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© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
2
Status 2015
� Iceland, Reykjavik, Nyherii 13 17-3-15
� Finland Helsinki, IBM 51 23-3-15
� Norway, Oslo, Evry 59 24-3-15
� Sweden, Stockholm, SEB 118 25-3-15
� Denmark, Copenhagen, DB 109 26-3-15
� Denmark Silkeborg, SD/JB 53 27-3-15
� Total 403
DB2 for developers, architects, DBAs and other good peoplewho really appreciate the strongest relational database in the world.
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
3
Agenda
DB2 Use Cases - Trends and directions
coffee
DB2 Archives / DB2 Table Archives and others – comparison
Managing DB2 with IBM Admin & Compare for System z / Update on functionality & Customer UseCase
Lunch
DB2 11 Update for Developers
coffee
Native Stored Procedures / SQL/PL for DB2 11 / Revisiting
Native Stored Procedures & SQL/PL
Closure
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
4
IBM z Systems Mobile Enablement
Focus on Information and Analytics
Peter SchouboeIBM zAnalytics, [email protected]
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
5
Agenda
� Mobile affects IT and need for Analytics
� Some infrastructure notes on z Systems
� Analytics on z Systems
– Reporting
• QMF
• Cognos
– Forecasting
• SPSS
– Decision support
• ILOG
� Summary
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
6
Mobile pervasiveness is demanding higher service levels
6
91% 75% 96% 90% 900%mobile users keep their device within arm’s reach 100%
of the time
mobile shoppers take action after
receiving a location based message
year to year increase in mobile
cyber Monday sales between 2012
and 2011
users use multiple screens as
channels come together to
create integrated experiences
increase of global machine-to-machine connections by 2022
(2 billion in 2011 to
18 billion at the
end of 2022)
© 2013 IBM Corporation6
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
7
Mobile changes the business landscape
Finance & BankingManage their investment portfolios and accounts from anywhere for complete bank transactions
InsuranceFile, process and manage claims and document damages as they happen
Travel & TransportationProvide up to date information specific to their itineraries and location and enable customer self-service
Construction & ManufacturingManage complex projects
and operations on site and streamline survey
and work order processes
RetailEngage shoppers in new
ways and intelligently target personalized and location sensitive marketing offers
Cross-Industry CIO’’’’s OfficeEmpower employees with anytime,
anyplace access to dashboards and critical information
Mobile data traffic will grow at 61%(CAGR) 2013 to 2018Where will it be stored ? How will it be manage & processed?
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
8
Mobile computing driving real-time and 24/7 business analyticsz Systems Hybrid Transaction and Analytics Platform supporting the mobile experience
� Business execs need to know the health of their business 24/7/365
� The “mobile office” supporting timely,
confident decision making - delivering
business insight any time any where
� Mobile drives real time business analytics
� Customer experience influenced by content -geo-specific offers and service offers ‘as-you-need them’ e.g. while consumers are in the store (the “mobile-moment”)
Systems of engagementneed a secure,
scalable, always-on
System of Record
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
10
Mobile workloads impact systems of record differently than web workloads.
� Increase in off-peak transactions. Expect 10-50% growth as you add a mobile channel.
� Increased query or “read-only” transactions. As many as 50% of mobile transaction could be “read-only”.
� Unanticipated spikes in workload due to popular apps, features or special offers. No traditional times for workload spikes.
� Inefficient applications written by “non-professional” coders. Drives up transaction rates unnecessarily.
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
11
Agenda
� Mobile affects IT and need for Analytics
� Some infrastructure notes on z Systems
� Analytics on z Systems
– Reporting
• QMF
• Cognos
– Forecasting
• SPSS
– Decision support
• ILOG
� Summary
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
12
Complex IT infrastructure Issues- performance issues, delays, errors, hard to debug, expensive to maintain…..
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
13
System zPR/SM
Hipersockets
Crypto functions
zSystems and Analytical Application Workloads on zLinux.
