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Development & Code
Zing Data
Zing Data logo
Development & Code

Zing Data

Zing Data is a mobile-first AI-powered analytics platform that enables users to explore, visualize, and share data insights directly from their smartphones and tablets. The tool democratizes data analysis by allowing business users, analysts, and teams to ask natural language questions about their data and receive instant visualizations and answers without requiring SQL knowledge or desktop software. It connects to various data sources including databases, data warehouses, and cloud storage platforms, transforming complex data queries into simple conversational interactions. Zing Data positions itself as the 'analytics platform for the mobile era,' focusing on accessibility, collaboration, and real-time decision-making. The platform combines traditional BI capabilities with modern AI assistance, making data exploration intuitive through voice and text queries. It's designed for organizations where stakeholders need immediate data access while on-the-go, bridging the gap between data teams and business users through an interface optimized for touch interaction and mobile workflows.

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πŸ“Š At a Glance

Pricing
Freemium
Reviews
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N/A
Engagement
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Development & Code
Mobile IDEs

Key Features

Natural Language Query

Allows users to ask data questions in plain English using voice or text input, automatically translating questions into database queries and returning visual results.

Mobile-First Design

Optimized interface for smartphones and tablets with touch-friendly controls, offline capabilities, and mobile-optimized visualizations that work seamlessly on smaller screens.

Real-Time Collaboration

Enables teams to share dashboards, comment on insights, and work together on data analysis with version control and permission management directly within the mobile app.

Multi-Source Data Integration

Connects to various data sources including SQL databases, cloud data warehouses, spreadsheets, and APIs, allowing unified analysis across different data repositories.

Intelligent Visualization Auto-Selection

Automatically suggests appropriate chart types based on the data being analyzed and the question being asked, reducing the time spent on manual visualization configuration.

Voice-Activated Analytics

Supports voice commands for data queries, allowing hands-free operation and making data access possible in situations where typing isn't practical.

Pricing

Free

$0
  • βœ“1 user
  • βœ“1 data source connection
  • βœ“Basic visualizations
  • βœ“Limited query history
  • βœ“Community support
  • βœ“Mobile and web access
  • βœ“CSV uploads

Pro

$20/user/month
  • βœ“Multiple users
  • βœ“5 data source connections
  • βœ“Advanced visualizations
  • βœ“Unlimited query history
  • βœ“Priority support
  • βœ“Team collaboration features
  • βœ“Scheduled reports
  • βœ“Data alerts and notifications
  • βœ“Export capabilities

Enterprise

contact sales
  • βœ“Unlimited users
  • βœ“Unlimited data sources
  • βœ“Advanced security (SSO/SAML)
  • βœ“Custom deployments
  • βœ“Dedicated support
  • βœ“API access
  • βœ“Custom branding
  • βœ“Compliance certifications
  • βœ“Training and onboarding
  • βœ“Service level agreements

Use Cases

1

Field Sales Performance Monitoring

Sales managers and representatives use Zing Data on mobile devices to check real-time sales metrics, territory performance, and pipeline status while visiting clients or traveling. They can ask questions like 'Show me this quarter's sales by rep' or 'What's our conversion rate in the Northeast region?' during meetings to make data-driven decisions on the spot. This eliminates the need to wait for desktop access or scheduled reports, enabling faster response to opportunities and issues.

2

Retail Store Operations Analytics

Store managers and retail chain operators use the platform to monitor daily sales, inventory levels, and staff performance directly from their tablets while walking the sales floor. They can quickly visualize which products are selling best, identify stock shortages, and compare performance across locations. The mobile interface allows them to access data without being tied to a back-office computer, facilitating immediate operational adjustments during busy periods.

3

Executive Business Review Preparation

Executives and department heads use Zing Data to explore key metrics and prepare for meetings while commuting or between appointments. They can ask natural language questions about financial performance, operational efficiency, or market trends and receive instant visualizations. This enables them to identify patterns, drill into anomalies, and develop data-backed narratives without relying on analysts to prepare custom reports in advance.

4

Manufacturing Quality Control Analysis

Quality managers and production supervisors use the tool to monitor defect rates, production efficiency, and equipment performance from the factory floor. They can query real-time production data, visualize trends in quality metrics, and share findings with engineering teams. The mobile accessibility allows them to correlate data observations with physical processes they're observing, leading to faster problem identification and resolution.

5

Healthcare Operational Analytics

Hospital administrators and clinic managers use Zing Data to track patient flow, resource utilization, and service metrics from tablets during rounds. They can ask questions about wait times, bed occupancy, or staff productivity and receive visual answers without returning to their offices. This supports data-informed decisions about resource allocation and process improvements while maintaining proximity to clinical operations.

How to Use

  1. Step 1: Sign up for a Zing Data account through their website or mobile app, choosing between free and paid plans based on your needs and team size.
  2. Step 2: Connect your data sources by configuring connections to databases (PostgreSQL, MySQL, Snowflake, BigQuery, etc.), cloud storage (Google Sheets, Airtable), or upload CSV files directly to the platform.
  3. Step 3: Explore your data using natural language queries - type or speak questions like 'Show me sales by region last quarter' or 'What were our top products in December?' directly in the mobile or web interface.
  4. Step 4: Review and customize the automatically generated visualizations (charts, graphs, tables) that appear in response to your queries, adjusting chart types, filters, and formatting as needed.
  5. Step 5: Create and organize dashboards by saving your most important visualizations, arranging them into logical layouts that tell a data story for regular monitoring.
  6. Step 6: Share insights with team members by exporting visualizations as images or PDFs, generating shareable links, or inviting collaborators directly to view and edit dashboards.
  7. Step 7: Set up alerts and notifications for key metrics by defining thresholds so you receive mobile push notifications when important data changes occur.
  8. Step 8: Integrate Zing Data into your regular workflow by using scheduled reports, embedding visualizations in other tools, or accessing data during meetings and decision-making sessions.

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At a Glance

Pricing Model
Freemium
Visit Website