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What did your data do last night?
—
Scott BucklesBusiness Unit Executive Business Analytics and Unified Governance Solutions IBM Cloud / © 2018 IBM Corporation
Lots of data gets generated. What has your data been up to?
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91%2.5QUINTILLION
bytes of data are created, shared and stored every day.1
80% $3.5MILLION
Average cost of a single data breach, up 23% in the last two years.4
If not, it could be costing you time, resources and opportunities.
of every big data and analytics project is spent finding, cleansing, understanding, and integrating data.2
of organizations are not using their data effectively.3
4 Gartner, “Gartner CDO Survey Reveals That Chief Data Officers Drive Both Data Management and Analytics for Maximum Impact,”
November 15, 2016, G003179955 Gartner, “Ten Ways CDOs Fail and How to Avoid the Traps”, 20166 Gartner, “Successful Organizational Design Principles for the Office of the Chief Data Officer ,” March 27, 2017, G00291254
Creating Business Value Through Data: The Chief Data Officer
Basic responsibilities
▪ Focus on enterprise-wide information,
analysis, and data processing
▪ Determines what data to capture, retain,
and use
Advanced opportunities
▪ Through 2019, only 50% of CDOs will be
hailed a success, due to a lack of focus on
business-relevant outcome improvement.6
▪ By 2020, 80% of CDOs will have a wide
range of digital business, data management,
and analytics responsibilities.4
▪ Through 2021, 80% of successful CDOs will
have value creation or revenue
generation as their #1 priority.5
▪ They need to align and coordinate a wide
variety of data management and analytics
initiatives across the organization.4
Data Driven Insight Driven Digital Transformation
▪ Culture Change▪ Breaking Silos▪ Discover “What”▪ Understand “Why”
▪ Self Service▪ Reports▪ Business Intelligence
▪ Prediction▪ Optimization▪ Automation▪ Collaboration
▪ Models▪ Visualization▪ Applications
Outcomes
Capabilities
Drivers
Value from Data
▪ New Business Models▪ Disruptive Technology▪ Real-Time Decisions
▪ Instrumentation▪ Orchestration▪ Integration
CompetitiveCost Reduction
ModernizationMarket Leader
As data becomes more accessible, it provides more value
You need trusted data to gain insights and address today’s business challenges
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Above-surface opportunities
Below-surface challenges
Make money Reduce riskSave money
Unable to scale insights and prediction
Too much data or too little/nothing/don’t use much of our data
Don’t have the ability to pull in new types of data
High cost of data ownership
Data lake is a data swamp
Data preparation is time consuming and not repeatable
Too many technology and data silos
Data from within and outside corporate firewall
Trust and quality issues with existing data
Keeping up with growing number of regulations
Protect personal data
IBM Cloud / © 2018 IBM Corporation
Leaders are building a trusted foundation for analytics
7IBM Cloud / © 2018 IBM Corporation
Core benefits
– Mitigated risk and increased agility
– Empowered analysts with never-before-seen data, so they could drive new insights
– Accelerated time to value
How they won
– Implemented an information architecture that acceleratestheir journey to AI
– Did not compromise: say “and,” not “or”
– Governed their data lakes
– Enabled self-service analytics
Use your data
Build a 360-degree view of your business. Activate and unleash insights from data.
Leaders accelerate their journey to AIto drive innovation and business success
8IBM Cloud / DOC ID / Month XX, 2017 / © 2017 IBM Corporation
AI
Data science
Machine
learning
Business analytics
Trusted analytics foundation
Use your data
Build a single source of truth to drive a 360-degree
view of your data. Unleash insights and deepen
customer relationships.9IBM Cloud / © 2018 IBM Corporation
Trust your data
Capture lineage, help ensure quality of dynamic
data and stay on top of regulations.
Know your data
Discover, find, integrate, classify and catalog all
types of data.
