Harness the Power of Cloud

Build and run Apache Spark applications in the cloud
10x faster with a visual IDE

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Contextualize Customer Experiences

Deliver personalized interactions that are relevant in the moment

Gain Real-time Operational Intelligence

Dramatically increase operational efficiency across your enterprise

Sense and Respond to IoT Data

Process, analyze and gain insights from thousands of IoT devices in real-time

Data Processing and Machine Learning

In Cloud or In-Premise

A visual IDE to convert your raw data into business insight with self-service data processing, machine learning and DevOps

Built for Cloud or
On- prem

Build applications that connect to infrastructure and services no matter where they are

Unify Batch and Streaming
Data Analytics

Ingest and blend big data flows into your data lake; from any batch or streaming data source

Leverage Machine Learning
Support

Get a consistent user experience across Apache SparkTM and other engines (Apache StormTM, Apache FlinkTM, TensorFlowTM)

Self- service

Easily explore and process complex data at scale, to have greater control over your analytic output

Build Data Driven Applications Visually

Data 360

An end-to-end big data processing platform− data ingestion, data analytics, machine learning, action triggers, and data visualization

Intuitive UI

Offers the ease and power of a visual IDE over a complex mix of big data analytics technologies

Click + Code

Use pre-integrated drag-and-drop operators or introduce hand-written custom logic

Optimized Solutions Across Use Cases

Credit Card Fraud Detection in Real-time

A large US bank predicts and curbs credit card fraud through real-time analytics using StreamAnalytix.

  • Cluster models identify fraudulent transactions in real-time, based on historical data
  • Classification of fraudulent transactions is continuously updated in real-time
  • Transactions are further classified by value and volume (low to high)
  • Custom alerts are created for various retail merchants and zip codes
  • Allows summary report for any interval
  • Enables persisting of identified patterns for future analysis and offline reporting
  • New models can be implemented in a weeks’ time
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Connected Car Solution

StreamAnalytix enabled a large US based auto insurance provider to build an end-to-end real-time big data analytics application for driver profiling and risk assessment. The application enabled a new usage based insurance offering.

  • Enabled an individual risk assessment model based on real-time analytics of incoming streaming data around; driving behavior, vehicle usage and performance data, and third-party data like weather and driving conditions
  • The driver profiling and vehicle risk assessment enabled a highly personalized pricing and discounting options
  • Additionally, enabled remote vehicle diagnostics and predictive maintenance services
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Anomaly Detection in Real-time

Identify outliers through real-time analytics of transactional data, log data, customer behavior, and other historical data. Gain actionable insights in a wide variety of application domains such as: fraud detection, network traffic management, predictive healthcare, energy monitoring and many more.

A few examples include:

  • Analyze log data to detect network anomalies like suspicious behavior or patterns from malicious users/applications or faulty devices
  • Predict and prevent loss of a customer by identifying behavior patterns leading to a possible churn
  • Detect fraudulent patterns in massive stock market streaming data sets by using unsupervised learning methods, to identify anomalies such as market manipulation and price rigging
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Call Centre Analytics

A tier 1 contact center deployed a new real-time call center analytics and infrastructure monitoring system with StreamAnalytix. It allows unified real-time analytics of events that are scattered across different media networks and geographies

  • Enables tracing of the complete call flow, and raising service alerts based on real-time data analytics
  • Allows call stitching in real-time (view, sort, filter and zoom into a call), and identifying top 10 most dominant call paths
  • Real-time sentiment analysis of multi-lingual text data, including: alerts on emails and conversations
  • Predicts future pricing models and requirements
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Top Companies are Benefiting from StreamAnalytix

This is how Fortune 500 companies are creating value

Speed
10x Faster
Development

Build Big Data applications
5x to 10x faster

Pharma major builds &
deploys 2 critical Spark
pipelines in 2 days >

Performance
4x Performance
Boost

4x boost in performance
at the same cost

Major bank onboards
5x more application traffic
on existing hardware >

Productivity
3x Gain in
Efficiency

Have your existing team
work seamlessly with the changing technology landscape

Telco giant increases
team productivity by
a dramatic 70% >

Scale
1 Mn+ Events
Per Second

Process millions of events per second - both on-prem and in the cloud

Major auto insurer offers
usage-based insurance
based on telematics data >

Recognized By

Forrester

One of 13 Most Significant Stream Analytics Providers

The Forrester Wave™: Streaming Analytics, Q3'17

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Aragon Research

One of 4 Hot Vendors in the Stream Analytics Space in 2017

Hot Vendors in Streaming Analytics, 2017

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Gartner

One of the Key Event Stream Processing Platforms

Market Guide for Event Stream Processing, 2017

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Datanami

Best Big Data Analytics Product or Technology: Real-time Analytics

Datanami Editors' Choice Award

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of StreamAnalytix

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