Data & AI
Data analytics implies building an infrastructure for data aggregation, analysis, and reporting. An experienced provider of data analytics services, Nabla Infotech delivers on simple and complex needs with tailored business analytics solutions.
Nabla Infotech helps businesses from different industries integrate, aggregate, and analyze various data types from multiple data sources to address their most deliberate needs at department and enterprise levels.
Healthcare Analytics
• 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 shifts optimization.
• Optimization of clinical space and equipment usage.
Transportation And Logistics
• 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.
Supply Chain Analytics
• Supplier performance monitoring and evaluation.
• Predictive route optimization.
• Determining the optimal level of inventory to meet the demand and prevent stockouts, inventory planning and management.
• Identifying patterns and trends throughout the supply chain for enhanced supply chain risks management.
Sales And Product Analytics
• Pricing analytics to design pricing strategies.
• Identifying and predicting sales trends.
• Conducting product performance analysis.
• Tracking customer interactions with a product to identify pain points leading to churn.
• Conducting competitor benchmarking.
Customer Analytics
• Customer segmentation for tailored sales and marketing campaigns.
• Personalized cross-selling and upselling offers for extended customer lifetime value.
• Predicting customer attrition and customer churn risk management.
• Customer sentiment analysis.
Consulting
1. Strategic roadmap definition
2. Governance Setup
3. Technical consultancy
4. Operationalize Analytics
Insights
1. Business context mapping
2. Exploratory Data Analysis (EDA)
3. Identifying Trends
4. Data driven insights
5.Presenting insights to Business
Model creation and Model Enhancement
1. Problem definition
2. Data mining
3.Algorithm selection
4. Model training, assessment, testing and support
5. Model upgrades
Scaling
1. A/B testing
2. Optimization
3. What-if analysis
4. Model performance management
Artificial Intelligence
1. Recommendation engine
2. Opinion analysist
3. Named entity recognition
4. Media analysis