Saagie
Empower Distributed Data & Analytics Teams to Deliver Continuous and Sustainable Business Value
The Leading Plug & Play Orchestrator for DataOps
Standardize Your Data Initiatives
Technology
Implement best-in-class big data technologies seamlessly to automate and deploy AI business applications at scale.
Process
Decrease your risk and accelerate the delivery of your big data projects by streamlining analytic processes and simplifying operations.
People
Leverage a single collaborative environment for all data and analytical project stakeholders.
Reduce Time-to-Value Substantially
Create and deploy data and analytics models into production, from raw data to business applications in 10 weeks vs. 18 months
Saagie’s solution is unique because it unites different teams such as IT Ops, data, development and business, which use a variety of applications. It is now much easier for them to collaborate and achieve solid release processes with a much shorter time-to-value.
Barthélémy Longueville
CDO, Vallourec
Ensure Governance & Security
Monitor, audit and trace data usage across your organization according to high-security IT standards and data regulations
Saagie helped us implement strong governance processes on our data lake by integrating data documentation capabilities as well as dataset access rules to only expose data to the right people inside our organization.
Jérôme Banderier
CIO, Matmut
Deploy Agility Across Data Projects
Leverage best-in-class open-source and commercial technologies to embrace the data ecosystem and protect your IT investments
We chose Saagie because it gathers the largest range of open-source technologies and can support hybrid deployments with both cloud and on-premise.
Valérie Perhirin
Head of Big data & Artificial intelligence, Capgemini – Insights and Data
They Trust Us
Mapping Customer Living Areas to Better Target Customers
From Business Intelligence to Artificial Intelligence
Addressing Multiple Use Cases in Record Times
Creating a Collaborative Environment for Distributed Data Labs
Automating Customer Invoice Process
Applying Predictive Maintenance for Paris Airports
