Data 360
An end-to-end data processing platform for data ingestion, data analytics, machine learning, action triggers, and data visualization
Harness the power of cloud
Build and run Apache Spark applications in the cloud 10x faster with a visual IDE
Empowering enterprise teams across their data flow journey
Convert your raw data into business insights with an automated self-service low-code platform in the cloud or on-premises
Unified batch and streaming
data analytics
Move, cleanse, and transform your data in the cloud from any source
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Machine learning and data science
Build, operationalize, and manage machine learning models at scale
LEARN MOREBuild data-driven applications visually
Intuitive UI
Offers the ease and power of a visual IDE over a complex mix of data analytics technologies
Click + code
Option to 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 predicted and curbed credit card fraud through real-time analytics using StreamAnalytix.
- Used cluster models to identify fraudulent transactions in real-time based on historical data
- Classified and updated fraudulent transactions updated in real-time
- Classified transactions by value and volume (low to high)
- Created custom alerts for various retail merchants and zip codes
- Provided summary report for any interval
- Enabled persisting of identified patterns for future analysis and offline reporting
- Implemented new models in a week
Hyper-personalization in marketing analytics
StreamAnalytix enables cross-sell and up-sell recommendations and increases business productivity through real-time marketing analytics.
- Process unstructured data from multiple sources
- Monitor and respond timely
- Extract precise, actionable insights
- Take advantage of four marketing channels across 14 markets
- 3.5+ million recommendation requests
- Process 300 transactions per second
- Improved average latency of 250 milliseconds
- $2M+ in increased annual revenue
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 various 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 customer attrition by identifying behavior patterns leading to a possible churn
- Detect fraudulent patterns and identify anomalies such as market manipulation and price rigging in massive stock market streaming data sets by using unsupervised learning methods
Call centre analytics
A tier 1 contact center deployed a real-time call center analytics and infrastructure monitoring system with StreamAnalytix for unified real-time analytics of events scattered across different media networks and geographies
- Traced complete call flow and raised service alerts based on real-time data analytics
- Stitched calls in real-time (view, sort, filter, and zoom into a call), and identified the top 10 most dominant call paths
- Performed real-time sentiment analysis of multi-lingual text data, including alerts on emails and conversations
- Predicted future pricing models and requirements
How Fortune 500 companies are creating value using StreamAnalytix
10x
faster development
A pharma major builds &
deploys two critical Spark
pipelines in two days
4x
performance boost
A major bank onboards
4x more application traffic
on existing hardware
3x
efficiency gain
A telco giant increases
team productivity by
70%
1Mn+
events per second
A major auto insurer offers
usage-based insurance
based on telematics data
Recognized by
Forrester
One of the 11 Most Significant Streaming Analytics ProvidersThe Forrester Wave™: Streaming Analytics, Q3 2019
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Aragon Research
One of 4 Hot Vendors in the Stream Analytics Space in 2017Hot Vendors in Streaming Analytics, 2017
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Gartner
One of the Key Event Stream Processing PlatformsMarket Guide for Event Stream Processing, 2017
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Datanami
Best Big Data Analytics Product or Technology: Real-time AnalyticsDatanami Editors' Choice Award
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Resources
Webinars
Building a cloud-based ETL pipeline in minutes
Dec 22, 2020 | 11:30 am IST
