Big Data

We have a 360-degree, iterative, and proactive support consulting model for Big Data that includes,

  •   Business requirements analysis and Solution Conceptualization
  •   Optimal Architecture design and technology selection
  •   Solution Mapping through Implementation
  •   Maintenance and Support Planning that include change management, troubleshooting, and Quality Assurance
  •   Operational analytics for Industries

    We have consulting and advisory competency in measuring real-time performance, production output, capacity utilization, resource planning, and quality analysis on data derived from sensors, controllers, ERP modules, IoT devices, and Barcode scanners.

  •   Operational analytics for Business Processes

    We have consulting and advisory competency in understanding procurement, supply chain management, inventory management, production and other processes for data derived from ERP modules, Telemetry, Geolocational devices, competitor analysis, meteorological study, and the study of suppliers and dealers

  •   Customer analytics

    We have consulting and advisory competency in understanding omni-channel and multi-channel ecosystems. Our data sources include transactions, service/product usage feedback and statistics, web behaviour (purchases, returns, revisits, bounces), customer-initiated messages, social media customer activity, mobile app data, referrals, surveys, etc.

  • We help you,

  •   Understand customer behavior
  •   Customer Segmentation
  •   Create a single view of a customer
  •   Optimize their product/service portfolio to suit customers’ needs
  •   Customer experience personalization
  •   Plan marketing activities and track customers’ response
  •   Devise Customer Loyalty Programs
  •   Fraud detection & Prevention analytics

    We have consulting and advisory competency in identifying suspicious activities and averting potential fraud. Data sources include transactions, log data, ERP modules, customer profile screening, customer-initiated transaction patterns, data partners & providers.

  • We help,

  •   Speed up the process of fraud detection and monitor the process seamlessly
  •   Use predictive models and machine learning to scan for suspicious transactions.
  •   Expose fraud in real time through detailed investigation
  •   Identify gaps in sequential data, exceptions in usual or pre-determined trends, and system/process discrepancies
  •   Integrate multiple platforms, data sources and components to obtain an enterprise-specific technology stack that is composed of distributed storage, graph processing, database management, data management, data processing, intelligence, and programming language elements
  • To make it large with the capabilities of BigData in a hyperconnected IT landscape, call our BigData experts today for a free demo.