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Solution showcase AI-Powered Analytics & BI

Network Complaint Insights

Maps complaints to network areas and shows emerging problem spots.

Telecom & Technology · Customer Service

Illustrative example build, not a client case study.

The challenge

Customer complaints and network data are analysed separately, so recurring local problems persist.

Technology

  • Microsoft Power BI
  • Azure OpenAI
  • Python
  • Azure Maps
How it works
  1. 1

    Combine the data

    Complaints are linked to locations, cells and service types.

  2. 2

    Map the hotspots

    A map shows complaint density and trends by area.

  3. 3

    Explain the causes

    AI groups complaint text into causes such as coverage, speed or billing.

  4. 4

    Prioritise fixes

    Network and service teams agree a weekly priority list.

Designed to deliver

  • Problem areas found faster
  • Fewer repeat complaints
  • Better coordination between teams

Banking & Financial Services · Management

Branch performance commentary

Power BI dashboards with AI-generated variance commentary that explains movements by region, branch and product.

Energy & Utilities · Management

Consumption & complaint analytics

Integrated Power BI dashboards with AI commentary and exception alerts by area.

Development Sector & NGOs · Operations

Field survey data cleaning

Automated checks and AI clean, validate and standardise survey data before analysis, flagging records for follow-up.

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