BigStreamer™ – Big Data, Streaming Analytics

Digital Transformation constitutes a new, challenging reality in all business sectors. Intracom Telecom's BigStreamer™ addresses Digital Transformation challenges of multiple industries, including Telecommunications, Financial Services and Utilities with a powerful suite of Big Data Solutions built on the latest technologies.

Our expert Data Engineers and System Administrators use BigStreamer™ to provide a rich set of functionalities, which include:

  • Data Ingestion - an extensive Adapters Repository to seamlessly capture data from virtually any information source, including any existing data warehouse.
  • Data Management - automated distributed tools that enable the transformation, correlation, enrichment, manipulation, security, anonymization and retention of data ingested into the platform.
  • Data Analysis - prepared data can serve for data modelling, complex event processing, alerts & triggers generation and creation of sophisticated reports.
  • Visualization - data visualization using BigStreamer BI or integrated with third-party applications and tools via open APIs to help create interesting graphical representations of the data.

BigStreamer can also be connected with Intracom Telecom's Cognitiva™ Enterprise-ready AI Application Suite to provide advanced analytics capabilities based on Machine Learning, Deep Learning and other Artificial Intelligence technologies.

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Petabytes of Data

BigStreamer Distribution ingests, processes and manages massive structured, semi-structured and unstructured datasets in real-time or batch mode

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Advanced & Customizable Visualizations

BigStreamer BI explores and analyzes numerous types of datasets using business intelligence visualization

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Milliseconds Responses

BigStreamer Cache in-memory database achieves millisecond response for time-critical applications

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Turn Insights to Actions

BigStreamer Rules setup automated triggering of actions & alerts upon threshold crossings on any KPI

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Regulatory Compliance

BigStreamer Trust Center controls security and privacy features on sensitive data and meet regulatory requirements

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Open Interfaces

BigStreamer APIs make all information available to 3rd party applications for further processing or visualization

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Unified Monitoring of HW, SW and data

BigStreamer Monitoring collects, analyzes and displays the most important information of the monitored systems in Big Data clusters

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Cloud Enabled

BigStreamer platform is natively cloud enabled, which ensure faster deployment, agility and easy scaling of infrastructure

BigStreamer's ability to integrate with data sources and process enormous volumes of data, enable data analysts to create revealing reports and visualizations and helping thus shed light to pressing challenges.

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Communication Service Providers (CSPs) use BigStreamer to quantify customers' perception for service, create geolocation insights, categorize, locate and quantify the root cause of repeated complaints and create 360 views of customers.

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Financial Institutions use BigStreamer to analyze and provide instant access to years of historical transactions to their million customers via multiple channels, such as Web Banking, Mobile Banking and more.

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Utilities use BigStreamer to monitor in real time the performance of their distribution network and combine network performance with measurements of customer's smart meters to analyze and understand demand and response.

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Smart Cities use BigStreamer to monitoring real-time air pollution and apply emission control measures as well as to model, interpret and analyze noise sources to alleviate noise pollution.

The list of apps that can be realized on top of BigStreamer platform is endless. Typical examples include:

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Geolocation insights

Analyze subscriber geo-mobility patterns to assist Customer Care agent improve their QoE

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Customer Network Experience

Extend a CSP's capabilities toward proactively predicting and preempting network bottlenecks to prevent problems

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Real-Time 360o Customer View

Present comprehensive overview of customer QoE & pain points assisting Customer Care agents in serving customers

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Analysis of Repeated Complaint Rate

Analyze frequent customer complaints per type and geographical area to understand reasons and take corrective actions

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Customer Journey Discovery & Analysis

Analyze customer preferences and behavior about digital/non-digital communication channels to improve customer's relationship

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Customer Satisfaction Index

Present current & historical overview of customer QoE to a customer care to understand customer's service perception

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Network Quality of Experience

Spot geographical areas where network QoE is problematic to improve customer satisfaction

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Omni-Channel Management

Ensure the same customer experience independently of the digital or physical channel used

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Personalized Demand/Response Campaigns

Incentivize consumers to reduce energy consumption in peak times to better balance supply and demand

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Live customers sociograms

Visualize interactions and relationships among customers to detect hidden patterns and improve service offered

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Non-Intrusive Load Monitoring

Determine electrical energy consumption of individual appliances by analyzing composite load measurements

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Customer Footprint Heatmap

Analyze mobile subscriber geo-mobility patterns to improve QoE and improve customer relationship