Yazzoom has built on top of open source technologies like Logstash, Kafka and Elastic Search a powerful reusable and extendible technological solution with some unique capabilities: Process mining: The ability to learn from the various heterogeneous data streams statistical models that describe how the machines, devices and systems have been used and which process steps were executed by those systems. Context dependent anomaly detection: The ability to detect in real-time anomalies or abnormal process execution in both numerical data and log files, while taking into account the context in which the system operates.

1. creating value from data
Data Mining And Machine Learning Based Solution
For Advanced Analytics On Machine Data & Log Files
11/2016 – www.machine-analytics.com

2. Machines, systems & devices generate Data
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Sensors, process data, usage metrics,
in databases, log files, message queues…

3. Data from multiple machines is full of
hard to extract valuable information
Our customers and R&D partners use our platform and analytics services to improve their service
excellence, operational excellence or R&D excellence
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4. Unique capabilities
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Yazzoom has built on top of open source technologies like
Logstash, Kafka and Elastic Search a powerful reusable and
extendible technological solution with some unique capabilities:
Process mining: The ability to learn from the various
heterogeneous data streams statistical models that describe how
the machines, devices and systems have been used and which
process steps were executed by those systems.
Context dependent anomaly detection: The ability to detect in
real-time anomalies or abnormal process execution in both
numerical data and log files, while taking into account the context in
which the system operates.

5. Anomaly detection
• Detect abnormal events, abnormal
sensor values, abnormal operation
states,…
• If it is not feasible to have a human
expert write (alarm) rules
• Learn a statistical model of what is
normal based on historical data
• Detect that new data coming is unlikely
according to model
• Examples: detect anomalies in machine
data and machine logs of internet
routers/switches, of medical devices,…
Multivariate anomaly detection
Process Mining
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6. Value inside machine data:
• Higher reliability through more realistic product testing
• ​More precise engineering requirements
• Better product design thanks to knowledge of real usage
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R&D
Service
Operations
• Gain pre-emptive knowledge of potential problems​
• More efficient investigation and troubleshooting
• ​Reduce the mean time to repair of your service team
• Real-time detection and even prediction of anomalies
• ​Avoid down-time and other costs through automatic
remediation actions
• Speed up root cause analysis for faster recovery

7. More value from machine data:
Custom Analytics Modules developed by our multi-disciplinary team of
experts for your needs and according to your specifications, for example:
• Typical product interaction pattern extraction for up and cross-selling
• Machine performance insights
• Root-cause analysis system to find the likely origin of a problem
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Custom

8. Flexible Deployment & Integration
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The solution can be integrated on your company's private
servers or in the cloud. We cooperate with your technical
team to seamlessly integrate it in your infrastructure.
The output generated can be visualized in dashboards,
trigger notifications or remediation actions to minimize or
avoid further issues, or be stored for further analysis e.g.
for interactive exploration in search of bugs or root causes
of machine failures in dedicated front-ends.

9. Summary:
• Yazzoom offers unique solutions for machine data analytics, thanks to its process
mining and anomaly detection combination
• Yazzoom’s team unique combination of engineering and data science expertise
allows us to tackle machine predictive modelling projects with high efficiency
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Contact Yazzoom:
jan.verhasselt@yazzoom.com
GSM +32 (0)486/31.68.09
www.machine-analytics.com