Today, enterprises are looking for innovative ways to digitally transform their businesses - a crucial step forward to remain competitive and enhance profitability. Streaming analytics is a key technology enabler that supports this effort by providing real-time insights on data in motion to help organizations gain the business intelligence they need. Every industry has its unique challenges, especially where data is concerned. A key advantage of streaming analytics is that it can be customized to create solutions that meet the specific requirements of a particular industry. With years of expertise adapting our analytics products to customer needs, we’ve designed solution templates that target prominent pain points in specific industries. In this webinar Nirmal will, Introduce WSO2 Analytics Solutions and theirs use cases (finance and banking, retail, location analytics, IT operations analytics, etc.) Demonstrate our fleet management solution that gives you the ability to Know where your fleet is at the moment Analyze your drivers’ behavior (do they obey speed limits and use optimal routes?) Find the optimal routes (predict congestion) Check whether the driver and the cargo are safe Receive alerts on violation of rules based on Geo-fences Explain how to customize WSO2 Analytics Solutions Discuss how to reach out to us

1. Solutions Using WSO2 Analytics
Nirmal Fernando
Technical Lead - WSO2

2. Diverse Industries -> Unique Challenges
http://www.solgenie.com/industries/

3. “The price of light is less than the cost of
darkness.”
- Arthur C. Nielsen,
Market Researcher & Founder of ACNielsen

4. Value of Insights Degrade Fast
http://www.history.com/news/ask-history/who-determined-the-speed-of-light

5. http://www.bluntmoms.com/mom-guilt-theres-one-solution/

6. Stream Processor Core
WSO2 ANALYTICS OFFERING
6
▪ Consumes events, and publish
alerts and summarizations to and
from various enterprise systems.
▪ Event Processor Core with
Streaming Complex Event
Processing, Incremental Time
Series Aggregations, and
Streaming Machine Learning.
▪ Stream Processing Functionalities
via Extension Store
▪ High Available and Scalable
Analytics Fabric
▪ Prebuilt and custom analytics
solutions
Events
JMS, Thrift, SMTP, HTTP, MQTT, Kafka
Analytics Fabric
Complex Event
Processing
Incremental Time
Series Aggregation
Machine
Learning
Extension Store
FinancialandBanking
Analytics
RetailAnalytics
LocationAnalytics
OperationalAnalytics
SmartEnergyAnalytics
Custom
Analytics
Solutions
...
Solutions

7. Finance and Banking

8. “Organizations around the world lose an estimated 5% of
their annual revenues to fraud”
- ‘2016 Report to the Nations’,
Association of Fraud Examiners
“Global Money Laundering losses estimated at $2 Trillion
annually”
In 2016, global capital market saw transaction volumes of
$661 Bn.

9. Use Case 1 - Fraud Detection
• Detecting fraud via known patterns using generic
rules
• Detecting unknown types of fraud via machine
learning
• Detecting rare activity sequences using Markov
Modeling
• Reduce false alarms using fraud scoring
• Caught them in the act - what next?
Demo: https://goo.gl/xo6Wf5

10. Use Case 2 - Risk Management
• Finding real-time Value at Risk (VaR)
– Historical simulation
– Variance-covariance
– Monte Carlo simulation

11. • Identifying Front Running with Patterns
Use Case 3 - Stock Market Surveillance
Hey Jude, Mike is
going to buy large qty
of ABC at $21. You
better buy now!
Great! I
bought. ABC
is just $18.9
right now!
Trade 1
Followed by
Trade 2
Jude sells to Mike at
$21.
Broker: Bob
Client Client
MikeJude

12. Use Case 3 - Stock Market Surveillance
• Identifying Pump with Regression
• Identifying signs of Insider Dealing
• Model “Perfect Trader” in order to detect
fraudsters

13. Retail

14. “Beacon-enabled campaigns have an average click through
rate of 60%, compared with traditional campaigns like email
marketing at 2%”
74% retailers believe that developing a more engaging
in-store experience is going to be business critical"
- ‘2015 Store Operations Survey’,
Retail TouchPoints

15. Use Case 1 - Recommendations
• Recommendations based on the buying products
• Recommendations based on the buying history of
the customer
• Seasonal recommendations
• Contextual, intelligent recommendations

16. Use Case 2 - Ad Optimization
• Display personalized advertisements on online
shopping stores
– by identifying person’s living location
– by identifying person’s buying history
– by identifying person’s interest
• Optimize displaying advertisements on shopping
stores
– what impact the Ad made? Is it worth the
cost?

17. • Send personalized information when a customer
enters the store
• If a customer is spending a considerable amount
of time near a shop, suggest offers, send an
agent to him etc.
Use Case 3 - Proximity Marketing

18. • Detect that the customer leaves the store and send him
a gift coupon
• Number of customers & employees in each floor (heat
maps)
• Number of customers & average time spent per product
• Shopping path, purchased items, average time spent by
each customer
• Overall statistics about given and used offers
Use Case 3 - Proximity Marketing

19. Location Analytics

20. McKinsey predicts there are growing opportunities for
businesses to use geospatial data to track assets, teams, and
customers across dispersed locations to generate new
insights and improve efficiency.

