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Problem Details
Real-time risk scoring is a problem that impacts
several industries and multiple use cases. For
example:
•	Financial services organizations assess risk in
real-time before approving a customer’s credit
card application while the customer is shop-
ping in the store
•	Online retailers have to score each transaction
for risk to minimize their fraud losses
•	Tax collection organizations end up refund-
ing more tax or audit the wrong individuals
because they have an offline process for as-
sessing risk that, at times, is too late resulting
in lost revenue or auditing the wrong filings
Solution Details
Real-time risk scoring helps identify in-flight
transactions that are non-compliant and also
reduces the number of compliant transactions
that are selected for review, thereby improving
efficiency and service. Our solution uses core
capabilities from Software AG’s Apama and
BigMemory products and integrates with
several other vendors, to offer a complete
set of capabilities.
Key features of the solution are:
•	Real-time scoring and visualization
•	Data-level integration to drive greater
insights
Your Problem: Customers expect their transactions to complete as fast as possible. Business wants to manage risk to
avoid any losses. Not checking a transaction for risk in real-time could result in heavy losses, increased inaccuracy and a
reduced ability to grow. But if checking the transaction takes too long, the business could lose the customer. If it seems
like a catch-22 situation, it is.
Software AG Solution: Software AG offers a streaming analytics platform that comes with a set of pre-defined
rules and predictive models to manage risk in real-time. It comes with several connectors to plug into existing data
sources—static or streaming. Additionally, a business can define new risk rules for scoring or integrate with a third-
party solution to take actions based on the defined rules.
What’s Software AG’s
“Secret Sauce”?
Managing risk in real-time by
correlating data from multiple
data sources—static or streaming,
and providing the flexibility to
define new rules or modify
existing ones. The solution only
produces insights in real-time.
That’s because theworld’s fastest
streaming analytics engine is at
the heart of oursolution, enabling:
•	Integration of infinite number of data sources
using out-of-the-box and custom connectors
•	Business-user friendly interface to manage
rules
•	Notification of alerts to any device or
application based on the risk score
•	Replay of historical data
•	Use of predictive analytics as part of risk
scoring
Software AG Solution Series
Real-time risk scoring
Transforming risk into opportunity
SOLUTION BRIEF
Get There Faster
Get There Faster
ABOUT SOFTWARE AG
Software AG helps organizations achieve their business objectives faster. The company’s big data, integration and business process
technologies enable customers to drive operational efficiency, modernize their systems and optimize processes for smarter decisions
and better service. Building on over 40 years of customer-centric innovation, the company is ranked as a “leader” in 15 market
categories, fueled by core product families Adabas-Natural, Alfabet, Apama, ARIS, Terracotta and webMethods. Learn more at
www.SoftwareAG.com.
© 2014 Software AG. All rights reserved. Software AG and all Software AG products are either trademarks or registered trademarks of
Software AG. Other product and company names mentioned herein may be the trademarks of their respective owners.
SAG_RealTime_Risk_Scoring_Retail_SB_Oct14
Find out how to power up your Digital Enterprise at www.SoftwareAG.com
Software AG Solution Series: Retail | Real-Time Risk Scoring
•	Agnostic approach to advanced analytics platforms
•	In-line parallel scoring of transactions using predictive analytics model by integrating
with different providers such as Zementis®
and KNIME™
•	Real-time analytics and correlation
•	Easy integration
•	Streamlined workflow
•	Scalability
•	Industrialization
The solution also enables processing data stored in Hadoop®
in real-time by directly
having the map reduce jobs write to BigMemory.
The solution can be up and running within a few months and set up in a closed loop
for continuous improvement of the risk-scoring process.
