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DataviCloud Logo

Make more revenue from existing sales pipeline.

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DataviCloud - 2026 Pricing, Features, Reviews & Alternatives

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DataviCloud overview

What is DataviCloud?

DataviCloud is a no-code vertical business intelligence platform specifically designed to drive revenue outcomes through data-driven decision making. The system helps businesses streamline the process of extracting actionable insights from business data by providing integrations with existing tools, predictive analytics capabilities, and collaborative features that enable teams to work cohesively toward revenue goals.

The platform offers comprehensive functionality for both revenue operations and sales leaders, including real-time revenue intelligence that enables teams to transform sales pipelines into strategic assets. By identifying high-potential leads, detecting stalled deals, and predicting revenue risks early, DataviCloud enables organizations to take proactive measures before issues impact bottom-line results. The system combines historical patterns with real-time signals across the technology stack, including call recordings and meeting notes, to generate dynamic predictive forecasts that teams can trust for accurate planning and decision making.

The platform enables teams to employ proprietary AutoML technology for complex data processing while utilizing generative AI to present insights in an understandable format. This dual approach allows users without technical backgrounds to interact with the system using natural language queries, democratizing access to business intelligence. The solution lets stakeholders connect disparate data sources to provide early detection of pipeline risks and suggests specific actions to address potential issues, ensuring sales representatives can focus on high-value activities rather than reactive problem-solving.

The integration capabilities of DataviCloud extend to any API-supported platform, allowing organizations to pull data instantly with minimal configuration requirements. Its comprehensive connectivity enables the system to identify best-fit accounts using actual win data and current signals, aligning sales and marketing teams around a clear definition of ideal customer profiles. For quota and territory planning, DataviCloud leverages artificial intelligence and historical deal data to recommend targets and territory allocations that reflect real-time market demand and potential.

Key benefits of using DataviCloud

  • AI-based deal scoring: Instantly assess win probability with advanced analytics to prioritize high-potential deals.
  • MEDDIC auto-fill: Improve conversion rates by automating sales updates, reducing manual effort.
  • Conversation intelligence: Turn calls and multi-channel interactions into actionable insights to drive better outcomes.
  • Ideal customer profile (ICP) alignment: Use actual win data and real-time signals to identify best-fit accounts.
  • Risk detection: Spot stalled deals and pipeline gaps before they impact revenue.
  • Forecast: Evidence-based patterns for accurate revenue predictions.
  • Predictive and prescriptive analytics: Forecast engagement and receive strategic recommendations.
  • No-code simplicity: Intuitive interface for non-technical users to harness advanced BI.
  • Integrations: Connect CRMs and marketing tools to unify data.
  • Real-time insights: Dynamic dashboards for actionable intelligence.
  • Starting price


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    Rating breakdown
    • Value for money
    • Ease of use
    • Features
    • Customer support
    Rating distribution

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    DataviCloud's features

    Access controls/permissions
    Ad hoc reporting
    Alerts/Notifications
    API
    Collaboration tools
    Customizable branding
    Customizable reports
    Dashboard
    Dashboard creation
    Data blending
    Data connectors
    Data import/export
    Data mapping
    Data synchronization
    Data transformation
    Data visualization
    Drag & drop
    Forecasting
    Interactive reports
    Key performance indicators
    Multiple data sources
    Natural language processing
    Performance metrics
    Predictive analytics
    Profitability analysis
    Publishing/Sharing
    Real-Time analytics
    Real-Time data
    Real-Time monitoring
    Real-Time reporting
    Reporting/Analytics
    Role-Based permissions
    Scorecards
    Search/Filter
    Self service data preparation
    Strategic planning
    Text analysis
    Trend analysis
    Trend/Problem indicators
    Visual analytics

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    DataviCloud pricing

    Value for money rating:

    Starting from

    Free

    Pricing details
    Subscription
    Free trial
    Free plan
    Pricing range

    User opinions about DataviCloud price and value

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    DataviCloud support options

    Typical customers

    Freelancers
    Small businesses
    Mid size businesses
    Large enterprises

    Platforms supported

    Web
    Android
    iPhone/iPad

    Support options

    Email/Help Desk
    FAQs/Forum

    Training options

    Videos
    In Person
    Live Online
    Webinars

    DataviCloud FAQs

    Q. What type of pricing plans does DataviCloud offer?

    DataviCloud has the following pricing plans:
    Starting from: $595.00/month
    Pricing model: Free, Subscription

    These products have better value for money


    Q. Who are the typical users of DataviCloud?

    DataviCloud has the following typical customers:
    Large Enterprises, Mid Size Business, Public Administrations, Small Business


    Q. What languages does DataviCloud support?

    DataviCloud supports the following languages:
    English


    Q. Does DataviCloud offer an API?

    Yes, DataviCloud has an API available for use.


    Q. What other apps does DataviCloud integrate with?

    DataviCloud integrates with the following applications:
    Zoho CRM, Pipedrive, Freshsales, Freshdesk, Stripe, Google Cloud BigQuery, Mixpanel, Chargebee, Facebook Business Suite, Salesforce Platform, HubSpot CRM, Google Sheets


    Q. What level of support does DataviCloud offer?

    DataviCloud offers the following support options:
    Email/Help Desk, FAQs/Forum

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