Developing and ImplementingData Policies and Standards toManage Data as an EnterpriseAssetJanet Lichtenberger, Director, Global Data Governance18 May 2016 2016 Walgreens Boots Alliance. All rights reserved.
Walgreens Boots AllianceWalgreens Boots Alliance is the first global pharmacy-led, health andwellbeing enterprise in the world. Our purpose is to help peopleacross the world lead healthier and happier lives.Walgreens Boots Alliance was created through the combination ofWalgreens and Alliance Boots on 31 December 2014. This transactionbrought together two leading companies with iconic brands,complementary geographic footprints, shared values and a heritage oftrusted healthcare services through pharmaceutical wholesaling andcommunity pharmacy care, dating back more than 100 years. A presence in more than 25* countries Employs over 370,000* people and is the largest retail pharmacy, health and daily living destination in theUSA and Europe, and (including equity method investments) is: The global leader in pharmacy-led, health and wellbeing retail with over 12,800* stores in 11*countries The largest global pharmaceutical wholesale and distribution network with over 340* distributioncenters delivering to more than 180,000† pharmacies, doctors, health centers and hospitals each yearin 19* countries The world’s largest purchaser of prescription drugs and many other health and wellbeing products* As at 30 November 2014 including equity method investments on a pro-forma basis excluding Alliance Healthcare Italia which ceased to be an equity method investment of AllianceBoots in December 2014† For year ended 30 November 2014 including equity method investments on a pro-forma basis excluding Alliance Healthcare Italia which ceased to be an equity method investment ofAlliance Boots in December 2014 2016Walgreens Boots Alliance. All rights reserved.2
Setting ExpectationsWhat you can expect from today Sharing pragmatic experience from half a decade of data management and datagovernance at Walgreens and Walgreens Boots Alliance on how to: Develop and implement policies in a changing environment Respond to ongoing merger and acquisition activity Respond to changes in the business model Build a global program on a light budget A Case Study – our experience A real world example of how things work 2016 Walgreens Boots Alliance. All rights reserved. c3
Agenda Getting Started Walgreens Data Management History Governance Structures and Partnerships Data Governance Policies Policy Development & Enforcement Data Standards The Emergence of Global Data Governance Communication, Education, and Ongoing Compliance Measuring Success4 2016 Walgreens Boots Alliance. All rights reserved.
Getting Started5 2016 Walgreens Boots Alliance. All rights reserved.
Data Policies and Standards: Define Your TermsPolicyStandardDefinition: Data Policies are theoverall business rules andprocesses that an enterprise utilizesto provide guidance for datamanagement. Policies might includeadherence of data to business rules,providing guidance for protection ofdata assets, compliance with lawsand regulations, defining enterprisedata management functions, andothers.Definition: Data Standards are theprecise criteria, specifications, andrules for the definition, creation,storage and usage of data within anenterprise. Data Standards includebasic context items like namingconventions, number of characters,and value ranges. Data Standards mayalso dictate specific quality measures,retention rules, and backup frequency.Examples:Data Classification PolicyData Sharing PoliciesData Governance PoliciesInformation Security PoliciesHIPAA Privacy PoliciesExamples:Data Standards, such as Name and AddressNational and Industry Standards (HL7, GS1)Data Quality StandardsMeta Data Standards (ISO 11179, ISO 15836)Data Model Standards 2016 Walgreens Boots Alliance. All rights reserved.6
What Data Policies and Standards do you need?In selecting which data policies andstandards to develop, consider aligningwith:BusinessObjectivesEIM GoalsEIM ProgramFrameworkCorporateStructure andCulture 2016 Walgreens Boots Alliance. All rights reserved.Policies andstandardsshould drivebehaviorsneeded for datamanagementsuccess.Policies andstandards mustbe adapted toa changingenvironment.7
Align Policies and Standards with Business ObjectivesReduce business costImprove business capabilitySupport Merger &Acquisition activitiesReduce overall data risk(Privacy and Compliance,data sensitivity, overall datarisk)Efficient, secure dataexchange with externalpartnersConsistent data experiencefor customers, clients,partners, vendors,employees 2016 Walgreens Boots Alliance. All rights reserved.8
