How advanced analytics is impacting the banking sector
Post on 13-Apr-2017
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© 2015, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-7555
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A Hitachi Data Systems Company
How advanced analytics is impacting the banking sectorPentaho - Architected for the Future of Analytics MICHAEL HADDAD
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What I can (hopefully) tell you about:
Analytics in banking
Hitachi Data Systems and Pentaho
Blending data
Data scientists
Technology for analytics
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Six to 10 mega trends• investing in compliance
Regulatory changes and complexity
• new challengers to disrupt • changing the way customers interact
Digitalisation and technological advances
Changes in investment and capital sources and returns
• different expectations and ways of interacting with financial institutions
Demographic and behavioural changes
• who wants to be a banker?
Global talent and skills race
Business operating model pressures
Reference: Jagdev Kenth, http://www.resilience.willis.com/;
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Using Customer Analytics to Drive
Contextual Experiences
Expedited Deployment of Digital
DeliveryMobile-First Design Increasing Digital and
Social Selling
Mass Market Acceptance of Mobile
Payments
Focus on Security and Authentication
Industry Consolidation
Enhanced Customer Incentivisation
Investment in Innovation,
Incubation and Uncommon Alliances
Increased Impact of Digital Disruptors
Six to 10 mega trends
Reference: Jim Marous, http://thefinancialbrand.com/
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Data analytics and these trends
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Use Data Analytics to
Reduce riskReact to
events and circumstances
Deliver personalised
services
Drive new technologies
Retain skills
It can be a differentiator
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Use cases
Customer analytics, segmentation,
attrition analysis, profitability analysis
Marketing analytics, success of campaigns
Fraud analytics, detection analysis
Risk analytics, credit risk analysis
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BI then and BA now
Ref: https://rapidminer.com/
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A Hitachi Data Systems Company
Hitachi Data Systems and Pentaho
© 2015, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-7555
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Hitachi and Pentaho
© 2015, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-7555
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Hitachi and Pentaho
© 2015, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-7555
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Modern, unified data integration and business analytics platform• Broadest and deepest big data integration• Embeddable, cloud-ready analytics• Big data blending at the source
Fast and Broad Innovation• Open source development model• 100% java, pluggable and extensible
Critical mass achieved• Over 1,200 commercial customers• Over 10,000 production deployments
Pentaho MissionEnabling the future of analytics
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Pentaho Key PointsMeeting the demands of the big data-driven enterprise
Blended Big Data at the source for more accurate insights
Enterprise-ready data integration and simplified embedding for any environment
Simplified analytics experience with a modern interface
Analytics
Blended Big Data
EnterpriseBig Data
Integration
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Simplified Analytics
Experience
Simplified Administration, Management &
DeploymentDifferent Audiences, Different Needs
Higher User Expectations
Landslide of Data Blended Big Data for
Comprehensive Analytics
Enabling the Modern Big Data Driven EnterpriseKey pressure points disrupting the traditional analytics market
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ANY Analytics• Reports• Dashboards• Visualizations• Discovery• Predictive
Analytics
ANY Environment• Data warehouses• Data marts• Stack vendors• Cloud• Embedded
Existing & New Data
Infrastructure & Processes
ANY Data• Relational• Operational• Big Data• Data sources not yet
anticipated…
Billing
Location
Social Media
Customer
Web
Network
The New RealitySimplified Analysis for all Users
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A Hitachi Data Systems Company
Blended Big Data
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Improve operational effectiveness• Machines/sensors: predict failures, network attacks• Financial risk management: reduce fraud, increase
security
Reduce data warehouse cost• Integrate new data sources without increased database
cost• Provide online access to ‘dark data’
Drive incremental revenue• Predict customer behaviour across all
channels• Understand and monetize customer
behaviour• Begin to monetize data as a service
Customer Value from Big DataMonetizing big data-driven use cases driving need to blend data
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Analytics
Analyze quality of service: • Network outages• Dropped calls • Poor quality• Calls to support center
For profiles of customers:• Up for renewal• Profitable• Multiple agreements/services• In competitive area
Determine best action to take:• Billing Credit• Customer Coupon • No Action
EDW
ExistingETL Tool
or PDI
Customer
Billing
Provisioning
Call Detail Records from: • Billing• Payment• Usage
NoSQLNetwork
Location
PDI
Call Detail Records from Network: • Outages• Drops• Service Quality
PDI
Blend revenue-related and quality-of-service data together to find customers at risk
Why Blending at the Source MattersCustomer Experience Analytics for loyalty and revenue
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• Just in time blending of data from multiple sources for a complete picture• Connect, combine and transform data from multiple sources• Query data directly from any transformation• Access architected blends with the full spectrum of Pentaho Analytics• Manage governance and security of data for on-going accuracy
Accurate, Blended Big Data AnalyticsOptimally stored data, blended when needed
EDW
ExistingETL Toolor PDICusto
mer
Billing
Provisioning
NoSQLNetwork
Location
PDI
PDI Analytics
Just in time blending
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A Hitachi Data Systems Company
Data Science
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The data analyst / data scientist
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Data scientist
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Why do we need them?
