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ML Operations

dotData

Automated feature discovery and AI platform for business KPIs

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About dotData

dotData offers an automation platform that discovers predictive features in multi-table enterprise data and supports building models for use cases such as churn, fraud and forecasting. The company was founded in Japan and also operates in the United States.

Common use cases

  • Churn prediction
  • Fraud detection
  • Sales forecasting
  • Yield loss analysis
  • Credit default scoring

Products and services

dotData Feature Factory

Automated feature discovery from relational and temporal data.

dotData Insight

Identifies factors driving business KPIs.

dotData Enterprise and Cloud

Platform editions for deployment.

dotData Ops

Operationalization of models and features.

Recent product updates

  • March 2026: dotData Insight added native support for Databricks and Snowflake on Microsoft Azure (vendor headline).

Key features

  • Automated feature engineering
  • Multi-table data support
  • KPI driver discovery
  • Model operationalization
  • Streaming features
  • Text feature extraction

Integrations

  • Snowflake
  • Databricks
  • AWS
  • Tableau

dotData alternatives

FAQs

What does dotData automate?

Discovery of features from complex, multi-table data to feed ML and BI.

Is it cloud or on-premises?

Both cloud and enterprise (on-premises) editions are listed.

Who is it for?

Enterprise data teams, typically in finance, retail and manufacturing.

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