21. Use Case - Fleet Management
• Real-time monitoring - where is your fleet now?,
Visualize your fleet
• Geo-fencing based alerts - get alerted if a driver
exceeds a defined speed limit within an interactively
given geo area
• Predicting travel times - historical data can be used to
build a machine learning model in order to predict
travel times in advance and alert the subscribers

22. Demo

23. Operations Analytics

24. Businesses have discovered the value of applying big data
analytics to front-line business systems.
Operational analytics allow companies to be more
competitive, drive more transactions, eliminate fraud and risk,
streamline operations, and achieve amazing cost efficiencies.

25. Use Cases
• Collect data from different stages of business
operations
• Tracking the progress of your business operations
• Detect Service Level Agreement violations at each
stage and generate alerts
• Visualize your business operations real-time
• Generate alerts and notify the subscribers

26. Demo

27. Other Solutions
• Network Monitoring
• Smart Energy Analytics
• Social Media Analytics
Check out https://wso2.com/analytics/solutions/

28. How to customize the solutions?
• If our analytics solutions / use cases align with your
business requirements;
– You can reach us to see a detailed demo
– We would like to discuss and understand your
requirements in detail
– Our well trained engineers can help you customize
the pre-built solutions for your organization via
our development services offerings.

29. Interested? - Contact us
https://wso2.com/contact/

30. UBER uses WSO2 Siddhi CEP engine (the core of WSO2 DAS) as their Policy
Engine for detecting Taxi Fraud and Policy Violations and acting fast on them.
This platform has been in production for more than a year and supports over
100 real-time data use cases by a 3 member team.
UBER selected WSO2 because of the open source nature, lightweight,
scalability and extensibility of WSO2 products.

31. Experian delivers a digital marketing platform, where WSO2 Stream Processor
plays a key role.
This solution allows to analyze customers behavior in real-time and offer
targeted promotions.
WSO2 Stream Processor was chosen after careful analysis, primarily for its
openness, its open source nature, the fact that support is driven by engineers
and the availability of a complete middleware, integrated with WSO2 Stream
Processor, for additional use cases.

32. Colombo Stock Exchange uses the WSO2 Stream Processor as a Market
Surveillance tool to detect Stock Market Manipulation
CSE uses siddhi queries to capture known manipulation patterns as well as
unknown patterns through continuously learning rules
CSE chose WSO2 due to adaptable and pluggable nature of the WSO2
Stream Processor. Confidentiality and Professionalism were also priorities
when picking a vendor for Stock Market Surveillance.

33. Experian delivers a digital marketing platform, where CEP plays a key role to analyze in real-time
customers behavior and offer targeted promotions. CEP was chosen after careful analysis, primarily
for its openness, its open source nature, the fact support is driven by engineers and the availability
of a complete middleware, integrated with CEP, for additional use cases.
Eurecat is the Catalonia innovation center (in Spain) - Using CEP to analyze data from iBeacons
deployed within department stores to offer instant rebates to user or send them help if it’s detected
that they seem “stuck” in the shop area. They chose WSO2 due to real-time processing, the variety
of IoT connectors available as well as the extensible framework and the rich configuration language.
They also use WSO2 ESB in conjunction with WSO2 CEP.
Pacific Controls is an innovative company delivering an IoT platform of platforms: Galaxy 2021. The
platform allows to manage all kinds of devices within a building and take automated decisions such
as moving an elevator or starting the air conditioning based on certain conditions. Within Galaxy
2021, CEP is used for monitoring alarms and specific conditions.Pacific Controls also uses other
products from the WSO2 platform, such as WSO2 ESB and Identity Server
33
A leading airline uses CEP to enhance customer experience by calculating the average time to reach
their boarding gate (going through security, walking, etc.). They also want to track the time it takes
to clean a plane, in order to better streamline the boarding process and notify both the airline and
customers about potential delays. They evaluated WSO2 CEP first as they were already using our
platform and decided to use it as it addressed all their requirements.
SUCCESS STORIES

34. 34
a
Winning the Data in Motion Hack Week with AWS and Geovation, providing an impressive solution,
taking the data from many modes of transport and overlaying passenger flow/train loading and
pollution data, and allowing users to plan a route based on how busy their stations/routes are, whilst
also taking air quality into account.
DEBS (Distributed Event Based Systems) Challenge in Smart Home electricity data: 2000 sensors,
40 houses, 4 billion events. We posted fastest single node solution measured (400K events/sec) and
close to one million distributed throughput. WSO2 CEP based solution is one of the four finalists, and
the only generic solution to become a finalist.
Build solution to search, visualize, analyze healthcare records (HL7) across 20 hospitals in Italy, with
the combination of WSO2 ESB.
Foods supply company in USA, detects anomalies such as delivery delays and provides personalized
notifications, and makes order recommendations based on history.
DEBS 2014
SUCCESS STORIES

35. THANK YOU
wso2.com