Industry
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Telecommunications & utilities
Data solutions for better telecommunications and utilities decisions
Telecommunications, communication and utilities companies work with large volumes of customer, service, network, operational, workforce and financial data. EMARK helps turn that data into practical solutions for reporting, planning, forecasting, customer insight, workflow and AI-ready decision support.
Problem
Decisions slow down when customer, operational and planning data stay disconnected
Customer and service data is scattered across systems
Planning disconnected from operational reality
AI outputs are hard to trust without governed data
Solutions
Connect customer, operational and planning data into one trusted foundation for better decisions
Customer insight & interaction analytics
Analyze customer interactions across calls, emails, chats, reviews, tickets and other text sources. Use AI and text analytics to identify recurring issues, sentiment, churn risk, service quality patterns and opportunities for better retention or cross-sell.
Operational visibility & reporting
Create reliable reporting across service, operations, finance, procurement, customer care and management layers. Replace disconnected reports with governed dashboards, automated reporting and shared business definitions.
Planning, forecasting & scenario modelling
Support planning across demand, workforce, field service, operations, finance and procurement. Use planning workflows, forecast models, what-if scenarios and review processes to improve speed, accuracy and accountability.
AI-ready data foundation
Prepare data for AI assistants, predictive analytics and decision support. This includes data integration, quality, governance, semantic layer, security, metadata and clear definitions that help AI work with business context.
Internal knowledge assistants
Use AI assistants over internal documents, technical documentation, policies, manuals or procedures. Employees can ask questions in natural language while access rights and data security remain part of the architecture.
Workflow, writeback & decision support
Move from passive reporting to guided action. Enable comments, review steps, approvals, alerts, writeback and auditability where business users need to update plans, validate assumptions or trigger follow-up actions.
Use cases for telecommunications & utilities
Customer interaction
analytics
- Combine unstructured communication with structured customer data
- Identify recurring service issues and customer pain points
- Analyze sentiment, topics and escalation drivers
Churn-risk
& retention insight
- Combine predictive models with business review and explainability
- Support retention and loyalty actions with better context
- Detect customers or segments with higher churn risk
Workforce, service
& capacity planning
- Support what-if scenarios for peaks, outages or service changes
- Reduce spreadsheet-heavy planning and manual reconciliation
- Connect capacity planning with real operational demand
Operational reporting
& management visibility
- Support the full risk lifecycle with dashboards and workflow
- Align teams around shared definitions and governed metrics
- Improve visibility into performance and service trends
AI assistant over internal documentation
- Support service, operations, HR, technical and management teams
- Keep access rights and security part of the design
- Reduce time spent searching internal documents
Data foundation for AI
& advanced analytics
- Integrate data from ERP, CRM, operational systems and documents
- Add semantic layer, data quality checks and business definitions
- Make AI outputs more explainable, secure and trustworthy
Planning and forecasting for demand, operations & finance
- Improve accountability through workflow, comments and audit trail
- Combine machine learning forecast with business review
- Support plan vs actual and scenario planning
Public usability
From fragmented data to better management of customers, services and operations
How EMARK helps
1. Identify the business decision, process or data problem
We start with the decision that needs to improve: customer retention, service quality, workforce planning, operational reporting, field capacity, management visibility or AI readiness.
2. Connect and structure the data
We integrate data from relevant systems such as CRM, ERP, billing, service platforms, operational systems, spreadsheets, documents or cloud data platforms. The goal is to create a governed, usable data foundation.
3. Build the right solution layer
Depending on the need, this can be a reporting layer, planning workflow, forecasting model, AI assistant, customer analytics solution, data product or AI-ready architecture.
4. Enable users and scale adoption
We help teams use the solution in their daily work through training, business ownership, clear definitions, adoption support and iterative improvements.
Technology that connects data, processes and decisions
Qlik Sense & Qlik Cloud
For governed dashboards, self-service analytics and shared reporting across customer, service, operational, financial and management teams.
Inphinity
For planning, forms, workflow, comments, approvals, writeback and auditability where teams need to update plans, validate assumptions or manage review processes.
Microsoft Fabric & Power BI
For modern analytics environments, reporting, business intelligence, data modelling and shared visibility across teams.
AI Agents, machine learning & text analytics
For customer interaction analytics, churn-risk insight, forecasting support, natural-language search and decision intelligence.
Snowflake, Cortex AI & Snowflake Intelligence
For cloud data platforms, structured and unstructured data, AI-ready architecture, semantic search and governed AI assistants over business data.
ERP, SAP, CRM & operational systems
As source systems for customer, billing, service, field, finance, procurement, workforce and operational data.
Data warehouse, lakehouse & semantic layer
For governed data history, consistent business definitions, analytical models and trusted data foundations for reporting, planning and AI.
Make customer, service and operational data easier to use
Bring customer, service, operations and planning data together, so teams can report faster, forecast more accurately and prepare trusted data for AI.