Modular and scalable trusted analytics foundation with IBM Unified Governance & Integration platform
10IBM Cloud / © 2018 IBM Corporation
– Open and extensible platform
– Advanced machine learning
– Brings structured and unstructured together
– Scalability and parallel processing
– Smarter metadata drives embedded governance
– Pre-built industry data models
– Unified platform with adaptive deployment and licensing
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IBM Data Replication IBM Optim
IBM Master Data ManagementIBM Information Server IBM Industry Models
Information lifecycle
Master data & entity insights
Governance, compliance &
data protection
Integration & replication
Enterprise Information Catalog
Structured & unstructured data
AI & machine learning capabilities
Public cloud
On-premises
Private cloud
Know your data. Trust your data. Use your data.
Trusted Analytics Foundation
IBM Lifecycle GovernanceKey
O
ffer
ings
Build once. Address many needs. Accelerate innovation.
ArchivingRecords andretention
Audit readinessSelf-service access to data and analytics
Discovery360-degree information driven insights
Regulations (such as GDPR)
Privacy and protection
EDW optimization
Trusted Analytics Foundation
– Accelerate:100,000 DataStage jobs running in production daily
– Implement multiple Hadoop clusters totaling thousands of nodes and tens of petabytes of data
– Mitigate the cost and complexities of hand-coding data integration for Hadoop
Reduce storage costs and data preparation resources
12IBM Cloud / © 2018 IBM Corporation
“When we started we had a tremendous amount of data in Teradata warehouses. After our EDW offloading project, we now have automatic governance and trust at a fraction of the cost.”
—Major U.S. retailer
Image Area
Image Area
– Empowers government agencies with the data they need to make optimal policy decisions
– Engages citizens by enabling faster responses and increasing transparency
– Proves the value of a central big data platform as a hub for smarter government services
Improve the trust and quality of data
13IBM Cloud / © 2018 IBM Corporation
“Analytics helps us show our citizens that their feedback really makes a difference. By showing the people of Jakarta that we are listening, we can keep them engaged in helping us build a city that is better for everyone.”
—Diory Paulus, Head of Data & Analytics, Jakarta Smart City
– Helps ensure data privacy and facilitate compliance with regulations such as GDPR
– Cuts storage costs by significantly reducing the size of test datasets
– Saves time and effort: Faster creation of test datasets helps to accelerate development cycles
Turn compliance needs into transformation opportunities
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“The IBM solution empowers us to keep our clients’ personal data safe, protecting the company’s reputation and preserving our customers’ trust.”
—Ed de Cock, Test Coordinator, CZ
– Ensures that vital benefits go to citizens who are truly in need
– Scales: 500,000 wrongful claimants identified and removed from the system
– Saves time and effort by helping the government make the best use of its resources
Make your data usable for all consumers of data
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“We are ensuring that deserving citizens get the help they need, while keeping tighter control over costs and making better use of taxpayer money.”
—Government of Odisha, India
Data scienceMachine learning
Business analytics
The power of three platforms in one information architecture
AI
You’ve seen the benefits of a trusted foundation. Now use it to accelerate your digital transformation.
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Hybrid data management
Unified governance & integration
Data science &business analytics
Trusted analytics foundation
17IBM Cloud / © 2018 IBM Corporation
Read about achieving a unified governance and integration platform.
Visit ibm.com/unified-governance-integration
You are already in the business of data.
Are you ready to takethe next step?
