CDO Data Foundations HL
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Information sourced from "ESDC Chief Data Office (CDO) Data Foundations Business Case" [v0.4 - DRAFT]
Benefits Delivery Modernization (BDM)
Digital Experience & Client Data (DECD)
Technology Platform
Identity Management & Integrity
Benefits Application Delivery (BAD) (Business Role)
Service Delivery Hub
Office of the Chief Data Officer (OCDO)
Chief Data Officer (CDO)
Data Architecture
Data & Analytics Services
Data Architecture
Data Architecture
Enterprise Architecture Practitioners
Enterprise Architect
Business Architect
Information Architect
Application Architect
Technology Architect
Security Architect
Data Foundations Programme
Data Science & Machine Learning (DS&ML)
Enterprise Data Lake
Enterprise Data Warehouse
Benefits Knowledge Hub (BKH)
Enterprise Data Catalog
Reference Data Management
Enterprise Canonical Model
National Address Register
Master Data Management
BDM Analytics & BI
BDM Workforce Management
LMIA
ESDC Cloud Reference Architecture
BDM Enterprise Architecture Team
Cloud Architecture Practitioners
Cloud Center of Excellence
Cloud Operations
Cloud Archiect
Data Hub
Stabilized Data and Analytics Capacity in CDO
Increased Response Capacity To Data Foundations Gaps
Ability To Trust And Use Data
Program Performance Reporting Is Limited & Siloed
Visualizations Are Dated & Fail To Leverage Modern Options
Ad-Hoc Forecasting Is Done Rather Than Continuously
Disparately Sourced Data Does Not Always Agree, Unlear Terminology Causes Doubt As To Meaning
Executives Are Unsure Of What To Trust
Crises Response Delayed In Getting Data Access
Data Managers Cannot Quickly Ascertain Data Access (WHO-WHAT-WHY)
Data Foundations Key Stakeholder 1
Data Foundations Key Stakeholder 2
Growing Need to Obtain & Integrate Data From Beyond ESDC
Provinces & Territories, Municipalities & 3rd Party Org's
Data To Understand Issues Is Scattered Across Stakeholders
Improve ESDC’s Use of Data to Deliver on Priorities & Outcomes
Provide Trusted, Horizontally Integrated Data
Improve Management of Data To Ensure It Is Accessible & Organized To Support Analysis
Improve Use Of Modern Techniques To Extract Full Value Of Data
Better Enable People Performing Critical Data Functions
Focus Governance First On High-Value Data Across The Enterprise
Focus Data Literacy Improvements On Key Staff Who Can Deliver Great Benefits
Focus On Yielding Limited, Targeted, Consequential Results Over Those Without Long-Term Value
Manage Privacy Effectively
Deliver Greater Privacy & Transparency In WHO Accesses WHAT Data, WHY, and Using Which Tools
Deliver Faster, Simpler, More Reliable and Less Costly Ethical, Authorized Access
ESDC Needs To Mature Its Data Foundations To Support Accelerated Research, Policy and Decision-Making Cycles
ESDC Needs To Mature Its Data Foundations To Address Significant Changes to Benefits Delivery Modernization
ESDC Needs To Mature Its Data Foundations To Ensure Services To Those Most Vulnerable
Gartner's Data Governance Discussion Paper For ESDC (2014)
ESDC Chief Data Officer (CDO) Directives
Develop and Implement A Data Vision and Strategy
Champion Greater Horizontality of ESDC's Data Flow
Champion the Establishment of Data Governance and Data Policies to Improve Data Management
Improve Partner Access to ESDC Data and Drive Innovation Via Uptake and Use
Promote Awareness and Education Across ESDC On Data Management Best Practices and Processes, and Ensure Knowledge Transfer To Executives and to CDO Staff
Lessons Learned In Response To COVID-19
Need For Consistency With Department of Employment and Social Development Act (DESDA) And Other Relevant Legislation
Apply Best Practices and Lessons Learned From Statistics Canada’s Trust Centre
Statistics Canada’s Trust Centre
Canadian Provinces and Territories
Canadian Municipalities
Business Delivery Modernization (BDM)
BDM Capabilities and Enablers
Legislative Authority
Data Management
Service Management Use of Data
Client Experience Use of Data
Benefit Delivery Use of Data
Client and Account Data
Security and Integrity Data
Partner and Relationship Data
Client Employment and Earnings History
Benefit Processing Data: Evidence, Activity, Interactions, Decisions, Payments
Knowledge-Reference and Document Data
Analytical Insights and Reports
Data Foundations Drivers For Change
Collection, Storage and Analysis of Data Is Widely Dispersed Across Multiple Branches, Program Areas and Regions
Authorities' Tactical Data Priorities View of Program-Project First Stunts Advancement Toward Strategic Outcomes
Data Collected From Surveys, Research and Partners Is Difficult To Integrate With Program Data
