Even the Most Voluminous and High-Velocity Data Will Be Organized

Data analytics involves building an infrastructure for data aggregation, analysis, and reporting. Teja’s delivers tailored business analytics solutions and helps companies plan future actions based on historical insights. Building Data Analytics Solutions for Different Domains

As a data analytics company, Teja’s helps businesses from 30+ industries integrate, aggregate, and analyze various data types from multiple sources to address their most ambitious needs at department and enterprise levels.

Manufacturing Analytics

• Overall equipment effectiveness analysis and optimization.
• Manufacturing process quality optimization.
• Equipment maintenance scheduling.
• Power consumption forecasting and optimization.
• Production loss root cause analysis.

Healthcare Analytics

• Patient health condition monitoring and condition-based alerting.
• Patient treatment optimization.
• Assessment of patient risks and personalized care plan recommendations.
• Proactive care (defining trends and patterns in patient condition requiring a doctor’s attention).
• Fraud detection in healthcare insurance.
• Medical staff workload prediction and work shift optimization.
• Optimization of clinical space and equipment usage.

Retail Analytics

• Retail business performance analysis, monitoring sales, and profitability.
• Demand analysis and forecasting.
• Multi-echelon inventory optimization.
• Assortment and merchandising planning and optimization.
• Data-driven recommendations on optimal product promotion activities.

Transportation and Logistics Analytics

• Operational capacity planning and optimization based on the analysis of incoming shipments, customer delivery schedules, vehicles availability, and personnel shift schedules.
• Predictive analytics for vehicle maintenance (failure prediction, recommendation of maintenance actions, etc.).
• Vehicle demand forecasting.
• Predicting optimal amounts of fuel needed based on the analysis of driving patterns.
• IoT data analytics (data on cargo temperature, humidity, etc.; data on driver behavior, data on vehicle condition, etc.) for safe cargo delivery.

Banking Analytics

• Continuous monitoring of bank stability indicators.
• Institution performance forecasts.
• 360-degree view of customers.
• Identifying cross-selling and upselling opportunities.
• Insights into customer service management.
• What-if modeling for timely mitigation of market, credit, and operational risks.
• Fraud detection.
• Automated compliance checks and non-compliance alerts.

Investment Analytics

• Portfolio performance analytics with asset-specific benchmarking.
• Factor exposure, performance attribution, and risk attribution analysis.
• Continuous monitoring of market, credit, and liquidity risks.
• What-if scenarios under various risk factors and portfolio rebalancing options.
• Identifying insider trading, pump and dump schemes, HFT manipulation, and other kinds of fraud.
• Insights into tax management.
• Continuous compliance monitoring and alerting.

Insurance Analytics

• AI-powered insurance recommendations tailored for certain customer segments.
• Finance analytics with underwriting profitability monitoring and product-specific scenario modeling.
• Monitoring insurance-related risks with stress testing.
• Operational analytics insights for improving claims processing, customer service, and other internal processes.
• Workforce analytics for agents’ performance assessment, sales incentive programs adjustment, and top talent retention.
• Insights into the performance of external agencies and partners.
• Predictive and prescriptive analytics for insurance planning and optimization.

Real Estate Analytics

• Providing insights into market trends and analyzing property values to support informed investment decisions.
• Comprehensive portfolio management with expenses tracking and cash-flow forecasts.
• Calculating and monitoring rental, occupancy rates, and other property performance KPIs.
• Multidimensional customer segmentation with AI-powered suggestions on segment-specific targeting.
• Predictive analytics to forecast property value or identify property that is likely to be sold or bought in the near future.

Lending Analytics

• Providing insights into borrowers’ creditworthiness and predicting default and NPL risks.
• Lending products performance analytics.
• AI-powered recommendations for loan portfolio optimization.
• Identifying bottlenecks in underwriting, loan approval, servicing, debt collection, and other operational processes.
• Continuous compliance monitoring and non-compliance alerting.

Energy & Utilities Analytics

• Continuous monitoring of energy generation and distribution assets performance with AI-powered optimization recommendations.
• Analyzing renewable energy share in the energy grid.
• Predictive and preventive maintenance analytics.
• Analyzing energy consumption patterns to enable efficient resource allocation.
• Predictive analytics to forecast energy demand.

Oil & Gas Analytics

• Exploration management analytics to identify optimal drilling locations and estimate oil and gas reserves.
• Predictive analytics for estimated ultimate recovery and production rates forecasting.
• Equipment predictive and preventive maintenance.
• Environmental impact insights.
• Real-time monitoring of processes and assets (e.g., production, transportation, pipelines, storage tanks, pumping sections) with immediate alerting.
• Refinery optimization and quality control analytics.
• Insights into supply chain management.

Telecoms Analytics

• Continuous network performance monitoring and analytics to forecast excess capacity areas and optimize network capacity.
• Providing insights into customer management to foresee and prevent churn, tailor offerings, and increase customer retention.
• Identifying operational bottlenecks and providing AI-powered optimization recommendations.

Education Analytics

• Analyzing students’ and parents’ feedback on the quality of teaching and the learning environment