Inovsion draws up a big data implementation/evolution strategy, conceptualizes a big data analytics solution, chooses an optimal technology stack, and proves the viability of a complex big data project with a PoC.
Inovsion designs, develops, and implements a full-scale big data analytics solution with a unique feature set to address your business needs and objectives.
Inovsion conducts a health check to diagnose the issues within the existing big data infrastructure, provides tailored recommendations, and introduces relevant changes, if required, to ensure maximized ROI of a big data solution and its smooth evolution.
Inovsion aggregates and analyzes your big data so that you can get actionable one-time or regular analytics insights without the need to set up and maintain a proprietary big data solution
We have a large dedicated team of PhoneGap developers. Our app developers use proven methodologies, prototype the business value as per the need of the clients, and develop bug-free application.
Enterprise data warehousing for company-wide data consolidation and storage.
Corporate performance analytics.
Strategic and operational planning.
Operational data storage and management.
Detection of deviations and undesirable patterns, recognition of operational bottlenecks.
Cause-effect analysis, operational performance prediction and forecasting.
Collection and storage of demographic, transactional, interaction, etc. customer data.
Customer segmentation and customer behavior modeling.
Personalized marketing, product recommendations, discounts, etc.
Customer churn management.
Capture and storage of data on assets and liabilities, demographic, transactional, behavioral and social data on customers and policyholders.
Risk management (credit risk assessment, counterparty and liquidity risk analytics, etc.).
Detecting fraud in cash transactions, check tampering, claims, etc.
Fraud modeling.
Capture and storage of patient and medical device data.
Remote patient monitoring (alerting on acute conditions, on trends and patterns requiring a doctor's attention).
Personalized care and lifestyle recommendations, personalized risks assessment, etc.
Storing real-time inventory, demand, supplier, and inventory cost data.
Demand/supply balancing in real time, inventory levels recommendations.
Supply chain cost modeling and optimization.
Supplier risk estimation.
Collecting and storing real-time data on asset location, state (sensor readings), and usage.
Alerting on asset misplacement, misuse, underutilization, pre-failure condition.
Asset utilization and asset performance analytics.
Storage of equipment sensor and maintenance data, output quality data, etc.
Predictive failure modeling in real time.
Prediction of production defects or reduced yield.
Storage of real-time GPS data, cargo data (temperature, humidity), data on driver behavior, vehicle condition, etc.
Predictive analytics for vehicle maintenance.
Operational capacity planning (delivery schedules, labor scheduling, etc.).
Dynamic route optimization.
Storage of demographic, behavioral, psychographic, etc., customer data.
In-store and online personalization.
Dynamic price optimization.
Sales channel analytics.
Product/service performance analysis, portfolio optimization.
Competitor benchmarking.
Storage of demographic, service usage, payment data, data on network load, failures, etc.
Subscriber behavior analysis (subscriber segmentation, prediction of behavior, LTV and churn).
Network management and optimization (service quality assessment, value-based network capacity planning, etc.).
