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An automated data model that enriches metadata, discovers relationships, and measures data quality, while quickly onboarding data stores.
Connect to a variety of data stores instantly and get curated data enriched with entity relationships and metadata ready for use.
Gain complete visibility of your data, set searchable parameters easily, and define computed attributes for comprehensive analysis.
Understand the quality of your data measured and ranked on six quality index levels to ensure accurate and reliable insights.
Empower everyone towards common business goals by enabling business metrics to contextualize insights and actionable insights.
MachEye automatically discovers data models and enables you to manage metadata models complete with business logic to ensure consistent answers.
MachEye's automated data catalog enriches data with friendly terms and synonyms that actual users use. You get complete control to decide what can be searched for better results.
With its built-in Data Quality Index, MachEye continuously measures and ranks the data quality for accurate answers, full transparency, and traceability to the source data to ensure consistent and trusted insights.
MachEye offers a low-prep / no-prep cloud deployment platform that gets your data analytics up and running in minutes.
With a variety of data connectors available, you can easily plug into your existing data sources and start querying data live. No data duplication or transformation is required.
Built with AI as an Architecture, MachEye offers robust ML models to help you get the most out of your data. You can also integrate your home-grown or out-of-the-box models easily.
MachEye's unique Data Quality Index helps you identify and improve the quality of data, and in turn quality of insights. Stay current with accurate analysis!
With natural search, search suggestions, and ambiguity correction on any device, MachEye makes enterprise data conversational.
Leveraging AI models, MachEye answers the “Why” behind your insights and recommends tactical and strategic actions.
By presenting insights as interactive stories, MachEye helps users explore, understand, and engage with data in a fun and easy way.
With a cloud-native SaaS offering, NO data duplication, and an automated data catalog, MachEye makes onboarding a snap.
What is the typical onboarding time for "low-prep / no-prep" implementation of an analytics business use case?
What are the artifacts that are generated at the end of the "Low-prep / No-prep" onboarding?