Make your data usable for all consumers of data
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Collect
19IBM Cloud / DOC ID / Month XX, 2017 / © 2017 IBM Corporation
Hybrid datamanagement
Unified governance & integration
Data science &business analytics
– Collect all types of data, structured and unstructured
– Includes all open sources of data
– Leverages a single platform with a common application layer
– Write once and deploy anywhere
– Satisfy all matters of finding, cataloging and masking data
– Integrates fluid datasets
– Delivers built-in compliance
– Leverages advanced machine learning capabilities
– Delivers descriptive, prescriptive and predictive insights across all types of data
– Empowers all of your teams and their unique use cases
– Enables advanced analytics and data science methods
• Db2 and Db2 Warehouse
• Db2 Event Store
• Integrated Analytics
System
• Big SQL and
Hortonworks Hadoop
• Information Server
• Data Replication
• Master Data
Management
• Industry Models and
Stored IQ
User and application independence across on-premises, private cloud and public cloud
Key IBM
offerings
Key IBM
offerings
Key IBM
offerings
• SPSS and DSX
• Cognos and Watson
Analytics
• Watson Explorer
• Planning Analytics
COLLECT ORGANIZE ANALYZE
IBM platforms deliver the modern enterprise analytics foundation
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Make data simple and accessible
Hybrid data management
Build a trustedanalytics foundation
Unified governance & integration
Scale insightson demand
Data science &business analytics
Accelerate value on the path to AI
Built on the IBM Cloud AI-readyDesigned for data
Secure to the core
Data sources
Shared services
IBM Unified Governance & Integration platform
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* Work underway to create capabilities for new platform
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Governance services
Master data management services
Data integration & data movement services
Metadata management, Industry Models
Data scientists
Data qualityanalyst
Business users
Dataengineers
CDOData stewards/ curators
Self-service data prep &
shaping
Transform and deliver
data*
Self-service entity
management*
Data archival & disposal
Policy management
Consentmanagement*
Quality management*
Entity resolution &relationship
Reference data
management
Collaboration* WorkflowShopping for
data in context*
Discovery,profile,
classification*
Data de-identification
Policy enforcement & data protection
Test data management
Monitoring
Common APIs, connectors, event management, administration, security and elastic runtime
Batch, real-time and near-real-time execution engines
Cloud Social media
SandboxesDatalakes
DocumentsHadoopSystems of record
Systems of engagement
News MDM Other external
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Expand or switch offerings according to analytics needs
No vendor (re-)qualification needed for new analytics tools
Life-time value of purchase
No need to pre-plan usage
Easily scale usage across teams and capabilities with FlexPoints
IBM Cloud / © 2018 IBM Corporation
A flexible, consumption-based licensing model
Build once. Address many needs. Accelerate innovation.
Archiving
Optim, Atlas GRPSM, IGC,
Content Collector, Content
Classification, FileNet
Records and retention
Atlas GRPSM, IBM Enterprise
Records
Audit readiness
IGC, Atlas GRPSM, StoredIQ, Optim,
StoredIQ for Legal, Information
Analyzer, MDM, Industry Models
Self-service access to data and analytics
IGC, Information Analyzer, Data Integration,
StoredIQ, Optim, Industry Models, MDM
Discovery
StoredIQ for Legal, eDiscovery Manager/Analyzer, StoredIQ
360-degree Information-driven insights
IGC, Information Analyzer, Data
Integration, StoredIQ, Optim, Industry
Models, MDM
Regulations
IGC, Atlas GRPSM, StoredIQ, Optim,
StoredIQ for Legal, Information
Analyzer, MDM, Industry Models
Privacy and protection
Optim, Information Analyzer, IGC, Stored IQ, Content Collector
EDW optimization
DataStage, BigIntegrate, BigQuality,
QualityStage, Information Analyzer,
IGC, Data Replication
Trusted Analytics Foundation
Mobile Cloud Social IoT
NOW CHANGE THE WAY YOU MANAGE IT, SO YOU CAN USE IT.
EVERY DIMENSION OF DATA HAS CHANGED.
IA Analytics Machine learning AI
Cognitive systems have four main attributes
They are able to learn their behavior through EDUCATION
They support forms of EXPRESSION more natural for human interaction
Their primary value is their EXPERTISE
And their reasoning approach continues to EVOLVE as they experience new information, new scenarios, and new responses
1
2
3
4
And they do so at ENORMOUSscale.
