Data Analytics

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

Data analytics implies building an infrastructure for data aggregation, analysis, and reporting. An experienced provider of data analytics services, Smart Advise delivers simple and complex needs with tailored business analytics solutions.

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.

Sales Analytics

  • Sales channel 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.

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 risks management.

Healthcare Analytics

  • 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).
  • Medical staff workload prediction and work shifts 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
  • Customer Loyalty Program Analytics