DATA ANALYTICS & BUSINESS INTELLIGENCE
Transform Your Data into Decisions That Drive Performance
Operational dashboards, predictive analytics, and business intelligence solutions that turn your mining and industrial data into actionable insights.
THE INDUSTRY CHALLENGE
You're Drowning in Data But Starving for Insights: Your operation generates massive amounts of data every day
- ✔ SCADA systems logging thousands of data points per minute
- ✔ Equipment sensors streaming vibration, temperature, pressure data
- ✔ Production systems tracking throughput, recovery, quality
- ✔ Maintenance systems recording work orders, costs, downtime
- ✔ Safety systems capturing incidents, inspections, hazards
- ✔ Financial systems tracking costs, inventory, procurement
But what happens to all this data?
- ✔ Stored in silos: different systems, different formats, no integration
- ✔ Analysed manually: Excel spreadsheets, hours of work, outdated by completion
- ✔ Reported backward: Monthly reports showing what happened, not what's coming
- ✔ Insights missed: Patterns invisible, opportunities lost, problems undetected
- ✔ Decisions delayed: Waiting for reports instead of acting in real-time
The result? Reactive management based on lagging indicators instead of proactive optimisation based on real-time intelligence.
THE ENALENI ANALYTICS SOLUTION
Enaleni delivers end-to-end data analytics solutions that connect your operational systems, transform raw data into meaningful insights, and present actionable intelligence through intuitive dashboards enabling faster, better decisions at every level of your organisation.
Our Analytics Approach
Connect
Integrate data from all your operational systems into one unified platform.
Transform
Clean, validate, and structure data for accurate analysis.
Analyze
Apply statistical analysis, machine learning, and domain expertise.
Visualize
Present insights through intuitive, role-based dashboards.
Act
Enable real-time decision-making with alerts and recommendations.
Learn
Continuously improve models based on operational outcomes.
Analytics Capabilities
Operational Dashboards
- Real-time production monitoring and KPI tracking
- Equipment performance and availability dashboards
- Energy consumption and cost analysis
- Quality metrics and process control
- Safety and environmental compliance tracking
- Role-based views: Executive, Manager, Supervisor, Operator
Predictive Analytics
- Equipment failure prediction using sensor data
- Maintenance optimisation and remaining useful life estimation
- Production forecasting and bottleneck identification
- Quality prediction and process optimisation
- Energy consumption forecasting
- Anomaly detection and early warning systems
Business Intelligence
- Cost analysis and profitability tracking
- Inventory optimisation and procurement analytics
- Contractor performance analysis
- Benchmarking across sites and time periods
- Regulatory compliance reporting automation
- Executive reporting and board presentations
Advanced Analytics
- Machine learning models for pattern recognition
- Process optimization using AI
- Natural language processing for maintenance logs
- Image analysis for condition monitoring
- Simulation and scenario modeling
DATA SOURCES WE INTEGRATE
- SCADA & Control Systems: OSIsoft PI, Wonderware, Ignition, WinCC
- IoT Platforms: IoT.nxt, Azure IoT, AWS IoT, ThingWorx
- Maintenance Systems: SAP PM, Maximo, Pronto, MEX
- ERP Systems: SAP, Oracle, Microsoft Dynamics
- Production Systems: MES, dispatch, fleet management
- Safety Systems: Mini-HIRA®, IsoMetrix, INX
- Financial Systems: General ledger, procurement, inventory
- External Data: Weather, commodity prices, benchmarks
BENEFITS OF PARTNERING WITH ENALENI
- Reduction in unplanned downtime: Through predictive maintenance
- Improved production performance: Through bottleneck identification and optimisation
- Lower energy consumption: Through usage analysis and optimisation
- Faster reporting: Automated dashboards replace manual Excel work
- Real-time visibility: Decisions based on current data
- Single source of truth: Unified platform eliminates conflicting reports
CASE STUDY: PREDICTIVE MAINTENANCE TRANSFORMATION
Processing Plant with 47 Critical Rotating Equipment Items
The Challenge
- Reactive maintenance culture: fix it when it breaks
- Average 2.3 unplanned stoppages per month
- Each stoppage: R850K average cost (production loss + repairs)
- Maintenance data in spreadsheets: not analysed
Our Solution
- Integrated vibration, temperature, and current data from 47 assets
- Developed machine learning models for failure prediction
- Built real-time dashboard with equipment health scores
- Implemented automated alerts for early warning
Results (12 months)
- Unplanned stoppages: 2.3/month → 0.4/month (83% reduction)
- Predicted 14 potential failures: all addressed in planned windows
- Maintenance costs: 18% reduction (planned work vs. emergency repairs)
- Annual savings: R19.4M
- ROI: 8:1 in first year
TECHNOLOGY PLATFORMS
- Microsoft PowerBI: Enterprise dashboards and self-service analytics
- Azure Synapse: Big data processing and data warehousing
- Azure Machine Learning: Predictive models and AI
- Grafana: Real-time operational dashboards
- Python/R: Advanced statistical analysis and modeling
- Custom Development: Custom made solutions for unique requirements
OUR ANALYTICS PROCESS
- Week 1-2: Discovery: Understand business objectives, assess data sources, identify quick wins
- Week 3-4: Data Integration: Connect systems, establish data pipelines, validate quality
- Week 5-8: Dashboard Development: Build visualisations, configure alerts, user acceptance
- Week 9-12: Advanced Analytics: Develop predictive models, train users, optimise
- Ongoing: Continuous Improvement: Monitor performance, enhance models, add capabilities
