Retail & ecommerce · Databricks

Jones Lang LaSalle (JLL): Shaping the future of real estate for a better world

Public case study · not a Metric Oak engagement

Reduction in time to execute ETL jobs: 60%
Employees equipped with new skills from the bespoke Databricks Odyssey training program: 100+
Learning activities completed involving Databricks since launch: 1,250+

What happened

The story in brief

A global commercial real-estate firm wanted to build data and AI skills across its technology division. A dedicated training programme on Databricks equipped hundreds of employees with new skills and drove broad platform adoption.

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Retail & ecommerce · Databricks
84.51
62M
Households served
Retail & ecommerce · Databricks
Ahold Delhaize
50%
Cost reduction
Retail & ecommerce · Databricks
Air Miles
80TB
Of retail consumer data ingested to support the AIR MILES Reward Program

Related insights

Frequently asked questions

What results did Jones Lang LaSalle (JLL) report?

Jones Lang LaSalle (JLL) reported 60% reduction in time to execute ETL jobs; 100+ employees equipped with new skills from the bespoke Databricks Odyssey training program; 1,250+ learning activities completed involving Databricks since launch, according to its customer story published by Databricks.

Which platform and technologies did Jones Lang LaSalle (JLL) use?

Jones Lang LaSalle (JLL) used Databricks, including Databricks SQL, Apache Spark.

How do these results compare with other retail & ecommerce programs?

See our retail & ecommerce benchmark for median cost reductions and speed-ups across published results in the industry.

Source

Customer story published by Databricks: Shaping the future of real estate for a better world (opens databricks.com in a new tab) on databricks.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.

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