from systems of record to real time transactional analytics
DESCRIPTION
IBM's John Rezitnyk on using the power of cloud to deliver faster, predictive analytics to inform enterprise decisions. Presented at the Smarter Enterprise Summit in Ottawa, October 9, 2014.TRANSCRIPT
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OttawaOctober 9, 2014
#SmarterEnterprise
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From Systems of Recordto Real Time Transactional AnalyticsSystem z and HTAP:Hybrid Transaction/Analytical Processing
John ReszitnykzChampion, System z Software
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Imagine the possibility of leveraging all of your data assets
Traditional ApproachStructured, analytical, logical
Data Warehouse
Internal AppData
TransactionData
MainframeData
OLTP SystemData
Traditional Sources
ERP Data
StructuredRepeatable
Linear
Precise fraud & risk detection
Understand and act on customer sentiment
Accurate and timely threat detection
Predict and act on intent to purchase
Low-latency network analysis
DataRich, historical, private, structuredCustomers, history, transactions
The “Circle of Trust”
Data warehouse & business analytics moving closer to this data
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Imagine the possibility of leveraging all of your data assets
Traditional ApproachStructured, analytical, logical
Data Warehouse
Internal AppData
TransactionData
MainframeData
OLTP SystemData
Traditional Sources
ERP Data
StructuredRepeatable
Linear
New ApproachCreative, holistic thought, intuition
Multimedia
Web Logs
Social Data
Sensor data:images
RFID
UnstructuredExploratory
Dynamic
Text Data:emails
Hadoop
Streams
NewSources
Data: Intimate, unstructured.Social, mobile, GPS, web, photos, video, email, logs
Precise fraud & risk detection
Understand and act on customer sentiment
Accurate and timely threat detection
Predict and act on intent to purchase
Low-latency network analysis
New ideas, new
questions, new answers
The real benefit is derived from integration of new data sources with traditional corporate data•How can you query across both realms? How can you preserve security and lower TCO? How can you avoid costs and risks of offloading?
DataRich, historical, private, structuredCustomers, history, transactions
The “Circle of Trust”
Data warehouse & business analytics moving closer to this data
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45%
32%
35%
38%
42%
51%
48%
40%
Business transaction related data
Digitized corporate knowledge (process, procedures, best practices, internal
social media, etc.
Social media, Mobile, and internet generated customer and prospect data
Electronic data exchange
High Growth Growth
Source: A commissioned study conducted by Forrester Consulting on behalf of IBM, October, 2012Base: 207 Global enterprise data analytics professionals
Please answer each statement as it best describes the growth of different types of data in your firm
Where is the data to be analyzed? . . . many analytics use cases tend to draw heavily on traditional data sources (Systems of Record) often on z
Source: 2012 IBM Global Big Data Online SurveyGartner Survey Analysis: Big Data Adoption in 2013 Shows Substance Behind the HypePublished: 12 September 2013
Types of data analyzed
How strongly do you agree with the following statements about why your firm runs analytics on the mainframe?
Source: A commissioned study conducted by Forrester Consulting on behalf of IBM, October, 2012Base: 133 Global enterprise data analytics IT professionals
What types of data/records are you planning to analyze using big data technologies?
