PART III: Cognitive Enterprise Systems. Providing situational awareness through a common operating picture

1. Title page
Chief Data Officer
Kevin Du Priest
Chief Data Officer
21OCT2017
providing situational awareness through a common operating picture
PART III: COGNITIVE ENTERPRISE
Garbage In, Garbage Out

2. Chief Data Officer
PART III: COGNITIVE ENTERPRISE SYSTEM
The Chief Data Officer establishes policy and governance over all enterprise-wide data, setting long-term strategy, and
oversees all aspects of data enablement and consumption for the organization. This includes automation of data
acquisition; data modeling and design; data warehousing; data movement and integration; data enrichment and
standardization; and directs business intelligence and advanced analytics for data visualization.
Master Data Management

3. Data Strategy Plan – i.e. how the organization is planning to save money = Monetization Strategy
DEVELOP DEEP PARTNERSHIPS
• Build deep data and analytic partnerships with business units.
• Memo of Agreements to build trusted relationships.
• Establish Data Steward role and responsibility.
• Build and scale a highly skilled talented workforce.
• Reposition the role of Data Analyst within the organization.
DEFINE DATA STRATEGY ROADMAP
1. Orchestrate a clear data strategy.
• Establish a data strategy based on the organizations strategic plans.
• What data is available; structured, unstructured data, internal and external.
2. Execute enterprise-wide governance and management policies.
• Enterprise Governance Framework, provides enterprise views of data.
• Standardize all critical data and key performance index.
• Standardizing all terms and processes of data governance.
3. Ingest Enterprise Data Sources
• What data is relevant and should be centralized.
• Institute governance processes for hub and spoke business units.
Chief Data Officer
PART III: COGNITIVE ENTERPRISE SYSTEM Data Strategy Roadmap

4. Business understanding
Analytic approach
Data requirements
Data collection
Data understanding
Data modeling Data preparation
Feedback
Deployment
Evaluation
The CDO’s sole focus is data—how to
manage data as an asset and convert it
into tangible business value.
They improve the organizations data
collection, processing, and dissemination
efforts to prioritize how information is
used.
Chief Data Officer
PART III: COGNITIVE ENTERPRISE SYSTEM Maximizing Data Value

5. Transforming from a programmatic approach to a probabilistic approach an
Enterprise Cognitive System (ECS) must be; Adaptive, Interactive, Iterative,
and Contextual. A cloud-based cognitive environment, capable of automate
responsive insight from massive data stores in real-time.
The ECS has to be an Expert in its field of reasoning, it has to Express itself visually verbally, it must be
Educated and trained, not programmed, and it must Evolve as new information, new scenarios, with new
responses. The ECS will be populated through collaboration of subject matter experts providing
organizational memory.
Cognitive ProcessesMaster Data ProcessesData GovernanceTechnology Development
Data-as-a-Service
Trust-as-a-Service
ECS-as-a-Service
Data Acquisition
Data Catalog
Data Integration
Expert Learning
Business Insights
Proactive Growth
Auto Learning
Risk Insights
Cognitive Procurement
Chief Data Officer
Enterprise Cognitive
System (ECS)
Blueprint
RAW DATA INSIGHTS
GOVERN COMPUTE INTERACT
ENTERPRISE APPS
Automation Engine
Learning Engine
Analytics Engine
Processing Engine
Visualization EngineIntegration Processes
Chief Data Officer
PART III: COGNITIVE ENTERPRISE SYSTEM Transforming to a Cognitive System
Cognitive Enterprise System Blueprint

6. Data-driven enablement of organization business and decision support for massive structured and
unstructured, internal and external datasets. Consolidates critical enterprise data and make it
available as-a-service, and hosted in the cloud.
Intuitive interactive conversational interface
Holistic view of customer, both internal and external
Self-service capabilities to inform and enable decision-makers
Directly usable by subject matter experts to derive insight
All enabled through cognitive interaction
Reduces time and effort, real-time live interface.
Proactive monitoring and alert notifications
Continuous learning from data and user feedback
Elimination of siloed data, provides view of enterprise data
Reduced support and improved consistency and data quality
Standardized Key Performance Indexes
Increase adoption of cognitive methods
Eliminates legacy systems, migrates and refines data quality
Chief Data Officer
PART III: COGNITIVE ENTERPRISE SYSTEM ECS Decision Support System

7. Technology
• Cognitive application trained by
industry specific data and expertise
• Cognition / AI services with ability to
contextualize across all data.
• Trust-as-a-service: data and insights
• Enterprise Cloud container services,
fast interconnect to accelerate AI.
• Hybrid integration and deployment
• Interactive Personal Communication
Business
Processes
Technology
Organizational
Consideration
Organizational Consideration
• Data strategy catalyst for change/improvement
• Transform and reinvest
• Recruit, retrain, and retain talent
• Engage top technical talent:
• Data Scientist, Data Engineers,
• Dev Ops, Deep-dive Learning specialists
Business Process
• Chief Data Officer Processes
• Technology development
• Information governance
• Build Strong Partnerships
• Cognitive Enterprise Model:
• Supply chain, Procurement, Finances,
HR, Operations, etc.
new workflow, new processes
restructuring, reorganization
Chief Data Officer
PART III: COGNITIVE ENTERPRISE SYSTEM a Cognitive Enterprise Organization

8. Title page
Kevin Du Priest
Chief Data Officer
21OCT2017
PART I: CHIEF DATA OFFICER
PART II: DATA GOVERNENCE
PART III: COGNITIVE ENTERPRISE
PART IV: ORGANIZATIONAL CHANGE
PART V: CREATING DATA VALUE
PART VI: ENTERPRISE MODELS
Garbage In, Garbage Out
Chief Data Officer
PART III: COGNITIVE ENTERPRISE SYSTEM Questions?
Chief Data Officer
providing situational awareness through a common operating picture