Value proposition for big data isv partners 0714
Transcript of Value proposition for big data isv partners 0714
© 2011 IBM Corporation
IBM Big DataValue Proposition for ISV Partners
Niu Bai, Ph.D, Worldwide Big Data Partner Ecosystem Development Lead [email protected]
© 2011 BW @ IBM Corporation2
Acknowledgements and Disclaimers
© Copyright IBM Corporation 2012. All rights reserved.U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule
Contract with IBM
This material is copyrighted and should not be used without direct permission from IBM or the author of this content.
IBM, the IBM logo, ibm.com, InfoSphere Brand, InfoSphere Streams and InfoSphere BigInsights are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries, or both. If these and other IBM trademarked terms are marked on their first occurrence in this information with a trademark symbol (® or ™), these symbols indicate U.S. registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at www.ibm.com/legal/copytrade.shtml
Other company, product, or service names may be trademarks or service marks of others.
Availability. References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates.
The workshops, sessions and materials have been prepared by IBM or the session speakers and reflect their own views. They are provided for informational purposes only, and are neither intended to, nor shall have the effect of being, legal or other guidance or advice to any participant. While efforts were made to verify the completeness and accuracy of the information contained in this presentation, it is provided AS-IS without warranty of any kind, express or implied. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this presentation or any other materials. Nothing contained in this presentation is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software.
All customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer. Nothing contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth or other results.
© 2011 BW @ IBM Corporation
Clients Need Both to Be Successful
“…Every two days, we now generate the equivalent of all of the data that existed up to 2003. And thanks to advanced computation and analytics, we have the tools to turn that data into
insight, knowledge and better decisions…”
“…Every two days, we now generate the equivalent of all of the data that existed up to 2003. And thanks to advanced computation and analytics, we have the tools to turn that data into
insight, knowledge and better decisions…”
“Competitive Advantage in the Era of Smart” Ginni Rometty, Chairman, President and CEO, IBM Council on Foreign Relations, NYC March 7, 2013
“Competitive Advantage in the Era of Smart” Ginni Rometty, Chairman, President and CEO, IBM Council on Foreign Relations, NYC March 7, 2013
AnalyticsAnalytics
Big Data DataBig Data Data• inform decisions• optimize processes• drive new business
models.
• inform decisions• optimize processes• drive new business
models.
• explosion of data• new types of sources• moving at high speed
• explosion of data• new types of sources• moving at high speed
© 2011 BW @ IBM Corporation
Data at Scale Data in Many Forms Data in Motion Data Uncertainty
Big Data Is All Data
VolumeVolume VarietyVariety VelocityVelocity VeracityVeracity
© 2011 BW @ IBM Corporation
30%Reduction in heating bills
The Opportunities from Big Data &Analytics Are Infinite
15 min Response time
to requests
15 min Response time
to requests 150% Revenue
growth rate
150% Revenue
growth rate
95%
Accuracy of 18+ month sales forecasts
95%
Accuracy of 18+ month sales forecasts
80% Less time required to open an account
80% Less time required to open an account
98.5%On-time deliverytarget achieved
70%Counterparty
measurements changed
70%Counterparty
measurements changed
80% Reduction in
serious accidents
80% Reduction in
serious accidents
© 2011 BW @ IBM Corporation
Why Act Now?
Create IT AgilityManage RiskOutperform
Only 1 in 5 organizations allocate more than 50% of IT budget to new projects
Of leaders cite growth as the key source of value
from analytics
Source:1 - IBM IBV Study: Analytics: A blueprint for value, October 2013 2 - IBM Global Study on the Economic Impact of IT Risk, 20133 - IBM Global Data Center Study, 2012
Source:1 - IBM IBV Study: Analytics: A blueprint for value, October 2013 2 - IBM Global Study on the Economic Impact of IT Risk, 20133 - IBM Global Data Center Study, 2012
Of respondents were impacted by a cyber security breach
over the past 24 months
46%75% 1in5
© 2011 BW @ IBM Corporation
Three Key Imperatives for Big Data & Analytics Success
Invest in a Invest in a big data & big data & analytics analytics platformplatform
Be proactive Be proactive about privacy, about privacy, security and security and governancegovernance
Imagine It.Imagine It. Realize It.Realize It. Trust It.Trust It.