Software AG’s
Solution
Identify all data sources
•	Data sources can be static like data
stored in Hadoop or databases or
streaming like real-time data from
customer credit application
Define rules
•	Rules can be defined using the
business-user friendly interface in
Apama or by integrating with a
third-party system
•	Rules can be changed during run-
time or new rules can be
introduced “on the fly”
•	Rules work along with predictive
analytics to score risk
Take real-time action
•	Alerts can be defined for different
risk scores and sent to devices and
applications
•	Results can also be reviewed
visually
Review and update scoring
models
•	Predictive analytics models are up-
dated to enable better risk scoring
based on the data being processed
in real-time
•	Solution supports importing Predic-
tive Model Markup Language
(PMML) models from any predictive
analytics provider, such as SAS®
software and Zementis

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Software AG Streaming Analytic's for risk scoring

  • 1. Problem Details Real-time risk scoring is a problem that impacts several industries and multiple use cases. For example: • Financial services organizations assess risk in real-time before approving a customer’s credit card application while the customer is shop- ping in the store • Online retailers have to score each transaction for risk to minimize their fraud losses • Tax collection organizations end up refund- ing more tax or audit the wrong individuals because they have an offline process for as- sessing risk that, at times, is too late resulting in lost revenue or auditing the wrong filings Solution Details Real-time risk scoring helps identify in-flight transactions that are non-compliant and also reduces the number of compliant transactions that are selected for review, thereby improving efficiency and service. Our solution uses core capabilities from Software AG’s Apama and BigMemory products and integrates with several other vendors, to offer a complete set of capabilities. Key features of the solution are: • Real-time scoring and visualization • Data-level integration to drive greater insights Your Problem: Customers expect their transactions to complete as fast as possible. Business wants to manage risk to avoid any losses. Not checking a transaction for risk in real-time could result in heavy losses, increased inaccuracy and a reduced ability to grow. But if checking the transaction takes too long, the business could lose the customer. If it seems like a catch-22 situation, it is. Software AG Solution: Software AG offers a streaming analytics platform that comes with a set of pre-defined rules and predictive models to manage risk in real-time. It comes with several connectors to plug into existing data sources—static or streaming. Additionally, a business can define new risk rules for scoring or integrate with a third- party solution to take actions based on the defined rules. What’s Software AG’s “Secret Sauce”? Managing risk in real-time by correlating data from multiple data sources—static or streaming, and providing the flexibility to define new rules or modify existing ones. The solution only produces insights in real-time. That’s because theworld’s fastest streaming analytics engine is at the heart of oursolution, enabling: • Integration of infinite number of data sources using out-of-the-box and custom connectors • Business-user friendly interface to manage rules • Notification of alerts to any device or application based on the risk score • Replay of historical data • Use of predictive analytics as part of risk scoring Software AG Solution Series Real-time risk scoring Transforming risk into opportunity SOLUTION BRIEF Get There Faster
  • 2. Get There Faster ABOUT SOFTWARE AG Software AG helps organizations achieve their business objectives faster. The company’s big data, integration and business process technologies enable customers to drive operational efficiency, modernize their systems and optimize processes for smarter decisions and better service. Building on over 40 years of customer-centric innovation, the company is ranked as a “leader” in 15 market categories, fueled by core product families Adabas-Natural, Alfabet, Apama, ARIS, Terracotta and webMethods. Learn more at www.SoftwareAG.com. © 2014 Software AG. All rights reserved. Software AG and all Software AG products are either trademarks or registered trademarks of Software AG. Other product and company names mentioned herein may be the trademarks of their respective owners. SAG_RealTime_Risk_Scoring_Retail_SB_Oct14 Find out how to power up your Digital Enterprise at www.SoftwareAG.com Software AG Solution Series: Retail | Real-Time Risk Scoring • Agnostic approach to advanced analytics platforms • In-line parallel scoring of transactions using predictive analytics model by integrating with different providers such as Zementis® and KNIME™ • Real-time analytics and correlation • Easy integration • Streamlined workflow • Scalability • Industrialization The solution also enables processing data stored in Hadoop® in real-time by directly having the map reduce jobs write to BigMemory. The solution can be up and running within a few months and set up in a closed loop for continuous improvement of the risk-scoring process. Software AG’s Solution Identify all data sources • Data sources can be static like data stored in Hadoop or databases or streaming like real-time data from customer credit application Define rules • Rules can be defined using the business-user friendly interface in Apama or by integrating with a third-party system • Rules can be changed during run- time or new rules can be introduced “on the fly” • Rules work along with predictive analytics to score risk Take real-time action • Alerts can be defined for different risk scores and sent to devices and applications • Results can also be reviewed visually Review and update scoring models • Predictive analytics models are up- dated to enable better risk scoring based on the data being processed in real-time • Solution supports importing Predic- tive Model Markup Language (PMML) models from any predictive analytics provider, such as SAS® software and Zementis