June 8th:

How to Scale Data Governance Across your Modern Data Stack

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Join industry leaders from dbt Labs, Fivetran, Snowflake, and data.world to learn about the evolving world of metadata management

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Case Study


Luke Slotwinski is the VP of Data and Analytics for Prologis, the world’s largest logistics real estate company operating across four continents and 19 countries. He says the future is changing very quickly, and historical views of company data were not going to be enough to set them up for the next five years of success and visibility.


Prologis at a glance

HQ: San Francisco, CA
Industry: Logistics Real Estate
Ticker: PLD (NYSE)
Continents: 4
Countries: 19
Use Cases: Data Discovery, Self-service analytics

The Challenge

data.world is powered by a knowledge graph, making it easy to establish relationships between data elements, business elements, and decision elements. So Luke and his team embarked on a large digital transformation effort to take their historical data warehouse and move it into the cloud.

“Having data that was well organized, really clearly explained and available for self-service were the key drivers that we started making our decisions on both from an architecture perspective, but as well as a product perspective. We wanted to model our data to represent who we are in what we do. So for example, we’re an industrial real estate company. Our top data domains are our customer, building, unit lease financial metrics.”

The Solution

Prologis wanted a centralized platform that could enable anyone in the organization to explore the data and start thinking about how their business questions could be answered with this dataset. Luke wanted a tool that not only did a data catalog function, but established a data collaboration platform, where if he had a business question, he might not know exactly where to look or what data would be needed but he would have a platform where the meanings of the data elements were listed, and he could start asking my questions in that platform.

“Where data really becomes powerful is when you can tie data to business processes, and business processes to decision-making processes within the organization. And that’s where the power of the Knowledge Graph behind data.world, was one of the key things that really drew us in and made us take a zoomed in look on the platform, because with the knowledge graph, we had the ability to establish these relationships between data elements, business elements, and decision elements.”


One of the primary focuses that Prologis has going forward is to really increase the use of AI/ML to drive the business forward.

“We’re focusing right back into the data catalog, whether you’re doing traditional analytics, exploring data sets for descriptive type of use cases, or you’re starting to look at predictive or prescriptive use cases, we want to bring the knowledge into one platform that can start to bring together these different types of advanced analytics use cases into one platform that’s easy to understand and consolidated.”

Luke says that working with the data.world team has been an absolutely amazing experience.

“We work with well over 20 vendors in the data and analytics vendor ecosystem, and very few vendors have partnered with us like data.world. They have done a really good job understanding what matters to Prologis and who we are as a company, and how data is helping drive our strategic objectives. And through that, they’ve been not only a great implementation partner but a great partner to start thinking about what we do in the short term to make sure that we’re going to meet the objectives of what we have in mind for data management long term”