Build a culture Build a culture that infuses that infuses
analytics analytics everywhereeverywhere
© 2011 BW @ IBM Corporation
Watson Foundations
• IBM Decision Management• IBM Content Analytics• IBM Planning & Forecasting• IBM Discovery & Exploration• IBM BI & Predictive Analytics• IBM Content Management• IBM Hadoop System• IBM Stream Computing• IBM Data Management & Data Warehouse• IBM Information Integration & Governance
Leading the new era of big
data and analytics
© 2011 BW @ IBM Corporation
Systems Security
On premise, Cloud, As a serviceStorage
IBM Watson Foundations
IBM Big Data & Analytics Infrastructure
New/Enhanced Applications
All Data
Real-time analytics zone Enterprise
warehouse data mart and analytic appliances zone
Information governance zone
Exploration, landing and archive zone
Information ingestion and operational informationzone
What could happen?
Predictive analyticsand modeling
What action should I take?
Decisionmanagement
What is happening?Discovery and
exploration
Why did it happen?
Reporting, analysis,content analytics
CognitiveFabric
A New Foundation for leveraging all analytics and harnessing for dataA New Foundation for leveraging all analytics and harnessing for data
© 2011 BW @ IBM Corporation
The new era of IBM Big Data & Analytics with Watson Foundations
Unique – fuels journey to Cognitive
Innovative – easy to consume
Complete – enterprise-ready
Fast – start anywhere and grow
WATSON FOUNDATIONS
Sales Marketing Finance Operations HRRisk ITFraud
Industry Solutions
SOLUTIONS
CONSULTING AND IMPLEMENTATION SERVICES
BIG DATA & ANALYTICS INFRASTRUCTURE
DecisionManagement
Planning &Forecasting
Discovery &Exploration
Business Intelligence & Predictive Analytics
ContentAnalytics
Information Integration & Governance
Data Mgmt & Warehouse
HadoopSystem
StreamComputing
ContentManagement
WATSON FOUNDATIONS
Sales Marketing Finance Operations HRRisk ITFraud
Industry Solutions
SOLUTIONS
CONSULTING AND IMPLEMENTATION SERVICES
BIG DATA & ANALYTICS INFRASTRUCTURE
DecisionManagement
Planning &Forecasting
Discovery &Exploration
Business Intelligence & Predictive AnalyticsBusiness Intelligence & Predictive Analytics
ContentAnalytics
Information Integration & Governance
Data Mgmt & Warehouse
HadoopSystem
StreamComputing
ContentManagement
© 2011 BW @ IBM Corporation
Helps me discover fresh insights• Predictive and content analytics to
uncover patterns not yet known• Interactive exploration across all data
Operates in a timely fashion• Real-time analytics as data flows through an organization • Enterprise-class Hadoop that runs 4x faster • In-memory computing for speed of thought analytics
Establishes trust so I can act with confidence• Governance across complete data lifecycle including Hadoop• Security and privacy with compliance• Transparency and context to decision-making process
Watson Foundations uniquely…
WATSON FOUNDATIONS
DecisionManagement
Planning &Forecasting
Discovery &Exploration
Business Intelligence & Predictive AnalyticsBusiness Intelligence & Predictive Analytics
ContentAnalytics
Information Integration & Governance
Data Mgmt & Warehouse
HadoopSystem
StreamComputing
ContentManagement
© 2011 BW @ IBM Corporation
InfoSphere BigInsights: Provides Enterprise Grade Hadoop analytics
Manages a wide variety and huge volume of data
Augments open source Hadoop with enterprise capabilities
– Visualization & Exploration
– Development tools
– Advanced Engines
– Connectors
– Workload Optimization
– Enterprise integration
– Analytic Accelerators
– Application and industry accelerators
– Administration & Security
Accelerators
Information Integration & Governance
Data Warehouse
Stream Computing
Hadoop System
DiscoveryApplicationDevelopment
SystemsManagement
Data Data Media Media ContentContent Machine Machine SocialSocial
BIG DATA PLATFORM
© 2013 IBM Corporation
© 2011 BW @ IBM Corporation
Enterprise Performance &
Integration Analytics Usability
Key Differentiators for BigInsightsIt is much more just Hadoop!
