Business and IT Collaboration through Data Stewardship at Canadian Tire
Business and IT Collaboration through Data Stewardship at Canadian Tire
Linda Mozewsky, Information Resource ManagerMark O’Gorman, Enterprise Data Architect
CTC Enterprise IT
Linda Mozewsky, Information Resource ManagerMark O’Gorman, Enterprise Data Architect
CTC Enterprise ITDecember 2006
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AgendaAgenda
• Canadian Tire Story• Data Stewardship• Data Ownership• Data Architecture• Data Principles• Information Management Context• Success Stories and Lessons Learned
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Canadian Tire TodayCanadian Tire Today
465 stores 4MM+ accounts 61 stores
328 stores 262 gas bars
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We are Unique in the MarketplaceWe are Unique in the Marketplace
Brand recognition and trust
Reach and scale
Real estate
Unique formats, products and services
Canadian Tire ‘Money’loyalty program
Unique business platform of inter-related businesses
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Drivers for Data StewardshipDrivers for Data Stewardship
• External DriversPIPED Act (Applies to retail organizations January 2004)CEO and CFO Certification (Bill 198)
• Internal DriversEnsure decisions are based on accurate facts (single version of the truth)Optimize employee productivityMinimize potential for inconsistencies in dataReduce system development and maintenance costs
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Structure of Data StewardshipStructure of Data Stewardship
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Mission StatementMission Statement
• Data Stewardship is a business-enabling team that directs and advises data owners and information consumers on the most appropriate and effective use of enterprise data assets in order to maximize enterprise business and shareholder value.
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ResponsibilitiesResponsibilities
• Data Stewards’ Responsibilities include:Maintain a focus on continuous improvement of data quality, integrity and consistencyCreate awareness of current data quality issues and impacts within the functional area from an enterprise perspectiveMaintain an understanding of, advocate and communicate data management principles and standardsAct as liaison for their respective business areaEnsure appropriate data access and useAct as the single point of contact for information needs and issues
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Value of Data StewardsValue of Data Stewards
• The value Data Stewards bring to the organization include:
Provide expertise, guidance, methodologies and models to cultivate a common understanding of enterprise data assetsSupport CTC policies related to data and information managementImprove decision-making and reporting Improve data quality by advising on definitions and standardsAssist customers in the business and IT in defining data content, specifications, and understanding information risksProtect the privacy and confidentiality of data
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Focus for First YearFocus for First Year
• Established governance structuresData Advisory CommitteeEscalation Procedures
• Established the identity of Data StewardsLogoMission StatementRole and Responsibilities
• CommunicationSpreading the Word
• Increased complement of Data Stewards• Developed data issue log and process
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Focus for Second Year & BeyondFocus for Second Year & Beyond
• Promote Data QualityDefinitionsMeasurement MethodologyCommunication
• Increased Involvement in Projects• Establish Communication Vehicles
Quarterly Bulletins• Strengthen processes & procedures• Continue to increase the complement of Data
Stewards
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CFOs / CIOsCFOs / CIOs
Generally VP Level
CFOs / CIOs
Generally VP Level
Generally Director Level
CFOs / CIOs
Generally VP Level
Generally Director Level
Delegation from BusinessData Owner
Generally Manager Level
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Addressing the Ownership QuestionAddressing the Ownership QuestionPILOT Business Data Management Framework
Who is allowed to make which decisions?
VisionEnterprise Executive Owner
Enterprise
VisionEnterprise Executive Owner
Enterprise
StrategyExecutive Data Owner
Division Subject Area
VisionEnterprise Executive Owner
Enterprise
StrategyExecutive Data Owner
Division Subject Area
DesignBusiness Data Owner
Process Entities
VisionEnterprise Executive Owner
Enterprise
StrategyExecutive Data Owner
Division Subject Area
DesignBusiness Data Owner
Process Entities
OperateBusiness Data Manager
Major Function Data
Set Enterprise information framework:•Vision / mission / values•Policies & Guiding Principles•Strategies like BI, Meta Data. Master Data Mgmt
Set Enterprise information framework:•Vision / mission / values•Policies & Guiding Principles•Strategies like BI, Meta Data. Master Data Mgmt
Set subject area:•Enterprise-wide view•Strategy, Objectives, Priorities, Resources
Set Enterprise information framework:•Vision / mission / values•Policies & Guiding Principles•Strategies like BI, Meta Data. Master Data Mgmt
Set subject area:•Enterprise-wide view•Strategy, Objectives, Priorities, Resources
Define/maintain Entity process and usage:•Data Lifecycle (create, maintain, purge)•Data definitions and validity rules•Security (access, usage, legal, privacy)•Quality
Set Enterprise information framework:•Vision / mission / values•Policies & Guiding Principles•Strategies like BI, Meta Data. Master Data Mgmt
Set subject area:•Enterprise-wide view•Strategy, Objectives, Priorities, Resources
Define/maintain Entity process and usage:•Data Lifecycle (create, maintain, purge)•Data definitions and validity rules•Security (access, usage, legal, privacy)•Quality
Execute according to design•Maintain quality•Approve security access
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Data Architecture ServicesData Architecture Services
• Strategy and Program Planning • Information Needs Analysis• Business Data Knowledge Capture• Data Designs• Data and Information Management
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Purpose of Data PrinciplesPurpose of Data Principles
• Data Principles are a framework for decision-making and guide behaviours related to information management
• Data Principles are applied:to the use and deployment of all resourcesacross the enterprise to bring a business point-of-view to IT decisionsto provide a common vocabulary for guiding project teams
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How Data Principles were DevelopedHow Data Principles were Developed
• Based on research of industry best practices
• Updated or augmented to CTC culture, environment and needs by Data Architecture
• Refined through Enterprise Architecture review
• Validated and updated based on CTC experience by Data Stewards
• Supported by Data Stewards
• Reviewed and aligned with Security efforts through Security and Risk Management groups
• Shared with CTFS and MWW
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How Data Principles are UsedHow Data Principles are Used
Architects: as a framework for standards development
Projects: to understand value and data management effort
Policy Makers: to provide best practice support and alignment to standards
Review Boards: to raise visibility to value, costs and risks of decisions
Data Stewards: to assist with resolving data issues
Principles often require striking an appropriate balance among
principles
Principles must be considered in the
context of "all other things being
equal."
Principles are interrelated and
need to be applied as a set
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Information Management ContextInformation Management Context
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Success StoriesSuccess Stories
• Embracing data quality measurement methodology• Developed Business Data Management
Framework to define levels of ownership• Contributing to a meta data repository• Developed Data Principles• Establishing common definitions• Examples of Data Issue Resolutions
Establishing a single sourceHandling a group of data issues that are similar and involve the same stakeholders to identify root causes of problems and work together for remediationResolving reconciliation issues
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Wins, Challenges, Lessons LearnedWins, Challenges, Lessons Learned
• Collaboration of Business and IT• Organizational Change Management• Commitment needed at all levels• Walk before you run• Manage by collaboration, not by mandate
Limited decision-making and enforcement authority• Never underestimate the time required to reach
consensus• Continually advertise the value Data Stewards
have brought to the organization
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Contact InformationContact Information
• Linda Mozewsky, Information Resource [email protected]
• Mark O’Gorman, Enterprise Data [email protected]