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D-01 / DATA & AI

SmartInsight

Make data analysis accessible and business decisions more evidence-based.

  • Conversational analytics
  • AI-assisted BI
  • Verifiable results
SmartInsight production dashboard authoring interface

A verifiable path from data to insight

Multiple business data sources

  • ERP
  • MES
  • CRM
  • IoT
  • DB
  • Excel/CSV
  • API

Enterprise data platform

  • Data access and integration
  • Metric definition management
  • Data modelling and services
  • Quality and security governance

AI-assisted BI

Provide interactive reports and large-screen dashboards, multidimensional filters, linked drill-down, KPI monitoring and team collaboration.

Large language models

Support natural-language data queries, chart generation, assisted report authoring and refinement, analytical reports and indicative forecasts.

Ask in natural language, then keep exploring

  1. 1

    Choose a dataset

    Select a configured dataset and scope

  2. 2

    Ask a question

    Describe the business question naturally

  3. 3

    Switch charts and inspect details

    Generate views and drill into records

  4. 4

    Keep asking

    Follow the result with further checks

SmartInsight field confirmation and conversational analysis interface
AI-assisted report draftDrag-and-dropDrill-downLinked interactionsFilterNavigate
40+ chart types (subject to the current version)

Turn analysis into action

Structured analysis reports

Organise current-state summaries, trend assessments, attribution or exception explanations and suggested actions, with access to key details and exception records.

Indicative trend forecasts

Provide indicative forecasts for time series such as revenue, demand and energy use to support target setting, inventory planning, resource planning and risk preparedness.

KPI monitoring and alerts

Choose a chart or metric, set detection times, fixed thresholds or dynamic conditions and recipients, then use alerts to locate issues and coordinate action.

Verifiable results with clear access boundaries

  1. Data source

    Identify sources, tables and refresh timing

  2. Metric definition

    Show definitions, formulas and aggregation rules

  3. Retrieval process

    Retain filters, relationships and processing logic

  4. Analysis result

    Revisit and reproduce charts and detail records

Role access

Assign views and actions by role

Row scope

Control data by organisation or region

Column fields

Mask sensitive fields and control visibility

On-premises deployment

Keep data within the controlled environment

Mobile viewing and sharing
PDF / image / report-template export

Start with one scenario, validate, then expand

Sales and finance

  • Sales trends and target attainment
  • Customer mix and margin
  • Collections and cash turnover

Production, quality and equipment

  • Plan versus actual
  • Yield and quality loss
  • Equipment efficiency and downtime

Energy management

  • Energy distribution and trends
  • Energy cost and loss
  • Energy-saving opportunities
  1. 01

    Choose a scenario

    Clarify objectives and scope

  2. 02

    Build data and metric definitions

    Align sources and the metric system

  3. 03

    Validate value and expand

    Standardise templates and adoption

NEXT STEP

Start by defining the operational challenge.

Share the current process, constraints and intended outcome. We will assess the smallest verifiable starting scope.

Discuss your challenge