Transform your manual, disconnected data workflows using the Cube automation platform.
Intelligent Building Blocks
Using a point-and-click interface, users rapidly create building blocks that:
Have the advanced configurability needed to automate complex data tasks
Adapt automatically to changes in data without the need for manual reconfiguration
These building blocks are linked together to create workflows that orchestrate data across your I/O and processing steps
Integrations with any data source through APIs, data connectors, and other custom applications, ingested into a centralized location with a standardized structure.
Intelligent processing to transform and interpret data on a deep level, covering a wide range of capabilities -- ETL, multilayered data pivots, custom logic, velocity calculations, supervised and unsupervised learning, predictive analytics, and more.
Our marketplace lets users within an organization seamlessly exchange data assets created on the Cube platform. Data assets can be datasets, dashboards, data science models, workflows, or entire applications. Users can leverage these assets as blueprints to accelerate their automation efforts.
Automated analytical outputs. Users access results in visual formats (e.g. dynamic web dashboards or powerpoint presentations) or through interactive applications (e.g. data table explorers and no-code data hooks).
Advanced data science capabilities are embedded into the Cube platform, enabling nontechnical users to leverage predictive analytics and data science modeling to supercharge their insights.
Cube can be utilized for a wide range of use cases across diverse industries. Our clients span technology, CPG, healthcare, finance, agency, retail and non-profit organizations.
Common use cases include:
Brand health tracking
Data science modeling
Personalization / Microtargeting
Ad hoc research
Customer feedback monitoring
Recurring business reporting