CP
U
CP
U
CP
U
zVM
z L
inu
x
z L
inu
x
z L
inu
x
z L
inu
x
z L
inu
x
z L
inu
x
z L
inu
x
z L
inu
x
DB2 UDB Cognos
IFL
IFL
IFL
IFL
IFL
IFL
SPSS Data Mart
zIIP
CP
U
CP
U
zIIP
zIIP
LP
AR
1z/O
S
LP
AR
2z/O
SAnalytical Workload
Operational BI
DB2/z IDAA link
CICS CICS
Transaction Workload
• Unlimited number of Linux clients
• 100% utilization on IFL
• Shared everything(Memory, Discs, CPU)
• No Network latency
• IFL’s on max capacity
• Box upgrade includes new IFLs – at no cost
• Only zOS CPs counts in MLC/OTC
• zIIP offload on DB2 Usefrom zLinux
IDAAHTAP Query
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
14
* No server can fully exploit its maximum I/O bandwidth
PCI – Processor Capacity Index (IBM MIPS)
141-wayCustomer Processors
PCI for1-way1695
Memory10 TB
System I/O Bandwidth832 GB/Sec*
80-way
64-way
54-way
1.5 TB
512 GB 1202902600
288 GB/sec*
172.8 GB/sec*
1514
3TB
384 GB/Sec*
101-way
z10 EC
z9 EC
z196
zEC12
z13
IBM z13: Advanced system design optimized for digital business
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
15
• Right-time insight at point of impact
• Increased business agility
• Improved data governance and security
• Reduced infrastructure cost and complexity
Transactions
Analytics
And - a new Strategy for the new type of Analytics is required….IBM/Gartner named it Hybrid Transaction-Analytical Processing (HTAP)
GARTNER:
“By eliminating analytic latency and data synchronization issues, hybrid transaction/analytical processing will enable IT leaders to simplify their information management infrastructure”
“This architecture will drive the most innovation in real-time analytics over the next 10 years via greater situation awareness and improved business agility”
Gartner Research Note G00259033: Gartner 01-2014 Hybrid Transaction Analytical Processing Will Foster Opportunities
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
16
DATA
Transaction Data
Customer Data
Account Data
Payment Data
Claims Data
System z Host:
System zOrchestration
Analytics: Predictive & Descriptive
Business Rules
networknetwork
Key Characteristics
DATA
Transaction Data
Customer Data
Account Data
Payment Data
Claims Data
System z Host:
System z
Orchestration
Analytics: Descriptive & Predictive
Business Rules
WHY? • System z already hosts a majority of the systems of
record data that feeds business analytics
• Unparalleled, proven performance execution of combining transactional data environments, analytics & rules
• Best of breed security for sensitive data
• Extensive logging for data and transaction governance
• Existing comprehensive, tested HA / DR capabilities
• Cost savings from reduced systems, software & people
• Plug and play capacity extensions and migrations enabling quick production application deployment with no downtime
High Level Strategy: Bring Analytics to the Data
� Much operational data resides on z/OS
– Many customers ETL this data to other platforms for analytics
– ETL: Expensive, error prone, security concerns, data not current, multiple copies
� ETL can be avoided
� Integrated Transaction and Analytics Processing
– OLTP and analytics in the same database
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
17
IBM DB2 Analytics AcceleratorEnhanced with PureData System for Analytics N3001
Benefits
� Extreme performance for complex queries
- Up to 2000x performance improvements
� Cost Savings
- Offload complex queries and eliminate costly query tuning
- No need to create or maintain indices
- Improves access to and lowers the cost of storing, managing and processing historical data
� Integrated with DB2 z/OS and inherits mission critical features such as security and recoverability
� Access to DB2 Analytics Accelerator is transparent to applications and users
� Fast deployment and time to value
- Installation is non-disruptive
- Plug it in, load data and go in 1-2 days
A high performance appliance that integrates Netezza technology with
zEnterprise technology to deliver dramatically faster
business analysis
Highlights – What’s New?
The PureData System for Analytics N3001 provides additional benefits to DB2 Analytics Accelerator customers:
� Advanced security through encryption of data at rest with self-encrypting disks
� Performance improvements for analytic workloads
� Improved serviceability with the recently introduced automatic call home capability
17
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
18
DB2 Analytics Accelerator Roadmap
ISAO V1
Query Accelerator
Storage Saver
Advanced Analytics
Unified Store
2011
2012/2013/2014
SPSS & HADOOPIntegration integration
Accelerating in-database
transformation
Sophisticated multi-temperature data and archiving solution
• Enhancing current capabilities
• Enabling more query acceleration
• Increasing transparency
• Supporting new use cases
• Utilizing PDA technology advantages
IDAA V2.1 (11/2011
•Netezza acceleration
IDAA V3.1 (11/2012)
•Incremental Update
•Storage Saver
IDAA V4.1 (11/2013)
•Static SQL
•Workload balance
IDAA V4.1 PTF 5 (04/2015)
•In-database transformation
•Incremental Update Turbo
IDAA V4.1 PTF 4 (10/2014)
•Encryption of data at rest
•Call Home
ELT Accelerator
2015
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
19
How we enable Mobile & Analytics with DB2
–Inside engine
• SQL Performance improvement
– (v11 provides 10 – 40%)
• SQL Enhancements (SIMD..)