Align Policies and Standards with EIM Goals To understand the information needs of the enterprise and all relevantstakeholders. To reduce costs through efficient management of data and information. To capture, store, protect and ensure the integrity of the data andinformation needed, across all business functions and applications. To improve the quality and availability of data and information throughoutthe enterprise. To promote consistent understanding of the meaning and context of dataacross the enterprise. To prevent inappropriate use of data and information. 2016 Walgreens Boots Alliance. All rights reserved.9
Align Policies and Standards with Enterprise InformationManagement FrameworkContext within the DMBOK FrameworkPrioritize andinvest in highvalue areas forpolicy andstandard workUtilizepolicies as amethod tochangebehavior 2016 Walgreens Boots Alliance. All rights reserved.Utilize DataGovernance toorganize andfacilitate policyand standardworkUtilizepolicies andstandards tobuildpartnershipswith theenterpriseCopyright 2009 DAMA International10
Align Policies and Standards with Your ProgramDAMA DMBOK FrameworkTOGAFDataQualityStandardsData ModelStandardsMetadata,Glossary, &StandardsAnalyticsStandards &MetadataMaster andReferenceDataStandards 2016 Walgreens Boots Alliance. All rights taStandardsCopyright 2009 DAMA International11
Policies and Standards: Cultural and Corporate StructuralAlignment What does your executive committee value? Is the organization centralized or de-centralized? Are there existing enterpriseprograms to align with? Will the policy be enforceable enterprise-wide or partial? How will the policy or standard be enforced? Recommendation? Fullenforcement? How are other policies enforced? Is the policy in keeping with existing IT, Risk, and Privacy policies? Are there organizational partners willing to do the policy and standard work? Is there adequate funding? Others 2016 Walgreens Boots Alliance. All rights reserved.12
Policies, Standards and EIM / Data Governance Policies and Standards can support EIM and Data Governance byimproving: Management of Data Risk & Data SecurityMaster & Reference Data consistencyMeta Data richness and consistencyData QualityData Model consistencyAnalytics metric consistency and qualityDefinition of Data Governance Roles and Responsibilities, Structure and AuthorityOthers?Policies and Standards will improveCommunication, Discussion, Acceptance, andUnderstanding of Enterprise InformationManagement and Data Governance. 2015 Walgreens Boots Alliance. All rights reserved.13
Walgreens Data Management History14 2016 Walgreens Boots Alliance. All rights reserved.
Walgreens – Pre-MergerIn 2012, Walgreens was the largest drugstore chain in theU. S. The Company had 240,000 employees and morethan 8,300 locations. Business Mix: Store Pharmacy Retail – brick and mortar E-Commerce – Walgreens.com, other websitessuch as drugstore.com, vision.com, skinstore.com Retail and Corporate Clinics Specialty pharmacy Home Care Infusion and Respiratory 2016 Walgreens Boots Alliance. All rights reserved.15
Walgreens Data Governance – 2009Early Data Governance efforts at WalgreensIntegrated Customer& Patient SystemsData GovernanceOne Patient View(OPV) GovernanceTeam 2016 Walgreens Boots Alliance. All rights reserved. Data Governance formally kicked off in 2009with one FTE Reported to a customer /patient master dataapplication system Governance team consisted of one businesssteward from marketing and a group ofoperational / technical data stewards Focused on Operational Data Governancedecisions supporting Customer data quality,such as address – e.g. Addresses would belimited to home, home 2, and work, etc.) Governance “data scrubbers”16
Walgreens Data Governance – 2010Early Data Governance efforts at WalgreensEnterpriseArchitectureEnterprise DataArchitectureData GovernanceCustomer DomainTeam Mid 2010, formed Enterprise Architecture Still IT based, one FTE for Data Governance Set a structure in place to allow for thepossibility of a broader focus Continued focus on Customer and Patient DataQuality, customer / patient MDM Data Governance program had some successesin a single domain: Master Data Data QualityData Governance disbanded in 3rd Quarter 2010No standards or policies formally approved, andcommunicated/published 2016 Walgreens Boots Alliance. All rights reserved.17