• Workload / performance optimization
• GPFS
• Security
• Key integrations & Connectors with Enterprise Ecosystem
• Text analytics
• Social Data Analytics Accelerators
• Machine Data Analytics Accelerators
• Execute R in an integrated application
• Big SQL
• BigSheets
• Development Tools
• Web Console
© 2011 BW @ IBM Corporation
InfoSphere BigInsights
InfoSphere BigInsights
Administration & SecurityAdministration & Security
Workload Optimization (MapReduce/SQL)Workload Optimization (MapReduce/SQL)
ConnectorsConnectors
Development ToolsDevelopment Tools
IBM tested & supported open source componentsIBM tested & supported
open source components
AcceleratorsAccelerators
Open source based
components
Open source based
components
Workload Management
Security
Workload Management
Security
Development EnvironmentDevelopment Environment
Analytics/ExtractorsAnalytics/Extractors
AnalyticsAnalytics
Extraction engine (System T)Extraction engine (System T)
Visualization & ExplorationVisualization & Exploration
Extractors and APIs
Extractors and APIs
SQL APISQL API
© 2011 BW @ IBM Corporation
IBM InfoSphere BigInsights for HadoopIBM InfoSphere BigInsights for Hadoop
RuntimeRuntime
File SystemFile System
Data StoreData Store
Resource M
anagement &
A
dministration
Resource M
anagement &
A
dministration
Security
SecurityData
AccessData
Access
Advanced AnalyticsAdvanced Analytics
Visualization & Ad Hoc Analytics
Visualization & Ad Hoc Analytics
Applications & DevelopmentApplications & Development
Governance
Governance
MapReduceMapReduce
HBaseHBase
HDFSHDFS
IBMOpen Source
Text Analytics
Text AnalyticsRR Big RBig R
Kerberos
Kerberos
Audit &
History
Audit &
History
GPFS FPOGPFS FPO
Adaptive MapReduceAdaptive MapReduce
Console
Console
Monitoring
Monitoring
LDA
PLD
AP
Data S
ecurity for Hadoop
Data S
ecurity for Hadoop
Data P
rivacy for Hadoop
Data P
rivacy for Hadoop
Data M
atchingD
ata Matching
Data M
askingD
ata Masking
Stream ComputingStream ComputingS
earchS
earchStreamsStreams
EnterpriseS
earchE
nterpriseS
earchS
olr/LuceneS
olr/Lucene
JaqlJaql
PigPigHiveHive
ZooK
eeperZ
ooKeeper
Oozie
Oozie
Big SQLBig SQL
Flexible
SchedulerF
lexibleS
cheduler
ETLETL
BigSheetsBigSheets
DashboardDashboardChartingCharting
Eclipse Tooling:MapReduce, Hive, Jaql,
Pig, Big SQL, AQL
Eclipse Tooling:MapReduce, Hive, Jaql,
Pig, Big SQL, AQL
BigSheets Reader and Macro
BigSheets Reader and Macro
Text Analytics Extractors
Text Analytics Extractors
FlumeFlume
SqoopSqoop
HCatalogHCatalog
YA
RN
*Y
AR
N*
* In Beta* In Beta
InfoSphere BigInsights for Hadoop includes the latest Open Source components, enhanced by enterprise componentsInfoSphere BigInsights for Hadoop includes the latest Open Source components, enhanced by enterprise components
© 2011 BW @ IBM Corporation© 2013 IBM Corporation16
From Getting Starting to Enterprise Deployment:Different BigInsights Editions For Varying Needs
Standard Edition
Breadth of capabilities
En
terp
rise
cla
ss
Enterprise Edition
- Spreadsheet-style tool -- Web console -- Dashboards
- Pre-built applications-- Eclipse tooling-- RDBMS connectivity -- Big SQL -- Monitoring and alerts-- Platform enhancements-- . . .
