Data Analytics Services
Even the Most Voluminous and High-Velocity Data Will Be Organized Data analytics implies building an infrastructure for data aggregation, analysis, and reporting. 12 years in data analytics services, Swift Web Design delivers tailored business analytics solutions and helps companies plan future actions based on historical insights.
Building Data Analytics Solutions for Different Domains
A data analytics company, ScienceSoft helps businesses from 30+ industries integrate, aggregate, and analyze various data types from multiple data sources to address their most deliberate needs at department and enterprise levels
Patient health condition monitoring, 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.
Supply chain analytics
Identifying demand drivers, consumer demand forecasting and planning. 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 risk management.
Customer analytics
Customer behavior analysis and predictive modeling. 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.
Financial analytics
Monitoring revenue, expenses and profitability of a company. Profitability analysis and financial performance management. Budget planning, formulating long-term business plans. Financial risk forecasting and 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.
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.