2011 Reformulation of Governance: Key ConceptsProgram stayed within EnterpriseArchitecture, but increased businessengagement and enterprisepartnershipsFormalized Data Governance:Components of Data Governance,Mission / Vision, Goals, Policies,StandardsIntroduced the concept of DataManagement, based on DAMADMBOK models and staff experienceDeveloped processes to collect,and resolve data managementissues (MDM, RDM, Meta Data,business glossary, Data Quality)Created formal 3 tier stewardshipstructure (Executive, Operational,Data Domain); formalized roles andestablished Data Governance OfficeFormalized documentation:business glossary, stewardshipdecisions, education, andcommunication, marketing, andtraining 2016 Walgreens Boots Alliance. All rights reserved.18
Walgreens Data Governance – 2011 Pre- WBA Merger StructureData eDataDomainTeamOperationalData StewardDataGovernanceOffice 2016 Walgreens Boots Alliance. All rights reserved.Data Governance Executive Committee – providesstrategic data management direction to the overallEDG program based on business strategy, direction,and prioritization. Approves enterprise datagovernance policies, standards, and processes.Communicates and promotes the Enterprise DataGovernance program throughout the organization.Data Governance Committee – provides operationaldata management direction for issues, request, andquestions that cross data domains or subject areasto ensure approaches and methods are doneconsistently. Venue for proposing new or modifieddata management policies, standards, and processesfor endorsement by the DGC and then to the EDGECfor approval. Data Domain Leads serve on thiscommittee besides their own Data Domain Teams.Data Domain Team – provides direction foroperational data management issues and questionsfor a single data domain or subject area levelincluding development of logical master records.Data Governance Office – provides data management education,communication, and collaboration throughout the enterprise. Supportsmajor application programs and initiatives that have potential impact onenterprise data management direction.19
The Components of the Enterprise Data Governance ProgramEstablish and develop theorganizational hierarchy of businessand technology representativesPeopleEstablish Data Governancepolicies for data management(e.g., outbound data sharing)Establish processes fordata management (e.g.,data issuetracking/resolution, dataquality monitoring, datasharing, etc.)StandardsPoliciesProcessIdentify and establish technology bestpractices and methods for improvingdata management 2016 Walgreens Boots Alliance. All rights reserved.Componentsof theEnterprise ablish standards for master &reference data, metadata,classification, accessibility, etc.Establish businessmetrics for monitoringand measuring overallbusiness impact .Provide the communication,collaboration, socialization,and training for supportingprogram across the enterprise.20
Customized Enterprise Information ManagementFramework for WalgreensData GovernanceUnstructuredDataManagementMaster Data &Reference DataManagementDataWarehousingData QualityManagementData SecurityManagementData IntegrationManagementData DeliveryManagement 2016 Walgreens Boots Alliance. All rights reserved.Data Structure and FrameworkStructured DataManagementData Model/ClassificationMetadata ManagementData ContextPolicies, Processes, Standards; Organization, andStewardship21
Developed Enterprise PartnershipsHIPAA AssetRisk &CostPatientHealth 2016 Walgreens Boots Alliance. All rights reserved.Stewardship Compliance Policy Data Monetization Data Security Data Privacy (HIPAA) Data Quality MDM, RDM Education and tion Business andTechnicalStewards22
Enterprise Information Management FrameworkDefined Formal Role DescriptionsData Governance Steward RolesExecutive Stewards Member of the Data Governance Executive Committee. Provides strategic data management direction to the Data Governance programbased on knowledge of business strategy and business areas priorities.Enterprise Stewards Member of the Data Governance Committee. Provides broad operational data management support for enterprise data management issuesand policy requests across all business areas. Ensures data management approaches and methods are done consistently across the Provides approval authority for adoption of Enterprise Data Governanceenterprise.policies, standards, and processes. Provides primary development, update, & enforcement support for DG policies, standards, & Provides input and approval of targeted projects for the fiscal year. Provides input and approval for targeted data domain priorities.processes as either a member of the DGC or a sub-committee. Provides insight, knowledge, and endorsement for adoption of