- Accelerators-- GPFS – FPO-- Adaptive MapReduce
- Text analytics
- Enterprise Integration-- Big R -- InfoSphere Streams*-- Watson Explorer*-- Cognos BI*-- Data Click*-- . . .
-* Limited use license
ApacheHadoop
Quick Start Free. Non-production
Same features as Standard Edition plus text analytics and Big R
© 2011 BW @ IBM Corporation
PredictiveAnalytics
BI & Reporting
Visualization & Discovery
Operational Warehouse
Zone
Operational Warehouse
Zone
Analytics Warehouse
Zone
Analytics Warehouse
Zone
Hadoop Zone- Preprocessing, Queriable Archive, Ad Hoc Analysis
Hadoop Zone- Preprocessing, Queriable Archive, Ad Hoc Analysis
Information Integration
and Governance
Information Integration
and Governance
Integration
Master Data
Governance
Custom Applications
Structured Semi Structured Unstructured
Hadoop Analytics& VisualizationHadoop Analytics& Visualization
Real time Analytics ZoneReal time Analytics Zone
Enterprise Integration with Multiple Products Brings the Power of the Big Data Platform to BigInsights
InfoSphere Data Explorer BUNDLED: Indexing and “on the glass” integration
InfoSphere StreamsBUNDLED: Enables real-time, continuous analysis of data on the fly
InfoSphere Guardium Auditing
InfoSphere DataStageData collection and integration
Cognos BIBUNDLED: Support for Hive; BI capabilities
NetezzaQuery & join data using UDFs
DB2 and JDBCHi-speed parallel read-write for DB2, JDBC connectivity
R Execute R jobs directly from BigInsights web console
InfoSphere OptimData archivingData masking
© 2011 BW @ IBM Corporation
What’s New in BigInsights v3.0 – features and benefits
Rich SQL language support over HadoopComprehensive SQL language support that runs ALL 99 TPC-DS queries and ALL 22 TPC-H queries without modification
Rich SQL language support over HadoopComprehensive SQL language support that runs ALL 99 TPC-DS queries and ALL 22 TPC-H queries without modification
Industry-leading SQL processing performance over Hadoop DataExecute queries 20 times faster, on average, over Apache Hive 12 with performance improvements ranging up to 70 times faster with Big SQL
Industry-leading SQL processing performance over Hadoop DataExecute queries 20 times faster, on average, over Apache Hive 12 with performance improvements ranging up to 70 times faster with Big SQL
Federated queryQuery multiple sources at once by combining data from many data sources, including DB2 for Linux, UNIX and Windows database software, PDA, PDOA, Teradata and Oracle etc.
Federated queryQuery multiple sources at once by combining data from many data sources, including DB2 for Linux, UNIX and Windows database software, PDA, PDOA, Teradata and Oracle etc.
