AdaLab

Leverage your company’s knowledge with the AdaLab platform

Our Applied Data Analytics Laboratory (AdaLab) can support everything from simple digital transformation tools and dashboards to advanced AI applications. But most importantly, it supports the corporate community and empowers your teams of domain experts to turn their expertise into data and analytics solutions for their peers to help them make expert guided decisions.
AdaLab is a secure, always-on, work-from-anywhere community-centric data science platform for data analytics and augmented decision support. It operates, integrates and improves a set of the best, modern open-source tools within data and analytics.

Image of platform
Image of platform

Findable, Accessible, Interoperable, Reusable (FAIR) Analytics

Discover and share Jupyter notebooks, dashboards, apps, and resources as cards, making tools and resources easily findable and accessible.
Direct access to the tools that you use every day is never more than two clicks away.

AdaLab brings together Analytical Consumers, Citizen Data Scientists, and Analytics Developers for effective collaboration and knowledge sharing. They can quickly communicate, experiment and collaborate through each card.

Provide training, tutorials, and documentation through Card Groups, organizing related content for easy learning and use. AdaLab’s QA Workflow maintains content quality by enabling review, testing, and validation of shared resources.

Central Gallery

Discover and share Jupyter notebooks, dashboards, apps, and resources as cards, making tools and resources easily findable and accessible.
Direct access to the tools that you use every day is never more than two clicks away.

Collaborative Platform

AdaLab brings together Analytical Consumers, Citizen Data Scientists, and Analytics Developers for effective collaboration and knowledge sharing. They can quickly communicate, experiment and collaborate through each card.

Learning and Quality

Provide training, tutorials, and documentation through Card Groups, organizing related content for easy learning and use. AdaLab’s QA Workflow maintains content quality by enabling review, testing, and validation of shared resources.

Applied Data Analytics made effortless with AdaLab's powerful tools

Jupyter notebooks offer numerous extensions, enhancing their capabilities for data exploration, analysis, and visualization. These extensions include interactive widgets, data visualization libraries, and version control tools.

A no-code data exploration and visualization BI-tool offering interactive dashboards and visualizations without writing any code. Superset allows business users and subject matter experts to access and analyze data, easily define and share datasets.