international, national andindustry data standards in a timely manner. Provides guidance, direction, and support for funding of Data Governance Provides or recommends canonical data structures that can be leveraged by the enterprise.initiatives. Provides endorsement of proposed Enterprise Data Governance policies, standards, and Communicates and promotes the Data Governance program throughout theprocesses that will be presented to EDGEC for approval. Identifies and presents potential data issues, from their department/business unit, to the DGCorganization.for review and resolution. Typically at a Divisional Vice President level or above. Communicates and promotes the Data Governance policies, standards, and processesthroughout their business area. Typically at a manager level or above or a subject matter expert.Operational Stewards Member of the Data Governance Stewardship Organization. Provides data insights from both a business operations perspective andapplicability to relevant data governance issues. Identifies and presents potential data issues and requests from theirDomain Stewards Member of a specific Data Domain Team. Provides operational data management support for a specific enterprise data domain (e.g.,Customer, Location).department/business unit, to the Data Governance Office for review andresolution. Aligns with enterprise data management approaches and methods. Provides insight and endorses the adoption of international, national, and Provides expertise and insight into the operational data management challenges specific toindustry data standards within the business area in a timely manner.the data domain, as a subject matter expert. Communicates and promotes Data Governance policies, standards, and processes Provides insights and endorses the adoption of international, national, and industry datathroughout the business area.standards for the specific data domain (e.g., logical master data record) in a timely manner. Provides guidance for aligning business area data usage with Enterprise Data Provides or recommends canonical data structures that can be leveraged by the enterpriseGovernance policies, standards, and processes.for the specific data domain. Provides service account management on critical systems or those containing Communicates and promotes the Data Governance policies, standards, and processesconfidential Information.throughout their business area. A business data expert representing a business area. Identifies and presents potential data issues, from their department/business unit, to theDomain Team and the DGO for review and resolution. A subject matter expert for the specific subject area. 2016 Walgreens Boots Alliance. All rights reserved.23
Governance Structures and Partnerships24 2016 Walgreens Boots Alliance. All rights reserved.
Data Governance OrganizationStrategy and Prioritiesfor policies andstandards set at theexecutive or DGCCommittees.Standards workcompleted byData DomainTeams, or SMEs& Advisors. 2016 Walgreens Boots Alliance. All rights reserved.Policy workcompleted atthe subcommitteelevel.25
Enterprise Partnerships: Who Should You Include in Policy andStandard Work?CommitteeChairHIPAA /PrivacyDataGovernanceData,Metadata, DataQualityStandardsPersonalBusiness andTechnicalStewardsMonetizationLegalDataAssetRisk &CostVendorCollaboration 2016 Walgreens Boots Alliance. All rights reserved.PatientHealthLegalData Classification orSensitivity; Legal,Privacy, Security,Risk ConcernsRiskManagementInformationSecurity26
Recommended: Data Governance Policy Sub-Committee(s) Functional Maturity: Committee may start bymaking recommendations for policies andenforcement. As the function matures, it may beappropriate for enforcement to be authoritative. Escalation / Exceptions: Depending on the policy,escalation and exceptions may be to the DataGovernance Executive Committee, to an ExecutivePolicy Committee, or to another Cross FunctionalExecutive Committee. Metrics: Tracking metrics on policy enforcementassists with maturation of function. Range of Authority and Responsibility: Whatdata? Test? Production? Vendor? Data at Rest? Inmotion? Structured? Unstructured? E-mail? Wikis,blogs? Verbal? 2016 Walgreens Boots Alliance. All rights reserved.DataGovernanceData GovernancePolicy SubcommitteePolicy EscalationCommitteeData GovernanceInformationSecurityInformationSecurityIT Risk &ComplianceCustomer Loyaltyand InsightsHuman ResourcesIT Risk &ComplianceCompliance andPrivacyCompliance andPrivacyRisk ManagementFinanceData Governance27