Enhanced BigSheets analysis and visualization tool Integration with SQL and Hive for consistency between tables and sheets; D3 (Data Driven Documents) charts for quick visualization of ad hoc analytics enabling business analysts and data scientists to get insight from big data without coding
Enhanced BigSheets analysis and visualization tool Integration with SQL and Hive for consistency between tables and sheets; D3 (Data Driven Documents) charts for quick visualization of ad hoc analytics enabling business analysts and data scientists to get insight from big data without coding
Secure and protect sensitive information in HadoopEnable Kerberos security in Hadoop to establish service to service authentication that increases security strength to prevent middle man attacks
Secure and protect sensitive information in HadoopEnable Kerberos security in Hadoop to establish service to service authentication that increases security strength to prevent middle man attacks
© 2011 BW @ IBM Corporation
Big SQL 3.0 – At a Glance
© 2011 BW @ IBM Corporation
Transforming Email Marketing Campaign Effectiveness with IBM Big Data
Transforming Email Marketing Campaign Effectiveness with IBM Big Data
Capabilities
• InfoSphere BigInsights, IBM PureData for Analytics – powered by Netezza technology, Cognos BI
Need
• Constant Contact needed to analyze 35 billion annual emails to guide customers on best dates and times to send emails for maximum response
Benefits
• 40 times improvement in analysis performance
• 15-25% performance increase in customer email campaigns
• Analysis time reduced from hours to seconds
© 2011 BW @ IBM Corporation
Teikoku Databank – Cuts time needed to process billions of textual data items from several days to 30 minutes
Analyzes 4.75-fold moredata, enhancing corporate credit offering to customers
“With IBM InfoSphere BigInsights, it has become possible to process billions of items of textual data in 30 minutes.”— Mr. Satoshi Kitajima, an MBA Statistician in the SPECIA Team
of the Business Analytics Division of the Market and Business Intelligence Department, Teikoku Databank
Accelerates processingtextual data, speeding delivery of information to clients
Differentiatesthe company, providing a significant competitive advantage
Banking, Financial Markets
The transformation: By effectively combining proprietary data with big data from the Internet, the company maximizes utilization of the available data sets to deliver more detailed information to customers.
Soluton components
Software• IBM® InfoSphere® BigInsights™
InfoSphere BigInsights
© 2011 BW @ IBM Corporation
Vestas optimizes capital investments based on 2.5 Petabytes of information.
Vestas optimizes capital investments based on 2.5 Petabytes of information.
• Model the weather to optimize placement of turbines, maximizing power generation and longevity.
• Reduce time required to identify placement of turbine from weeks to hours.
• Incorporate 2.5 PB of structured and semi-structured information flows.
• Data volume expected to grow to 6 PB.
Capabilities Utilized: InfoSphere BigInsights
InfoSphere Warehouse
© 2011 BW @ IBM Corporation23
Large European University generates own energy and uses analytics to monitor and manage consumption
Large European University generates own energy and uses analytics to monitor and manage consumption
Need
• After years of 8-digit electric bills, the university deployed an independent on-campus power generation system. But they lacked a solution to monitor, analyze, and manage production and consumption,
Benefits
• Anticipate lower energy consumption levels and costs
• Ability to identify energy inefficient areas of campus and take corrective action
• Improved understanding of how changes in power grid model affect energy efficiency
Capabilities Utilized: Cognos BI, SPSS
InfoSphere BigInsights
InfoSphere Warehouse
Tivoli Energy Management
© 2011 BW @ IBM Corporation
Performance enhancements & workload optimizations resulting in faster answers
Unique analytic engines that get more accurate results
Built-in development environment and administration consoles enable your resources skills to utilize Hadoop
