Big Data & Analytics

Big Data

Big Data and Analytics

  • Enterprise Analytics

    End‑to‑end data solutions specifically tailored to the needs of asset‑intensive industries.

    • Enterprise Performance Management
    • Risk Management
    • Customer Analytics
    • Profitability Analytics
    • Supply Chain Analytics
    • Asset Analytics
  • Consumer Analytics

    Turning terabytes of transactional consumer data into actionable insights and frontline actions.

    • Customer Journey Analytics
    • Behavioral Analytics
    • Targeting and Personalization
    • Predictive Support
    • Pricing Optimization
    • Fraud Detection

Data Visualization

We develop data presentation layers on top of reporting and analysis frameworks, including analytical dashboards, special‑purpose visuals and highly interactive personalized data analysis tools.

  • Medical Image Management and Analysis

    We create vendor neutral medical imaging software solutions for research and clinical needs, that analyze different medical image modalities, facilitate early diagnostics and help reduce the number of misdiagnosis cases, medical errors and repetitive imaging.

  • Virtual and Augmented Reality

    We integrate 3D imaging with VR and AR devices to ensure advanced diagnostics, provide interactive experience for health specialists, educational capabilities for patients and medical students.

  • Geospatial Visualizations

    Advanced visualizations of data coming from the physical world: geographic maps, 3D physical models and structures, data‑dense geospatial analytics, etc, integrated with other data from diversified sources, with drill-down capabilities.

Healthcare Solutions

We build healthcare infrastructure and consumer-facing technology solutions for interconnected healthcare environment, from the back office to the physician’s office.

    • Predictive data modeling and behavioral analytics
    • Natural language processing and speech recognition
    • Image and video content recognition, including face recognition and visual search
    • Optical character recognition
    • Recommendation engines and collaborative filtering
    • Context‑aware computing and virtual personal assistants
  • IoT Analytics

    Sensor, machine-to-machine and network data present significant challenges related to data volume and diversity, as well as predictive modeling. Itransition builds complex IoT solutions that blend operational device data with data from other sources to deliver intelligent insights to those who need them most.

  • Analytic engines

    • Platform Assessment
    • Tools & Services Selection

    things

    • Platform Assessment
    • Tools & Services Selection

    data stores

    • Platform Assessment
    • Tools & Services Selection
    • Platform Assessment
    • Tools & Services Selection
    • Platform Assessment

Big Data Platform Engineering

Itransition designs, develops and refines big data solutions on top of diversified data infrastructures. From applications for asset‑intensive industries to data‑driven software products, we help businesses to redefine how data is processed, transformed, exposed, and utilized. We handle implementation of both cloud‑based and on‑premises data refineries.

Data

Results

  • data services
  • smart things
  • people
  • knowledge
  • decisions

fast data

  • Streams
  • Events
  • Action

data management

  • Streams
  • Events
  • Action

data lab

  • Streams
  • Events
  • Action

apps

  • data services
  • smart things

Business Analytics

  • data services
  • smart things

Results

  • data services
  • smart things
  • people
  • knowledge
  • decisions

Integrated Analytics

We help you integrate analytical capabilities into existing software solutions and applications.

Data Architecture

Data models, policies & standards

API

Custom connectors for external data sources

User Interface

Customized dynamic dashboards

Access control

Single Sign-On, Roles & Rights

Big Data Solutions Roadmap

Section

  • Platform Assessment
  • Tools & Services Selection
  • Evaluation Criteria

Design

  • Scalable Data Stores
  • Cross-Platform ETL Processes
  • Data Visualization

Implementation

  • Data Quality & Consistency
  • Real-Time Data Processing
  • Data Migration

Operation

  • Performance Optimization
  • Platform Scalability
  • Availability
  • Security