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Why do we need them?
Hitachi Data Systems and Pentaho
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Analytics allows us to complement the machine
Intelligence Augmentation
An increasing number of humans
work for the machine
Analytics improves human’s insights
Weak human plus computer is better
than a grandmaster
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A Hitachi Data Systems Company
Analytics technology
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Pentaho and MongoDB
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Pentaho and NoSQL Databases
© Hitachi Data Systems Corporation 2015. All rights reserved.29
Vendor-neutral: Integration of disparate technologies curated and supported via ecosystem of partners
Flexible: Flexibility built into architecture at multiple levels from infrastructure to Data services to analytics libraries
Modular: Pluggable light-weight architecture to allow appropriate tool for data management
Solution focused: Focus on the full stack from the physical infrastructure to analytics
modules to help with solution building
OPAL (Open Platform for Analytics)
© Hitachi Data Systems Corporation 2015. All rights reserved.30
Hitachi Big Data Analytics Ecosystem
Data Connectors (HSDP For Streaming
Data)
Data Services (Pentaho Tools for Integration, Orchestration, ETL, Indexing)
Analytic Libraries(R, Weka, …)
System Integration & Customization Services
Visualization(Extracts, Dashboards,
Reports)
Platform Services(Hadoop, Storm, Spark, Cassandra, MongoDB)
Infrastructure(Hyper-Converged Scale-Out Platform)
Cloud-EnabledPublic Private Hybrid
Telecom HealthCare Public SafetyData Center FinanceOTHER ONE
HITACHI SOLUTIONS
Common Analytics Framework(Developed jointly with Hitachi R&D Labs)
BIG DATA LAKE
Video, Image & Audio
Email & Documents
TX
Transactional Data
TX
IT, Sensor & Machine Logs
Social Media
Custom Solutions
© Hitachi Data Systems Corporation 2015. All rights reserved.31
Big Data Solution Development Challenges
A big part of solution development for analytics involves orchestration of various moving parts in the infrastructure:
‒ Domain experts need access to appropriate data sets backed by technology stack to gather insights based on intuitions.
‒ Time to value for a solution can be accelerated by providing an agile mechanism to deploy from prototype to production application quickly.
Infrastructure Installation
Component Deployment
Application Logic Implementation Testing
Configure Cluster & Monitoring
© Hitachi Data Systems Corporation 2015. All rights reserved.32
Easier to Provision Infrastructure
Easier to Deploy Services
Easier to Monitor, Troubleshoot, and Validate
Easier to Develop & Integrate New Services
Opal – Big Data Analytics Made Easy & Robust
Infrastructure Installation
Component Deployment
Application Logic Implementation Testing
Configure Cluster & Monitoring
Before
With Opal
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A Hitachi Data Systems Company
Thank You
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@Pentaho
Facebook.com/Pentaho
Pentaho Business Analytics
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