✓ Intuitive conversational interface
✓ Holistic view of customer, both internal and external
✓ Self-service capabilities to inform, enable decision-makers
✓ Directly usable by subject matter experts to derive insights
✓ All enabled through cognitive interaction
Data-as-a-ServiceCognition-based Q&A,
enable business users All components for
a CDO to render
their enterprise
cognitive:
Organizational
considerations,
technology, data, and
business processes
✓ Reduced time and effort
✓ Proactive monitoring and alerts
✓ Continuous learning from data and user feedback
✓ Build and improve repeatable/productized service offerings
✓ All enabled through cognitive interaction
User experience
journey
CDO experience
journey
Transformation From a siloed, largely relational, technical and cultural environment to a cloud-based, cognitive environment, capable of deriving and acting rapidly on cognitive insights from massive structured and unstructured, internal and external data.
Outcomes:
• Elimination of siloed data – view of data across the enterprise
• Reduced support costs and improved consistency and quality of data,
access control and ability to monitor/report usage
• Faster access times
• Standardized KPIs
• Improved service levels and uptime for business systems
• Increased adoption of cognitive methods
• Reduce set up time and cost of cognitive projects
CDO Cognitive Journey Map
Trust-as-a-ServicePrivacy by design, in
addition to enabling
regulatory compliance
Risk InsightsAnticipate and act on supply
chain risk, deliver risk mitigation
insights
Cognitive Procurement Trusted buying advisor, deep
supplier insight, dynamic pricing
info
Automate Warehouse
Migration Automatic learning
and generation of ingestion and
integration rules
Cognitive Enterprise Blueprint
Cognitive Enterprise Processes
Cognition-as-a-
ServiceWatson Services and
APIs
Client 360
Increase seller productivity and
increase revenue generation through
Cognitive sales recommendation
Digital Business Insights
Expert assistance with individual
selection for marketing and sales
Data Acquisition: Content Buyer
Cognitive content reviewer on
overlap, scope, ”best” provider(s)
Data Curation: Cognitive Metadata
Cognitive data catalog management,
automatic creation/ linkage of
business to technical termsProactive Client Management
Early warning of delivery risk, and
proactive opportunities for contract
growth
Master Data ProcessesInformation GovernanceTechnology Development
Data Integration: Entity
Recognition
Single engine to assign common
identifying code to entities.
The CognitiveEnterprise
Technology
Organizationalconsiderations
Businessprocesses
Data
Organizational Considerations• Data strategy catalysts • Transform and reinvest • Recruit, retrain, and retain talent • Business Unit leadership• Engage top technical talent: Data
Scientists, Data Engineers, Dev Ops, Deep Learning specialists
• Governance and monetization expertise
• Policy and risk • Essential communities• Addressing culture change
Business Processes• CDO Processes: Technology development,
information governance, client and product master data processes
• Cognitive Enterprise: Supply Chain, Procurement, Finance, Marketing
Technology • Cognition / AI Services with
ability to contextualize across all data
• Cloud services - open by design; GPUs, fast interconnect to accelerate AI training
• Hybrid integration and deployment choice
• Enterprise cloud container support
Data• Cognitive applications trained using
industry specific data, leading industry expertise
• Data-as-a-service, high scale ingestion, accessing data for analysis and manipulation
• Trust-as-a-service: your data, your insights
• Self-service & out of the box tools
Cognitive Enterprise Blueprint
Use Cases: • Data Responsibility• Data Strategy • Cognitive Enterprise Data Architecture • GDPR• Metadata Generation
Presentation Title: What did your data do last night?
Abstract: It’s almost paradoxical that enterprises possessing incredible stores of unique data are often not prepared to take advantage of those valuable assets – resulting in negative or reduced ROI from the data, incorrect or biased decision making, risk of potential compliance or security violations, and lost opportunities to gain competitive advantage. Join us to learn the best approach to data that services the needs of the entire enterprise, enabling a truly data-driven culture that will ensure you can know your data, trust your data, and use your data effectively.
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