– & SQL Optimization tools
• Native Stored procedures (zIIP)
• Big Insight support / JSON
– Hybrid platform enrichement
• DB2 Analytic Accelerator
• Java & .Net interfaces (zAAP)
• DRDA support (zIIP)
– Enabeling Business Applications
• Porting Analytics Apps to System z and zLinux
• Rational support
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
20
� Database Optimization
– DB2/z hardware utilization
• Compression / Encryption / Floating Point calculations
• zIIP eligible workload / e.g. distributed load through enclaved services
– z Systems Memory and performance enhancements
• DB2 Bufferpool enhancements (more in every version)
• The more memory – the lower CPU usage for queries
• Sysplex & data sharing – data ALWAYS available and unlimited growth available
• DB2 Version 11: 10 � 40% lower CPU for DB2 workloads
� Database New Functionality
– DB2/z near real time data for analytics – run off z platform – inside DB2.
• DB2 Analytics Accelerator
– DB2/z Mobile App enablement
• SQL enhancements (Cube, Rollup, Range etc..) (SMID supported)
• Mobile (JSON), Java (JDBC), Hadoop (BigInsight)
• Native Stored Procedures allows for optimized Business Logic in Mobile Apps
� Application Support
– zLinux
• Application Hub inside z – outside zOS
• Sharing zSystems strengths for RAS / allowing openness and flexibility of Linux
– z/OS
• Porting new Analytics Applications to optimize workload for mobile
Primary z Systems & DB2 updates enabling HTAP
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
21
Impressive DB2 11 Performance Results!
Query
Batch
OLTP
XML
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
22
Agenda
� Mobile affects IT and need for Analytics
� Some infrastructure notes on z Systems
� Analytics on z Systems
– Reporting
• QMF
• Cognos
– Forecasting
• SPSS
– Decision support
• ILOG
� Summary
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
23
Degree of Complexity
Co
mp
etitive
Ad
va
nta
ge
Standard Reporting
Ad hoc reporting
Query/drill down
Alerts
Forecasting
Simulation
Predictive modeling
Optimization
What exactly is the problem?
How can we achieve the best outcome?
What will happen next?
What will happen if … ?
What if these trends continue?
What actions are needed?
How many, how often, where?
What happened?
Based on: Competing on Analytics, Davenport and Harris, 2007
Reporting
Stochastic OptimizationHow can we achieve the best outcome including the effects of variability?
Descriptive
Prescriptive
Predictive
Business Analytics Adoption Landscape
Increasing prevalence of compute and data intensive parallel algorithms in commercial workloads driven by real time decision making requirements and industry wide limitations to increasing thread speed
Analytics
Operational
Decision Management
QMF
Algorithmics
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
24
QMF (Query Management Facility) / DataQuantIBM’s most ‘simple to use’ tool, for SQL driven reports
QMF
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
26
QMF Websphere for zLinux
QMF
QMFWebsphere
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
27
QMF™ for z/OS 11 goes where you go
Go Mobile!!
QMF for z/OS allows your users to access QMF dashboards and reports from their tablet devices…Build once, deploy everywhere.
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
28
Cognos Analytics on z� Strategy:
- Cognos – largest IBM’s acquisition
� Mainframe Business
- Continuous success of large client base on most mature platform, with half
century history
� Technology trend:
- Analyze the data where it resides
� Cognos 8.4 launch on Linux on System z (2008)
Consistency - since 2008, every Cognos release on Linux, Unix and Windows was
available on Linux on System z
� Cognos 8.4.1 on z/OS – Unix System Services (USS) (2011)
Delay due to technical complexity of porting to USS compared to Linux on System z
� Cognos 10.2 on USS (2012)
� Cognos 10.2.1 on USS with Mobile Release – USS (2013)
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
29
IBM Cognos Business Intelligence (for Linux on System z & z/OS)
Provides the breadth of BI capabilities required to supports all users from business critical to tactical to strategic
� Provides the qualities of service required for business critical analytics
� Enables organizations to deliver BI as a service
� Provides access to hadoop data in place
� Reduces the cost of standardization/consolidation
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
30
IBM Cognos and QMF BI for the Mobile Workforce
� Experience insight wherever you are
– Uninterrupted productivity with quick andeasy access to analytics anywhere you go
� Interact with information offline or online
– Rich, visual and interactive experience
� Confidently and easily deploy Cognos BI on industry leading form factors
– Single authoring and administrative
environment to deliver secure, relevant, and reusable content
On the road or in the office –same great insight.
Simple, reliable, and secure.