Enterprise-class security to protect your big data
Pre-integrated to your existing enterprise IT systems ensuring that big data doesn't become a silo
Faster
For Enterprise Big Data, InfoSphere BigInsights is the Clear Choice
Smarter
Secure
Plugged-in
Easier
© 2013 IBM Corporation
© 2011 BW @ IBM Corporation25
InfoSphere Streams - Streaming Analytics for Big Data
• Built to analyze data in motion
– Multiple concurrent input streams
– Massive scalability
• Process and analyze a variety of data
– Structured, unstructured, video, audio
– Advanced analytic operators
• Enables Adaptive Real-Time Analytics– With Data Warehouses
– With Hadoop Systems
Accelerators
Information Integration & Governance
Data Warehouse
Stream Computing
Hadoop System
DiscoveryApplicationDevelopment
SystemsManagement
Data Data Media Media ContentContent Machine Machine SocialSocial
BIG DATA PLATFORM
© 2011 BW @ IBM Corporation26
Millions of events per
second
Microsecond Latency
Traditional / Non-traditional data sources
Real time delivery
PowerfulAnalytics
Algorithmic Trading
Telco ChurnPrediction
SmartGrid
CyberSecurity
Government /Law
enforcement
ICUMonitoring
EnvironmentMonitoring
VolumeTerabytes per second
Petabytes per day
VarietyAll kinds of data
All kinds of analytics
Velocity Insights in microseconds
InfoSphere Streams Delivers Analytics for Big Data In-Motion
Example Streaming Data Sources:
Video, audio, networks, social media
© 2011 BW @ IBM Corporation27
Massively scalable stream analytics
Linear Scalability• Clustered deployments –
unlimited scalability
Automated Deployment• Automatically optimize
operator deployment across nodes
Performance Optimization• Parallel & pipeline
operations• Efficient multi-threading
Analytics on Streaming Data• Analytic accelerators for a
variety of data types• Optimized for real-time
performance
Visualization
Streams Runtime
Deployments
Sink Adapters
AnalyticOperators
SourceAdapters
Automated and Optimized
DeploymentStreaming Data
Sources
Streams Studio IDE
© 2011 BW @ IBM Corporation28
ModifyModifyFilter / SampleFilter / Sample
ClassifyClassify
FuseFuse
AnnotateAnnotate
Big Data in Real Time with InfoSphere Streams
ScoreScore
Windowed AggregatesWindowed Aggregates
AnalyzeAnalyze
© 2011 BW @ IBM Corporation29
IBM InfoSphere Streams
29
Comprehensive Development Tools
Scale-out Architecture Sophisticated Analytics with Toolkits & Accelerators
• Clustered runtime for near-limitless capacity
• Large scale deployment • RHEL v5.3 and above• CentOS v6.0 and above• X86 & Power multicore HW• SUSE Linux Enterprise
Server 11.2 and above• InfiniBand support• Ethernet support
• Eclipse IDE• Web console• Drag & drop editor• Instance graph• Streams visualization• Streams debugger• Java improvements• Mapped operators
• CEP, Database, Data Explorer, DataStage, Finance, SPSS, R Geospatial, Internet, Mining, Messaging with JMS adapter, Standard, Text, Time Series Toolkits
• Telco & Social Data Accelerators
Front Office 3.0Front Office 3.0
Items in blue are new in V3.1Items in blue are new in V3.1
© 2011 BW @ IBM Corporation30 © 2013 IBM Corporation30
What’s new in v3.1 Analytics! Performance! Integration!
R analytics• Data analysis with statistical, mining and modeling capabilities• Extends family of analytics options with Streams• Opens new market & fosters BigInsights/Netezza Synergy
New Time Series Toolkit operators• Incremental interpolation: replace missing values• Distribution: compute quartiles, median
Improved Performance • Java enhancements yield faster throughput and reduced
resources for fused Java operators• For operations with lists and maps, 2 to 10x improvements
Eliminate barriers to integration and adoption with new support for:
• SUSE Linux Enterprise Server v11.2• JMS (Java Messaging Services)• Teradata & Asterdata
© 2011 BW @ IBM Corporation31
Streams Analyzes All Variety of Data
Mining in Microseconds(included with Streams)Mining in Microseconds(included with Streams)
Image & Video (Open Source)
Simple & Advanced Text (included with Streams)Simple & Advanced Text (included with Streams)
Text(listen, verb),
(radio, noun)
Acoustic(IBM Research)(Open Source)
