Software, Cloud & AI
Big Data & Analytics
Turn enterprise data into actionable insights with modern data warehouses, real-time dashboards, and predictive analytics. Make data-driven decisions that grow your business.
10+
Data Warehouses
100M+
Records Processed
Real-time
Dashboard Updates
50+
Custom Dashboards
Real-time
Data Updates
100M+
Records Processed
Why Invest in Data Analytics?
Pakistani enterprises sit on mountains of untapped data. HNL helps you transform this data into competitive advantage with modern analytics infrastructure that scales with your business.
Eliminate data silos with a single source of truth
Get real-time visibility into business performance
Predict trends before they happen
Empower business users with self-service analytics
Reduce reporting time from days to minutes
Make data-driven decisions across all departments
Our Analytics Capabilities
End-to-end data and analytics solutions - from data warehouses to predictive models
Data Warehousing
Build modern cloud data warehouses that centralize all your enterprise data
Key Features
Single source of truth for all business data
Sub-second query performance on billions of rows
Automatic scaling based on workload
Built-in data governance and lineage
SnowflakeGoogle BigQueryAWS RedshiftAzure Synapse
Common Use Cases
- Financial reporting
- Customer 360
- Supply chain analytics
- Regulatory compliance
Implementation Process
A proven methodology that delivers analytics value in weeks, not months
Phase 1|1-2 weeks
Data Assessment
- Audit existing data sources and quality
- Identify key business questions to answer
- Define KPIs and success metrics
- Map data flows and dependencies
Deliverables: Data assessment report, analytics roadmap
Phase 2|2-3 weeks
Architecture Design
- Design data warehouse schema
- Select platform and tools
- Plan data governance framework
- Design security and access controls
Deliverables: Architecture diagrams, platform selection
Phase 3|4-8 weeks
Data Pipeline Build
- Build ETL/ELT pipelines
- Implement data quality checks
- Configure automated scheduling
- Set up monitoring and alerts
Deliverables: Operational data pipelines, data warehouse
Phase 4|2-4 weeks
Dashboard Development
- Design dashboard layouts with stakeholders
- Build interactive visualizations
- Implement drill-downs and filters
- Configure mobile access
Deliverables: Live dashboards, user training
Phase 5|4-8 weeks
ML Model Deployment
- Feature engineering and selection
- Model training and validation
- Deploy to production with monitoring
- Integrate predictions into dashboards
Deliverables: Production ML models, prediction APIs
Industry Use Cases
Analytics solutions tailored to your industry challenges
Banking & Finance
- •Risk scoring and credit analysis
- •Fraud detection in real-time
- •Customer segmentation
- •Regulatory reporting (SBP, SECP)
Telecom
- •Network performance analytics
- •Churn prediction
- •Revenue assurance
- •Tower site analytics
Retail & E-commerce
- •Demand forecasting
- •Customer lifetime value
- •Basket analysis
- •Inventory optimization
Manufacturing
- •Predictive maintenance
- •Quality control analytics
- •Supply chain optimization
- •Production efficiency
FAQ