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
31
IBM Business Analytics for z Systems
� Understand your current state and your potential state
� Monitor results and fine-tune your business� Inform strategy with a view into the future
Cognos BI for zEnteprise
Business intelligence
Business outcomes/benefitsBusiness analytics capabilities
� Reporting, analysis, operational & financial planning and consolidation.
� Product profitability solutions across customers, business lines and channels
� Sales Performance Management to improve pay-for-performance programs and efficiency in incentive compensation processes
TM1 for zEnterprise
Performance management
SPSS for zEnterprise
Predictive analytics
� Predict customer segment and category affinity� Market Basket Analysis to identify the next
best offer for the customer� Overlay browsing history onto purchase history
to profile customers
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
32
Introduction to COGNOS - Core Architecture
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
33
FAST: In-Memory Analysis using Dynamic Cubes
Easier Sizing process
with the Cube Designer Hardware Sizing Guide
(for more details attend the session
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
34
What is predictive analytics?
Predictive Analytics helps connect datato effective action by drawing reliable conclusions about current conditions and future events
Gareth Herschel, Research Director, Gartner
Group
SPSS for zEnterprise
Predictive analytics
� Predict customer segment and category affinity� Market Basket Analysis to identify the next
best offer for the customer� Overlay browsing history onto purchase history
to profile customers
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
35
What does a predictive model do?
Cust:ID Balance Monthly savings > 1 Account? Account type Churn
XY6733 1.000 25 Y GT Y
XY7766 50 0 N GX Y
XY6079 5.000.000 500 Y GT N
HH4455 525 100 N GXD N
1. Collect historical information on customers that churned, and customers that stayed
2. Model searches for common characteristics
3. Model generates rule set that best predicts churn
Rule Set
Churn is likely, when:1. xxxxxxxxxxxxxxxxx
2. xxx xxxx
3. xxx xx xxx xxxx
Customers at Risk
1. xxxxxxxxxxxxxxxxx
2. xxx xxxx
3. xxx xx xxx xxxxx
Y
Y
Y
Y Y
YY
Y
Y N
N
NN
N
N
N
N
N
N
NN
N
N
N
N
N
N
N
N
N
NNN
NN
N
N
N
N
Var A
Va
r B
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
36
Technique Usage Algorithms
Classification(or prediction)
• Used to predict group membership (e.g., will this customer leave?) or a number (e.g., how many widgets will I sell?)
• Auto Classifiers, Decision Trees, Logistic, SVM, Time Series, etc.
Segmentation • Used to segment data points into groups that are internally similar and externally dissimilar.
• Identify cases that are unusual
• Auto Clustering, K-means, etc.
• Anomoly detection
Association • Used to find events that occur together or in a sequence (e.g., market basket)
• APRIORI, Carma, Sequence
SPSS ‘Technical’ - Data mining techniques
Association ClassificationSegmentation
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
37
Predict at the point of impact!
Level Points
Low Risk > -5
Medium Risk > +1
High Risk > +8
Predictive Analytics
Rules
Structured, Unstructured, Social Media. & Business Intelligence Data
Simulation & Optimization
Scoring
Front-line Rep only sees “Refer” at the point of impact
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
38
Taking Real-Time Scoring to the next level with z System
DB2 for
z/OS
Application w/latest dataReal-Time Score/
Decision Out
ETLData In
R-T, min, hr, wk, mth
Reduced Networking
In-transaction & In-database scoring on the same platform
Consolidates Resources
Meet & Exceed SLA
DB2 for z/OS Data
Historical Store
Copy
SPSS Modeler
For Linux on System z
Scoring Algorithm
Business System /
OLTP
� Improves the accuracy of Predictive Analytics by…� Scoring new and relevant
data directly within transactional applications
� Scaling to large data volumes for use in building data models
� Score 12K transactions per second in real-time
✔✔
✔
✔
✔
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
39
SPSS Predictive Analytics (for Linux on System z)
SPSS Statistics SPSS Modeler Gold
�Applies math to decision making and
research for commercial, government,
and academic users
�Data mining tool that generates hypotheses
and scoring
�Provides text analysis for unstructured data
to model consumer behavior
� Includes In-Transaction Scoring with DB2
z/OS: embeds the scoring algorithm directly
within the transactional application
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
40
Business Decisions are Everywhere
We need to add an eligibility check to
meet the requirements of the new regulation.
Let’s create a special promotion for our best
customers.
Can we automate approvals for this type
of order?
