and France. The Gea platform brings together thousands of data types on Real Estate assets to ensure accurate valuations and analyses are provided to their clients. Connecting to their Big Data Cloud infrastructure (JLL DataHub) would be fundamental in order to ensure high-quality, automated data pipelines could support frequent updates to the billions of data points that would be available in the solution. However, they faced challenges in localization for different markets, handling big data, and ensuring the final application would be user-friendly for consultants with more commercial profiles. Read More
About Customer	JLL is a world leader in real estate services, powered by entrepreneurial spirit. They have 93,000 employees globally and are present in more than 80 countries. They buy, build, occupy and invest in a variety of assets including industrial, commercial, retail, residential and hotel real estate. Their clients span industries including banking, energy, healthcare, law, life sciences, manufacturing and technology. They manage 5 billion square feet of property and facilities, with 39,000 leasing transactions globally. JLL is also well-known for their adoption of innovative technology and data analytics, through initiatives like JLL Spark, which provides the nimbleness of a startup backed by JLL's expertise and resources. Read More
Solution	JLL turned to CARTO to support the development of their Gea solution. CARTO provided first-class map-based visualizations and data pipeline solutions in one single platform, decreasing complexity, saving a significant amount of time, and avoiding mistakes in the dataops, devops, and GISops process. CARTO’s connectivity to solutions such as Databricks, as well as the platform’s Python package (CARTOframes), significantly reduced the strain on JLL’s Data Science division, allowing them to focus on high-quality spatial analysis that brings value to their consultants and their clients. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Real Time Analytics

Application Infrastructure & Middleware - Data Exchange & Integration

Applicable Functions

Business Operation

Sales & Marketing

Use Cases

Predictive Quality Analytics

Real-Time Location System (RTLS)

Supply Chain Visibility

Services

Data Science Services

System Integration

Challenge

JLL, a global leader in real estate services, was looking to scale their Gea solution in key countries such as the US, Australia, the UK, Italy, and France. The Gea platform brings together thousands of data types on Real Estate assets to ensure accurate valuations and analyses are provided to their clients. Connecting to their Big Data Cloud infrastructure (JLL DataHub) would be fundamental in order to ensure high-quality, automated data pipelines could support frequent updates to the billions of data points that would be available in the solution. However, they faced challenges in localization for different markets, handling big data, and ensuring the final application would be user-friendly for consultants with more commercial profiles.

About Customer

JLL is a world leader in real estate services, powered by entrepreneurial spirit. They have 93,000 employees globally and are present in more than 80 countries. They buy, build, occupy and invest in a variety of assets including industrial, commercial, retail, residential and hotel real estate. Their clients span industries including banking, energy, healthcare, law, life sciences, manufacturing and technology. They manage 5 billion square feet of property and facilities, with 39,000 leasing transactions globally. JLL is also well-known for their adoption of innovative technology and data analytics, through initiatives like JLL Spark, which provides the nimbleness of a startup backed by JLL's expertise and resources.

Solution

JLL turned to CARTO to support the development of their Gea solution. CARTO provided first-class map-based visualizations and data pipeline solutions in one single platform, decreasing complexity, saving a significant amount of time, and avoiding mistakes in the dataops, devops, and GISops process. CARTO’s connectivity to solutions such as Databricks, as well as the platform’s Python package (CARTOframes), significantly reduced the strain on JLL’s Data Science division, allowing them to focus on high-quality spatial analysis that brings value to their consultants and their clients.

Impact #1	Gea has become a fundamental part of JLL’s consulting and commercial strategy, soon available in 8 countries.
Impact #2	The solution provides faster delivery on client mandate, allowing JLL’s consultants to take their clients on a data-driven journey faster.
Impact #3	Gea extends the knowledge of consultants, allowing them to gain market insights in a few clicks and show directly to the client in the interface.

Impact #1

Gea has become a fundamental part of JLL’s consulting and commercial strategy, soon available in 8 countries.

Impact #2

The solution provides faster delivery on client mandate, allowing JLL’s consultants to take their clients on a data-driven journey faster.

Impact #3

Gea extends the knowledge of consultants, allowing them to gain market insights in a few clicks and show directly to the client in the interface.

Benefit #1	52% reduction in the time taken to refresh the Gea solution
Benefit #2	1,500 JLL employees relying on Gea in their day to day work
Benefit #3	500m data points processed per year, and growing

Benefit #1

52% reduction in the time taken to refresh the Gea solution

Benefit #2

1,500 JLL employees relying on Gea in their day to day work

Benefit #3

500m data points processed per year, and growing

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Overview

Using Location in Real Estate Market Analysis Applications

Operational Impact

Quantitative Benefit