Acoustic(IBM Research)(Open Source)
Geospatial(Included with Streams)
Geospatial(Included with Streams)
Predictive(Included with Streams)
Predictive(Included with Streams)
Advanced Mathematical Models(Included with Streams)
Advanced Mathematical Models(Included with Streams)
Statistics(included with Streams)
Statistics(included with Streams)
population
tt asR ),(
***New******New***
***New******New***
***New******New***
Blue = included with the product
Red = built for Streams and used in projects but not yet part of the product
Blue = included with the product
Red = built for Streams and used in projects but not yet part of the product
© 2011 BW @ IBM Corporation32
Dublin City Centre Increases Bus Transportation
Performance
Dublin City Centre Increases Bus Transportation
Performance
• Public transportation awareness solution improves on-time performance and provides real-time bus arrival info to riders
• Continuously analyzes bus location data to infer traffic conditions and predict arrivals
• Collects, processes, and visualizes location data of all bus vehicles
• Automatically generates transportation routes and stop locations
Results:• Monitoring 600 buses across 150 routes
• Analyzing 50 bus locations per second
• Anticipated to Increase bus ridership
Capabilities Utilized:
Stream Computing
© 2011 BW @ IBM Corporation33
University of Ontario Institute of Technology
(UOIT) Detects Neonatal Patient Symptoms Sooner
University of Ontario Institute of Technology
(UOIT) Detects Neonatal Patient Symptoms Sooner
• Performing real-time analytics using physiological data from neonatal babies
• Continuously correlates data from medical monitors to detect subtle changes and alert hospital staff sooner
• Early warning gives caregivers the ability to proactively deal with complications
Significant benefits:
• Helps detect life threatening conditions up to 24 hours sooner
• Lower morbidity and improved patient care
Capabilities Utilized:
Stream Computing
“Helps detect life threatening conditions up to 24 hours sooner”
© 2011 BW @ IBM Corporation34
Asian Telco reduces billing costs and improves customer satisfaction
Asian Telco reduces billing costs and improves customer satisfaction
Capabilities:
Stream ComputingAnalytic Accelerators
Real-time mediation and analysis of
5B CDRs per day
Data processing time reduced from 12 hrs to 1 min
Hardware cost reduced to 1/8th
Proactively address issues (e.g. dropped calls) impacting customer satisfaction.
© 2011 BW @ IBM Corporation35
IBM Accelerator for Telco Event Data Analytics • Telcos• Campaign management, real-time promotion, fraud detection, service
assurance and network monitoring, • Ships with Streams v3, but works with BigInsights or PureSparta for
Analytics (a.k.a. Netezza)
IBM Accelerator for Telco Event Data Analytics • Telcos• Campaign management, real-time promotion, fraud detection, service
assurance and network monitoring, • Ships with Streams v3, but works with BigInsights or PureSparta for
Analytics (a.k.a. Netezza)
IBM Accelerator for Social Data Analytics
• B2C businesses
• Sample applications: Customer acquisition / retention, Customer Segmentation or Micro Segmentation, Marketing Campaign Optimization, Lead generation, Brand Management or Surveillance
• Ships with BigInsights v2 and Streams v3
IBM Accelerator for Social Data Analytics
• B2C businesses
• Sample applications: Customer acquisition / retention, Customer Segmentation or Micro Segmentation, Marketing Campaign Optimization, Lead generation, Brand Management or Surveillance
• Ships with BigInsights v2 and Streams v3
IBM Accelerator for Machine Data Analytics• Cross-industry: manufacturing, oil & gas, energy and utility, healthcare,
travel and transportation, CPG, Retail, etc.• Operational efficiency monitoring, security incident investigation.
proactive maintenance, troubleshooting, outage prevention, efficiency tracking, etc
• Ships with BigInsights v2
IBM Accelerator for Machine Data Analytics• Cross-industry: manufacturing, oil & gas, energy and utility, healthcare,
travel and transportation, CPG, Retail, etc.• Operational efficiency monitoring, security incident investigation.
