Date post: | 22-Jan-2018 |
Category: |
Data & Analytics |
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#1 Agile Predictive Analytics Platform for Today’s Modern Analysts
Vamsi Chemitiganti
General Manager – Financial Services
How Predictive Analytics & Big Data are Disrupting Financial Services
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State of Global Banking
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Financial Services and Big Data
Technology vectors
• Cloud computing (OpenStack)
• DevOps and PaaS
• Mobility
• Big Data and analytics
• BPM and microservices
• Software-defined datacenters
Business vectors
• Regulation and risk management
• Compliance and regulation
• Trading systems
• Omni-channel wealth management
• Payments systems
• Bank 3.0
Digital BankBank 3.0s
Focused around business and technology vectors
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Areas of Impact
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Key areas within the financial services industry
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Lifecycle of Big Data adoption
HDP helps FSIs drive efficiency gain..
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Predictive Analytics on Hadoop
Write data prep and predictive analytics code for Hadoop
It’s complex, requires programming and specialized knowledge of each Hadoop
technology
Push automatically generated computations into Hadoop
It’s code-free, speaks Hadoop for you, and is 10 – 40 x faster to
implement Which would you prefer?
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Impact of RapidMiner & Data Science
A representative sample only…
Survey of ML algorithms used (stated briefly for confidentiality purposes)
• Classification & Class Probability Estimation
• Regression
• Similarity Matching
• Clustering
• Co-Occurence Grouping
• Profiling
• Link Prediction
• Causal Modeling
• Most use cases typically revolve around a single view of Entity
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Digital Transformation
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The digital journey in banking
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Cyber Security
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Cyber security
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Customer Segmentation
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Customer segmentation process
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Regulatory Risk Management
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Proposed SolutionHortonworks Data Platform
LANDING DATA ZONE
L0
STANDARDIZED DATA ZONE
L1
CANONICAL DATA ZONE
L2 RegulatoryReports
Internal Reports
External Reports
Search
REPORTING/ANALYTICS ZONE
L3
Golden Source & Feeds
Master Data
Contrats
Balances
Transaction
Positions
Factors/Scenarios
Market Data
Unstructured Data(hdfs)
Original Data(hdfs)
RAW Datahdfs)
Standardized Data
(Hive/orc)
Materialized View
(Hive/orc)
sqoop/hadoop fs/nfs
Kafka/Storm
Java/Scala
Standardized Data
(Hive/Orc)
Hive/Spark/Scala
Hive/Spark/Scala
MHive/Spark/Scal
Hive/Spark/Scala
Standardized Data
(Hive/Orc)
Hive/Spark/Scala
Hive/Spark/Scala
Hive/Spark/Scala
TBD??
CanonicalPosition
Data(hive/orc)
CanonicalTransaction
Data(Hive/orc)
Hive/Spark
Scala/Python/R etc
Scala/Java
Hive/Spark
ScenariosResults
(Hive/orc)
Data Aggregations
(Hive/orc/Hbase)
Analytics/Reports
(Hive/orc/HBase)
Revision History
(Hive/orc)
Common Repositories/Meta Data Management
Security
Apache Atlas/Falcon/ Custom Solution
Apache Ranger/ Atlas and Custom/Partner Solution
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AML Compliance
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Fraud/AML/Compliance Reference architecture
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Fraud Monitoring &
Detection
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Fraud DetectionReference architecture
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Modern Data Architecture with HWX and RM
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RapidMiner™ Radoop
Big Data Predictive AnalyticsExtends RapidMiner’s visual predictive analytics to Hadoop and Spark
• We speak Hadoop so you don’t have toTranslates predictive analytics into native Hive, MapReduce, Spark, Pig and Mahout – you concentrate on competitive analytics, not Hadoop programming
• COMPLETE insights into your Big DataPushes analytic instructions into Hadoop for computation, so you can analyze the full breadth and variety of your Big Data
– Structured and non-structured
• Not just drag & drop: use your favorite Hadoop scripts, too!Incorporates your favorite SparkR, PySpark, Pig and HiveQLscripts within your predictive analytics workflow
• Safe and sound Integrates with Kerberos authentication, supports data access authorization for Apache Sentry and Apache Ranger – seamless for users, easy admin for IT
- 24 -CONFIDENTIAL
#1 Agile Predictive Analytics Platform for Today’s Modern Analysts
- 24 -©2016 RapidMiner, Inc. All rights reserved.
Vamsi ChemitigantiGeneral Manager Financial [email protected]