Low-prep / No-prep Onboarding for Instant Decision Intelligence

Low-prep / No-prep Onboarding
for Instant Decision Intelligence

An automated data model that enriches metadata, discovers relationships, and measures data quality, while quickly onboarding data stores.

Mach Eye low-prep no-prep onboarding for instant data insights
Mach Eye low-prep no-prep onboarding for instant data insights

Initiate analytics action with an automated catalog

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Fast Onboarding

Connect to a variety of data stores instantly and get curated data enriched with entity relationships and metadata ready for use.

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Data Catalog Made Easy

Gain complete visibility of your data, set searchable parameters easily, and define computed attributes for comprehensive analysis.

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Integrated Data Quality

Understand the quality of your data measured and ranked on six quality index levels to ensure accurate and reliable insights.

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Business Metrics Tracking

Empower everyone towards common business goals by enabling business metrics to contextualize insights and actionable insights.

Mach Eye reliable data model with always on access

Reliable Data Model, Always-On Access

MachEye automatically discovers data models and enables you to manage metadata models complete with business logic to ensure consistent answers.

Mach Eye automated data catalog enriches data with synonyms

Data Catalog Made Easy

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.

Integrated Data Quality for Trusted Answers

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.

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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!

Why MachEye

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Intelligent Search

With natural search, search suggestions, and ambiguity correction on any device, MachEye makes enterprise data conversational.

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Actionable Insights

Leveraging AI models, MachEye answers the “Why” behind your insights and recommends tactical and strategic actions.

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Interactive Stories

By presenting insights as interactive stories, MachEye helps users explore, understand, and engage with data in a fun and easy way.

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Low-prep / No-prep Onboarding

With a cloud-native SaaS offering, NO data duplication, and an automated data catalog, MachEye makes onboarding a snap.

Frequently Asked Questions

What is the typical onboarding time for "low-prep / no-prep" implementation of an analytics business use case?

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Once the data connection with software is established, it takes anywhere from a few minutes to few hours to curate the data. After the curation process is over, one can start using the product by asking search questions.

What are the artifacts that are generated at the end of the "Low-prep / No-prep" onboarding?

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Typically, a data catalog gets generated that creates joins between tables, creates friendly names for attributes and most importantly, creates data quality analysis report indicating quality of each table and column within the workspace.

Unlock Insights with MachEye's SearchAI

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Contextual AI models for automatic discovery of advanced insights such as anomalies, trends, and segments.
Instant natural language-to-SQL generation with a live data warehouse connection to answer queries in real time.
Storytelling with interactive stories to make analytics as easy and engaging as social media experiences.