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Product ENTERPRISE DATA INTELLIGENCE

SmartInsightEnterprise data intelligence

Enterprise reporting & intelligent queries

Ask in business language.
Put enterprise data to work.

Connect business data to shared datasets for reporting, queries and analysis. Enable people to explore data themselves and collaborate around consistent metrics.

Discuss your data applicationExplore capabilities

Accessible analysis · Verifiable results · Business applications

ASK YOUR DATAIntelligent data queries
Product interface · Demonstration data · Chinese UI

CONNECTED DATA

Shared data. Consistent reporting and queries.

Connect enterprise data foundations, analytics and AI to reduce repeated exports, preparation and report creation.

DATA SOURCESERPMESCRMIoTDatabasesExcel / CSVAPI
  1. 01

    Enterprise data foundation

    Connect dispersed data, align transformation and metric definitions, and build reusable datasets.

    • Source integration and association
    • Transformation and modeling
    • Shared datasets and metric definitions
  2. 02

    Interactive reporting

    Present business conditions in dashboards, examine detail interactively and share analysis with teams.

    • Dashboards and large-screen views
    • Filtering, drilldowns and linked charts
    • Monitoring and mobile collaboration
  3. 03

    Language model capabilities

    Use natural language for data queries and chart generation, with assistance for dashboard creation, interpretation and trend exploration.

    • Natural-language queries and charts
    • Assisted dashboard creation and editing
    • Analysis reports and forecasts

REPORTING & ANALYSIS

Build reports and explore data in your own way

Dashboard creation, interactive analysis, forecasting and alerts work from the same data foundation.

Describe a dashboard, then make it your own

Select a dataset and describe your needs. Use AI-assisted dashboard creation, then adjust layout, content and styling with drag-and-drop editing. Supports 40+ visualization types.

  • Describe dashboard requirements
  • Arrange components by dragging
  • Change charts and styling
Product interface · Demonstration data · Chinese UI

INTELLIGENT REPORTS

Analysis reports with leads to follow up

Generate structured interpretations of connected data to organize current conditions, trends, anomalies and suggestions for business teams.

Review important conclusions and causal suggestions against metric definitions and business facts.

  1. 01

    Current conditions

    Describe the data scope and current performance.

  2. 02

    Trend interpretation

    Interpret direction and variation to identify changes worth investigating.

  3. 03

    Anomalies and investigative leads

    Suggest factors to investigate and verify against business facts.

  4. 04

    Action suggestions

    Provide suggestions for business teams to assess and follow up.

BUSINESS APPLICATIONS

Data analysis for manufacturing and business questions

Organize data and analysis around production, quality, equipment, energy, sales and finance questions.

Production & quality

Which workshops missed the plan, and where are the gaps?

Connect plans, output, work orders and quality data. Analyze attainment and defects by workshop, shift, product, batch and process.

Equipment operations

How do changes in downtime relate to production?

Compare operating states, downtime records and production performance so maintenance and production teams can investigate the same scope.

Energy management

Is higher energy use driven by output or consumption per unit?

Compare energy use, output and operating states by line, equipment and shift using consistent periods and measurement boundaries.

Sales & finance

Where is revenue rising without a corresponding profit improvement?

Connect orders, revenue, costs and collections. Analyze contribution, budget variance and collections by product, region and customer.

Business management dashboardProduct interface · Demonstration data · Chinese UI

VERIFIABLE & CONTROLLED

Verify the results. Control data access.

Examine results alongside retrieval processes, with shared metrics and clear access permissions.

Data sources

Review connections, refreshes and previews for completeness and timeliness.

Metric definitions

Align periods, units, dimensions and aggregation rules.

Query process

Inspect fields, conditions and scope to verify retrieval.

Result review

Cross-check detail, charts and drilldowns; have business owners review important conclusions.

The same data, viewed according to each role

Configure visible data and sensitive fields according to responsibilities. Confirm model invocation, data boundaries and deployment to suit enterprise requirements.

  • Role permissions
  • Row-level scope
  • Column-level controls
  • Local deployment

Mobile viewing and collaboration: view, filter and explore linked charts on mobile, with sharing or notifications through email, Feishu, DingTalk and WeCom. Sharing scopes and connections depend on deployment settings.

START WITH ONE QUESTION

Start with one well-defined business question

Validate one valuable use case with real data and actual users before expanding to more departments.

  1. 01

    Choose a use case

    Start with a frequent question, available data and a clear owner. Agree metrics and record the existing workflow baseline.

  2. 02

    Build the foundation

    Connect data, build shared datasets, configure permissions and dashboards, and check retrieval with actual questions.

  3. 03

    Validate the value

    Let business users try it. Compare task time, result checks and feedback within the same scope before expanding.

Let’s define the data scope, metrics and pilot objectives.

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