And They Change Frequently
Benefit calculation
Fraud assessment
Eligibility Pricing
Underwriting
Configuration
Tax calculation
Billing
Product Selection
Accounting Disposition
Compliance Screening
Documentation Requirements
Commissions / RoyaltiesUp-sell/Cross-sell offer
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
41
Externalize Decisions from Applications into Rules Manage decision logic independently from applications
Business Rules
ApplicationApplication
Decision logic
� Natural language rules can be easily read
� Externalized rules are easy to change
� Centralized rules enable reuse and consistency
� Rules written in software code cannot be read by business people
� Hard coded rules are difficult to change
� Rules intertwined within applications cannot be reused by other systems
Without Decision Management With Decision Management
41
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
42
Redefined Application Change Cycle
DeveloperBusiness - IT
Weeks / MonthsDays / Weeks
Functions / Tasks / FlowDecisions / Policies
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
43
IBM Operational Decision Manager v8.0.1
Rule DesignerEvent Designer
Rule Solutions for Office
Decision Center Versioned Assets
Rule Execution Event Execution Decision Monitoring Connectors
Manage
Decision ServerConsole
Design Monitor
Decision Server
Deploy Measure
VisibilityCollaborationGovernance
Define Update
Web Services – API - GUI
DevicesEnterpriseApplication
POS BPM CRM
Social
Event Widgets Space Business Console
Enterprise Console
Access and ControlDecision Artifacts
IBM Operational Decision Manager
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
44
Manage Decisions at the Speed of BusinessMajor system updates are not required for decision logic changes
requests response
Business Rule Updates
� New pricing promotion (monthly)
� Updated claims policies (quarterly)
� Tightened regulations on trading (annually)
Approve filed claim
Detect fraudulent trades
� Customer searches for a price
2
Decision Logic
� Insured members submit claims
� Brokers make trades
1
Determinepricing & bundling
� Grow customer base
� Increase customer satisfaction
� Comply with regulatory changes
Why Decisions Change?
Application
Business Rules
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
45
What does ODM bring to z/OS?
Challenges forMost z Clients
1. Consolidation, Isolation, Extension or Extinction of COBOL application portfolio
2. Be able to react to increasing variety and volume of change requests
3. Sharing business rules across platforms & channels
4. Ensuring seamless business experience in migration/ application evolution
Benefits of the ODM Approach
� Cost savings
– Shorter change cycle, without increased business risk
– Rule engine processing is zAAP/zIIP eligible
� Improved agility
– Improved Time to Market
– Manage business decisions in natural language
– Decouple development and business decision change lifecycles
� Single version of the Truth
– Consolidated and shared expression of business policy
– Maintainable with a Center of Competency model
� Incremental Adoption
– Deploy decision methodology one decision at a time
– Focus on decisions that need to change often & quickly
– Expand adoption of “market validated” decisions
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
46
IBM Decision Server
Leverage a wide range of platforms to meet the varying needs of enterprise architectures
IBM Decision Center(Windows, AIX, Linux, Linux on System z, z/OS)
Multiple z/OS deployment options
Windows AIX Linux (x, p & z) z/OS
Platform support
Repository
IBM Operational Decision Manager
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
47
Agenda
� Mobile affects IT and need for Analytics
� Some infrastructure notes on z Systems
� Analytics on z Systems
– Reporting
• QMF
• Cognos
– Forecasting
• SPSS
– Decision support
• ILOG
� Summary
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
48
z Systems: vision, strategy and technology to fuse transactions and analytics
Streamlined decisioning process
Faster transactions
Faster transformationof data
Faster, more accurate reporting
Faster, more accurate modeling
Cognos
QMF
(IDAA)
InfoSphere
Repl. Server
Information Server
CICS, IMSWebSphere,
SAP, …
Easier integration of other data sources
ODMBPM
(ILOG)
InfoSphere
BigInsights
InfoSphere
Connector
Faster, more accurate scores
Best of class integrated data life cycle management for: Generating customer
insights, fighting fraud, preventing financial crimes, …
SPSSCognos
© 2015 IBM Corporation
zAnalytics DB2 Update Day, March 2015
49
The z Systems differential
Mainframe continues to be more adaptive and affordable for mobile workloads
IBM announces new pricing : UP TO 60% reduction of processor increase due
to mobile workloads (no LPAR isolation) and also OTC VUE options
FASTESTINSTANT Response
Fastest response time, real-time access to
System of Record, current data - not old
copy. Acceleration of queries (up to 2000x)
to meet mobile
demands
TOUGHEST
Data security and resilence
Modern agile tooling with pervasive best-of-breed security, scalability, RAS
AVAILABLE
data 24/7
Only System z can handle the
massive spikes and growth of
mobile workloads