Low Data Literacy Is Limiting Data Value
Executives Lack Understanding, Tools and Skills To Manage Data As A Resource
Lack Of Enterprise Infrastructure To Support Advanced and Emerging Data & Analytics
Spreadmarts and Black Books Mean A Lack of Clarity Around Data Access and Use
Research, Vision and Strategy Activities
Demographic Data Intake Partnerships - Obtain Improved Partner Data
Data Strategy - Data As An Asset
Surveys and Research - Identify Gaps In Available Data
Data Governance - Define The Data Management Framework
Data Policy - Consistently Towards Successful Strategy Implementation
Technology Platform
BDM Enterprise Architecture Team
Enterprise Architecture Practitioners
Business Architect
Enterprise Architecture Practitioners
Application Architect
Enterprise Architecture Practitioners
Information Architect
Enterprise Architecture Practitioners
Security Architect
Enterprise Architecture Practitioners
Technology Architect
Enterprise Architecture Practitioners
Enterprise Architect
Enterprise Architecture Practitioners
Cloud Archiect
Data Foundations Programme
Data Science & Machine Learning (DS&ML)
Data Foundations Programme
Enterprise Data Lake
Data Foundations Programme
Enterprise Data Warehouse
Data Foundations Programme
Enterprise Data Catalog
Data Foundations Programme
Reference Data Management
Data Foundations Programme
Master Data Management
Data Foundations Programme
Enterprise Canonical Model
Data Foundations Programme
National Address Register
Enterprise Data Warehouse
Benefits Knowledge Hub (BKH)
Cloud Architecture Practitioners
Cloud Center of Excellence
Cloud Architecture Practitioners
Cloud Operations
Cloud Architecture Practitioners
Cloud Archiect
Cloud Archiect
ESDC Cloud Reference Architecture
ESDC Chief Data Officer (CDO) Directives
Develop and Implement A Data Vision and Strategy
ESDC Chief Data Officer (CDO) Directives
Champion Greater Horizontality of ESDC's Data Flow
ESDC Chief Data Officer (CDO) Directives
Champion the Establishment of Data Governance and Data Policies to Improve Data Management
ESDC Chief Data Officer (CDO) Directives
Improve Partner Access to ESDC Data and Drive Innovation Via Uptake and Use
ESDC Chief Data Officer (CDO) Directives
Promote Awareness and Education Across ESDC On Data Management Best Practices and Processes, and Ensure Knowledge Transfer To Executives and to CDO Staff
Statistics Canada’s Trust Centre
Apply Best Practices and Lessons Learned From Statistics Canada’s Trust Centre
Business Delivery Modernization (BDM)
BDM Capabilities and Enablers
BDM Capabilities and Enablers
Legislative Authority
BDM Capabilities and Enablers
Data Management
BDM Capabilities and Enablers
Service Management Use of Data
BDM Capabilities and Enablers
Client Experience Use of Data
BDM Capabilities and Enablers
Benefit Delivery Use of Data
BDM Capabilities and Enablers
Client and Account Data
BDM Capabilities and Enablers
Security and Integrity Data
BDM Capabilities and Enablers
Partner and Relationship Data
BDM Capabilities and Enablers
Client Employment and Earnings History
BDM Capabilities and Enablers
Benefit Processing Data: Evidence, Activity, Interactions, Decisions, Payments
BDM Capabilities and Enablers
Knowledge-Reference and Document Data
BDM Capabilities and Enablers
Analytical Insights and Reports
Data Foundations Drivers For Change
Collection, Storage and Analysis of Data Is Widely Dispersed Across Multiple Branches, Program Areas and Regions
Data Foundations Drivers For Change
Authorities' Tactical Data Priorities View of Program-Project First Stunts Advancement Toward Strategic Outcomes
Data Foundations Drivers For Change
Data Collected From Surveys, Research and Partners Is Difficult To Integrate With Program Data
Data Foundations Drivers For Change
Low Data Literacy Is Limiting Data Value
Data Foundations Drivers For Change
Executives Lack Understanding, Tools and Skills To Manage Data As A Resource
Data Foundations Drivers For Change
Lack Of Enterprise Infrastructure To Support Advanced and Emerging Data & Analytics
Data Foundations Drivers For Change
Spreadmarts and Black Books Mean A Lack of Clarity Around Data Access and Use
Research, Vision and Strategy Activities
Demographic Data Intake Partnerships - Obtain Improved Partner Data
Research, Vision and Strategy Activities
Data Strategy - Data As An Asset
Research, Vision and Strategy Activities
Surveys and Research - Identify Gaps In Available Data
Research, Vision and Strategy Activities
Data Governance - Define The Data Management Framework
Research, Vision and Strategy Activities
Data Policy - Consistently Towards Successful Strategy Implementation
