What did your data do last night? - ciosummits.com · IBM Data Replication IBM Optim ... Structured & unstructured data ... data prep & shaping Transform and deliver data* Self-service

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What did your data do last night?

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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?

2IBM Cloud / DOC ID / Month XX, 2017 / © 2017 IBM Corporation

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

Every enterprise will need to develop a data strategy to

become a cognitive business.

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


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


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


– 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


– 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


“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


“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


“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


“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


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?

Appendix


Make your data usable for all consumers of data


Collect


Hybrid datamanagement



– 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

20IBM Cloud / © 2018 IBM Corporation 20

Make data simple and accessible

Hybrid data management

Build a trustedanalytics foundation


Scale insightson demand


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


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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