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Connecty

Data Engineering
Empower data insights with contextual intelligence tools.
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Role Data Engineering

Connecty AI is a contextual intelligence tool leveraging Gen AI technology to empower data practitioners with deep context learning agents for deriving insights from complex structured data in minutes.

Key Features:

  • Deeper Context Learning: Ingest, enrich, and unify complex, multi-source data to gain insights that evolve with your data.
  • Collaborative Agentic Workflow: Streamlined workflow with agent-guided collaboration across data roles for simplified analytics tasks.
  • Personalized User Experience: Tailored user experience respecting access permissions and custom workflows for individual needs.
  • No-Code Integration: Effortlessly connect tools and data sources without writing code to focus on insights.
  • Security and Governance: Built-in enterprise-grade security and governance with complete control over data protection and compliance.

Use Cases:

  • Data Engineers
  • Data Analysts
  • Data Governance
  • Data Scientist
  • Product Managers
  • Marketing Managers
  • Functional Managers
  • Teams Data
  • Finance
  • Marketing
  • Sales Ops
  • Product R&D

Benefits:

  • 80% Workload Reduction for Data Teams
  • 100x Return on Investment
  • Tailored for your organization's use-case
  • Empower decisions without the noise
  • Amplify team impact
  • Unlock insights without the IT bottleneck
  • Explore confidently with built-in security and governance.
  • Ingests and unifies complex, multi-source data into a cohesive graph
  • Enriches data with deep context learning
  • Facilitates agent-guided collaboration across data roles
  • Streamlines workflows for analysts, engineers, and managers
  • Personalizes user experiences based on access permissions and custom workflows
  • Integrates tools and data sources without requiring code
  • Ensures enterprise-grade security and governance
  • Encrypts credentials securely at rest using AES-256 encryption
  • Reduces workload for data teams
  • Improves schema descriptions and enhances semantic layers
  • Prepares data and analyzes metrics in minutes
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