Designed to define, manipulate, retrieve and manage your data

Streamline your enterprise data in real time into de-duplicated single source of truth, reducing time and effort-intensive data management and granting business the time to drive high-value innovation.

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Challenge

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Scattered Data, Obscure Insights

Enterprises grapple with various disconnected data networks and diverse data storage platforms which let valuable insights slip through the gaps between them. As businesses strive to become data-driven, such scattered data can pose major challenges:

  • Duplicated data with additional cleaning and storage costs
  • Legacy rule-based Extract, Transform, and Load systems
  • Siloed systems for functions working on the same data

Considering that data is the backbone that businesses must base their decisions on, the data management system must be robust, flexible, and unimpeachable.

Solution

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ML-driven Master Data Management

InfoVision’s DataMink, developed at our innovation lab- Digit7, helps enterprises develop the data integrity required to create a culture of smart decision-making. DataMink is an AI-enabled, self-learning platform that quietly runs Edge-deployed ML models in the background, eliminating data redundancies and managing data through self-evolving rules.

Replacing legacy ETL and rule-based engines with ML-enabled DataMink has clear advantages:

  • De-duplication
  • Self-learning ETL
  • De-duplication
  • Self-learning ETL
  • De-duplication
  • Self-learning ETL

DataMink is one of the few platforms in the market capable of merging data across two or more different database types such as SQL and NoSQL.

Core features

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Data Quality Management 
Summary

Improves compliance through single source of truth, facilitating better decisions.

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AI-powered 
Summary

Self-learning ML models to perform legacy ETL operations and deal with new data formats intuitively.

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Data Operations 
Summary

Automated data de-duplication, database merging, schema mapping, cleansing.

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Multi-model Training
Summary

Train multiple models multiple times, with different parameters with DataMink.

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Web based access
Summary

Access the DataMink dashboard through a web-based UI securely and easily.

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Cloud native
Summary

DataMink is cloud-native, platform-agnostic and is scalable using Docker images.

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Data Visualization 
Summary

Data visualization that helps practitioners view data in ways that highlight the insights.

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API-enabled 
Summary

DataMink can be readily deployed with your platforms through an API.

Choose DataMink to get more out of your Data

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