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Relevant insights come from enriching your primary enterprise data
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ReportAnalyze
Collect
CleanseTransformWarehouse
Problems: Significant effort spent copying and moving data –
resulting in veracity/security issues Business does not have access to the most current view Complicated, bifurcated infrastructure requiring multiple
skill types No single point of management Business continuity concerns
Advantages: Less movement of data, resulting in higher quality and less
risk of loss Integration with core systems delivers most accurate view to
the business Integrated architecture leveraging existing environment Single view simplifies management Business continuity inherited from core systems
Shifting to a “single view of the truth” can provide numerous advantages
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System z strategy: deliver a single workload-optimized system that integrates operations and business critical analytics into one streamlined, end-to-end data lifecycle
Leverage System zOperational Data Store
Operational transactional dataOperational analytical data
ANALYZE
REPORT
TRANSACT
CLEANSE TRANSFORM WAREHOUSE
Better business response: Reduced data movement, reduced complexity, reduced configuration resources. More accurate, more secure, more available
Customer Interaction
Data In
Business Insight
Out
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OLTP Transactions
Operational analytics
Real time data ingestion
High concurrency DB2 Native Processing
Standard reports
Complex queries
Historical queries
OLAP
More timely insights from data High-speed analytics Historical views are quickly analyzed Decision makers can perform business analysis Secured environment for highly sensitive data Speeds batch reporting cycle
Operational benefitsConfiguration simplificationSingle point of entryReduced data movementHigh fidelity dataDynamic routingSingle environment for security, logging, back-up, and recoveryCompetitive price/performance
System z: A Hybrid Transaction / Analytical Processing platformA single workload-optimized system for accelerating decisions to the speed of business
Everything is online: analytics inthe right place!
IBM
DB
2 Analytics Accelerator
Advanced analytics* Scoring
IBM PureData System
for Hadoop
orBigInsights on Linuz for z
Integrate
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The hybrid approach: Hybrid Transaction/Analytical Processing Will Foster Opportunities for Dramatic Business Innovation
HTAP empowers application leaders to innovate via greater situational awareness and improved business agility
Opportunity to rethink business processes: analytics as an integral part of the process itself
o Transform business processes
o Enable business leaders to perform real-time analysis of their data
HTAP addresses the four major drawbacks of traditional IT approaches:
Architectural and technical complexity Analytic latency Synchronization Data duplication
Gartner Research Note, 28 January 2014
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DB2 Analytics Accelerator:Derive business insight from z/OS transactional data
Business Value
–Derive additional business insight –Near Real-time analytics –Extremely fast ad-hoc reporting –Cross selling and up selling –Reduced fraud
IT Value –Reduce time-to-market–Improved price/performance –Reduce costs
Customer Examples
–NLB: Banking – Better support for retail e-banking
–Swiss Mobiliar: Insurance – Provide timely insight to a growing user community while keeping compute costs flat
Business Analytics
Already have access to operational applications
AutomatedProcess
or
External CustomersOnline account analysis
End User
SPSS Modeling
Real-time AnalyticsSPSS In-Database
Scoring for DB2 z/OS
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CognosIDAA
InfoSphereIDAA
SPSSCPLEX
CICS/IMSWebSphereSAP, …
ODM/BPMScoring Rules/Processes
SPSS
x
yz
System z: improving the traditional transact/transform/report/analyze cycle while also delivering integration that targets advanced business problems
Best of breed Data Life Cycle Management for:Fighting fraud, preventing financial crimes, generating customer insights
Faster, more accurate scores Streamlined decisioning process
Faster transactions
Faster transformation of
dataFaster, more
accurate reporting
Faster, more accurate modeling
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DB2 V11 Integration with Big Data Data Sources plusInfoSphere BigInsights on System z
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Leveraging Hadoop with Mainframe data: What makes sense, when
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•Easy to use ingestion engine•Native data collectors accessed via graphical interface•Light-weight; no programming required•Multiple z/OS data sources•Conversions handled automatically•Streaming technology leverages USS (no z/OS engines) with no DASD required for staging
•A secure pipe for data•RACF integration – no need for separate or special credentials•Data streamed over secure channel using hardware crypto•Combining with BigInsights for Linux on System z means data never leaves the box
Preview: IBM InfoSphere System z Connector for Hadoop
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Real Time Transactional AnalyticsEnd to end Analytics Solution
with HTAP, BigInsights and System zMove the analytics computation to the data!!
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Next Steps
1. Meet me in the Social Café to continue this conversation.
2. Visit the tablets in the Social Café to download additional Big Data content.
3. Visit ibm.com - http://www-01.ibm.com/software/os/systemz/en_US/?lnk=mprSO-szso-usen
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