proactive maintenance, troubleshooting, outage prevention, efficiency tracking, etc
• Ships with BigInsights v2
3 Accelerators BigInsights and Streams are Faster to Deploy
© 2011 BW @ IBM Corporation36
Without a Big Data PlatformYou Code… IBM Big Data Platform
Multithreading
Custom SQLand
Scripts
PerformanceOptimization
Debug
ApplicationManagement
EventHandling
Connectors
CheckPointing
Security
HAAccelerators
and
Toolkits
© 2011 BW @ IBM Corporation37
Putting it All Together …End-to-End Big Data Solution
PureData System
InfoSphere BigInsights IBM Cognos
IBM SPSS
Streaming Data Sources
Discover
ModelVisualize & Publish
Score
Measure
InfoSphere Streams
InfoSphere Warehouse
InfoSphere Data Explorer
© 2011 BW @ IBM Corporation
Go Further and Faster with IBM
Resources
Accelerated Discovery LabAccelerated Discovery Lab EcosystemEcosystem
Analytics Solution Centers Analytics Solution Centers
Expertise Expertise
99KKConsultants
3030KKEngagements
2,5002,500
Academic InitiativeAcademic Initiative
1,001,0000Partnerships
Business Partners
© 2011 BW @ IBM Corporation39
Value Proposition for ISVs
• Obtain a solid enterprise ready platform to integrate with their applications or solutions
• Enhance and expand their solutions by leveraging IBM Big Data Platform and thus open up new business and revenue opportunities
• Joint go-to-market Opportunities Have access to IBM accounts they wouldn’t normally have
• Make profit by via ASL or OEM agreement• Take advantage of capabilities of Streams and BigInsights for scalability,
security, analytics, and integration with the rest of the information agenda infrastructure
• Leverage IBM’s partner ecosystem of ISV and System Integration partners to quickly expand business globally
© 2011 BW @ IBM Corporation40
Big Data Micro Site – Partner Profiles
Main Microsite Link– www.ibm.com/software/data/bigdata
Microsite Click Through To BP Detailed Page– http://www.ibm.com/software/data/bigdata/business-partners-profiles.html
© 2011 BW @ IBM Corporation41
IBM Big Data Partner Program Enrollment Process
1) Become a member of PartnerWorld, if you are not already– https://www-304.ibm.com/partnerworld/wps/servlet/ContentHandler/pw_com_jnw_joinallBPs
2) Send a “letter of intent” via email to Niu Bai [email protected], stating that you intend to integrate your solution with Streams and/or BigInsights.
3) Download Streams and/or BigInsights Quick Start Editions– http://www-01.ibm.com/software/data/infosphere/biginsights/quick-start/– http://www-01.ibm.com/software/data/infosphere/streams/quick-start/
4) Please fill out the partner information template and send them back to [email protected] once completed Then get exposure on dedicated IBM Big Data Partner Website, connected to IBM
Big Data Sales and Ecosystem Development Teams, and joint marketing etc.
5) Attend the free Big Data bootcampshttps://www.ibm.com/developerworks/community/wikis/home?lang=en#!/wiki/
Information+Management/page/Big+Data+Fundamentals+Bootcamp
6) Integrate your software solution with Streams and/or BigInsights and/or develop a offering around Streams/BigInsights–
© 2011 BW @ IBM Corporation42
Key Web Site Links IBM big data Microsite
– http://www-01.ibm.com/software/data/bigdata/
IBM big data Linkedin Group– http://www.linkedin.com/groups/IBM-big-data-4014567?trk=myg_ugrp_ovr
IBM big data channel on YouTube– http://www.youtube.com/user/ibmbigdata
Training/Education Link– http://www-03.ibm.com/certify/partner/pub/zz/mem_skillsreq.shtml
Big Data University– http://bigdatauniversity.com/
Big Data Hub– http://www.ibmbigdatahub.com/
Key Blogs– Bruce Weed’s Blog on big data
• http://bruceweed.wordpress.com/
– IBM Smarter Computing Blog• http://www.smartercomputingblog.com/category/big-data/
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