Dataiku
Overview
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HQ Location
United States
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Year Founded
2013
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Company Type
Private
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Revenue
$10-100m
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Employees
51 - 200
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Website
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Twitter Handle
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Company Description
Dataiku is the centralized data platform that moves businesses along their data journey from analytics at scale to enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to Machine Learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies.
Customers like Unilever, GE, and FOX News Group use Dataiku to ensure they are moving quickly and growing exponentially along with the amount of data they’re collecting. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.
Customers like Unilever, GE, and FOX News Group use Dataiku to ensure they are moving quickly and growing exponentially along with the amount of data they’re collecting. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.
Key Customers
Unilever, GE, FOX
IoT Snapshot
Dataiku is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, and analytics and modeling technologies, and also active in the finance and insurance, and healthcare and hospitals industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
Dataiku’s Technology Stack maps Dataiku’s participation in the platform as a service (paas), application infrastructure and middleware, and analytics and modeling IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Improving Manufacturing Processes with Essilor
Seeing that one of their goals is to find ways to better answer consumer and business needs, the Global Engineering (GE) team was facing the challenge of improving processes and performance of the surfacing machines to significantly improve their production by using the increasing volume of data."We wanted a data science platform that would allow us to solve our business use cases very quickly. Thanks to Dataiku and its collaborative platform, which is agile and flexible, data science has become the norm and is now used more widely within our organization and around the world," said Cédric Sileo, Data Science Leader at Global Engineering, Essilor.
Case Study
Streamlining Data Efforts and Saving Time: U.S. Venture's Success with Dataiku
The Data and Analytics team at U.S. Venture faced challenges in managing and analyzing customer data due to the complexity of operating in multiple industries. They also had difficulties in creating enterprise tools and processes that foster collaboration and remove silos.
Case Study
Trainline's Dataiku Solution: Improving Marketing Acquisition Efficiency
Marketing acquisition is a tricky business to monitor and improve. With paid campaigns running 24/7 and users interacting with those ads around the clock, static dashboards are no longer the answer. Marketing executives are beginning to realize the incredible potential of dynamic big data, and only 12 percent are still willing to rely on static dashboards for decision making.
Case Study
Driving Data-Driven Decisions: Europcar Mobility Group's Success Story
Europcar Mobility Group was facing challenges in accurately predicting fluctuations in demand for car rentals at airports based on changes in the market. They also had to deal with massive volumes of data from different sources and formats.
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