By centralizing data and automating critical workflows, Ivanhoé Cambridge improved portfolio visibility, enhanced operational efficiency, and reduced time-to-insight across the organization.
Ivanhoé Cambridge is the global real-estate investment arm of Caisse de dépôt et placement du Québec (CDPQ), headquartered in Montréal and active across 19 countries. As of 2022 it held approx. C$77 billion in real-estate assets, spanning more than 1,500 buildings across industrial & logistics, office, residential and retail sectors.
With a focus on long-term value creation and sustainability, the firm invests directly, via funds and strategic partnerships, and has recently announced a rebrand: from mid-2025 Ivanhoé Cambridge will operate under the name “La Caisse”.
Marketing tools ranged from standard to highly proprietary, making integration with traditional ETL tools nearly impossible.
Teams spent hours cleaning and preparing data, leaving little time for insight generation or strategic analysis.
The existing setup couldn’t keep pace with growing digital marketing needs or support future expansion.
Existing ETLs were too inflexible to support custom APIs or evolving data needs, preventing the team from adapting as new tools and requirements emerged.
Supports all tools - standard or proprietary – Everything connected without forcing the team to change their existing systems.
Keboola evolved from a simple reporting tool into the core data foundation powering marketing, operations, and R&D across Ivanhoé Cambridge.
"Keboola allowed us to focus on being innovative and not worry about whether our toolset would be able to keep up with us."
Keboola quickly evolved from a simple reporting tool into a multi-purpose data platform. Ivanhoé Cambridge now uses it not only to track marketing performance, but also to power experimental and R&D initiatives across the organization.
Data no longer flows only to Tableau—Keboola distributes insights to multiple systems, all managed within a single, unified instance.
"Along the way when we encountered problems with some of our tools, we realized that we could use Keboola to tackle the problems. Tools that had integrations and connectors that should have worked didn't, or were really hard. We realized we can use Keboola to push and pull data to those tools."
By choosing a platform built for extensibility rather than rigid pre-built connectors, Ivanhoé Cambridge created a data foundation that evolves with the business:
across multiple channels and proprietary tools
with the same infrastructure originally built for reporting
not locked into a single BI tool
Manual data work was cut, letting the team focus on insights over spreadsheets. For a real estate company, this flexibility is crucial. Marketing, operations, tenant experience, and R&D all need adaptable data.
For such a large organization managing real estate investments globally, this kind of flexibility matters. When your business spans physical properties, digital marketing, tenant experience, and strategic R&D initiatives, data infrastructure needs to adapt - not constrain.