Set Clear Boundaries on PartnershipsData Governance does not own, but may be involved in conversations on: Interpreting compliance, privacy, HIPAA, and other laws and regulations. Establishing protection methods for data assets. Interpreting legal and contractual issues. Monetizing data. Performing a formal data risk assessment. Determining data retention. Setting practices for test data. Deciding if data can be shared and with whom. 2016 Walgreens Boots Alliance. All rights reserved.28
Data Governance Models: Structure to Synergize with Your OrganizationIncreasing ability to enforce policies and FunctionalFunctionalFunctionalFunctional areas operate withcomplete autonomy. Can choose toimplement selected policies andstandards to meet specific enterpriserequirements, but are not required to.Governance by influence is the norm.DGEnterpriseResponsibility and ownership are sharedbetween functional areas and theenterprise. Data Governance has theauthority to enforce certain policies andstandards enterprise-wide, but not all.Governance by influence still needed.FunctionalDGFunctionalFunctionalData Governance provides a single pointof control and decision making, withfunctional areas having little or noauthority and responsibility. Most datapolicies and standards are fully enforcedat an enterprise level. Governance isauthoritative.It is fine to fully enforceon some things, butonly do limitedenforcement on others. 2016 Walgreens Boots Alliance. All rights reserved.2929
Data Governance Models: Aligning Policies with Your ModelIncreasing ability to enforce policies and Governance by Influence: Recommend adherence of projects,systems, and processes tostandards. Roles, responsibilities areguidelines. Determine what data is enterprise,and influence as much as possible. If legal or regulatory, alFunctionalShared Responsibility and Ownership: Some recommendation, someenforcement of policies, standards,processes. Roles, responsibilities can be partiallyenforced, or guidelines. Increased governance of enterprisedata. Can set up departmental governanceefforts. If legal or regulatory, enforce 2016 Walgreens Boots Alliance. All rights onalSingle Point of Control (Governanceis Authoritative): Enforced policies and standards forenterprise data. Enforced Data Governanceprocesses, roles, and authority. Role in information managementlifecycle can be authoritative. Compliance with legal and regulatoryenforced consistently.3030
Data Governance Policies31 2016 Walgreens Boots Alliance. All rights reserved.
Data Policies – Some Ideas and PossibilitiesDepending on the culture and the need, Data Governance / Data ManagementPolicies may define: Data classification and sensitivity. Data Sharing Rules (Inbound, Outbound, Internal) Adherence of projects, systems, and processes to data governance andinformation management standards. Differentiation between what is enterprise versus departmentally governed. Rules of engagement for Data Governance, including definition of the eligibility,training required, roles, and responsibilities of data owners and stewards. Application Software Package Acquisition as a Components of the InformationResource Lifecycle Defined Quality Standards for Acquired External Information Others.Always considercorporate cultural andpolitical realities 2016 Walgreens Boots Alliance. All rights reserved.32
Data Classification Policy Provides guidelines for business decision-making regarding theclassification or sensitivity of information. Works together with applicable Information Security Policies, HIPAA /Privacy Policies, Risk, and Legal Policies and Practices to govern andprotect customer, patient and business information.Data Governance:Information Security:Guidelines for DataClassificationTechnological andAdministrative Implications“What”“How” Confidentiality Technical or Business Sensitivity Regulatory - HIPAA / Privacy Global considerations by country and region 2016 Walgreens Boots Alliance. All rights reserved. Guidelines for controls and processes basedon classification Compliance with Information Security Policy33
Data Classification Policy – Sample LevelsMoreRestrictedAccessLessRestrictedAccess 2016 Walgreens Boots Alliance. All rights 4
Data Classification Policy : Additional Considerations Pyramid Levels: Higher levels of pyramid determined byregulatory and privacy concerns; and by businesssensitivity. Consistent Enforcement: Pyramid should be enforcedconsistently for the entire enterprise, as much aspossible. This may need to be phased in. Global Considerations: Levels may vary when appliedoutside of the U. S. due to legal and regulatoryconcerns, such as E.U. Privacy laws. Do not assume thatlevels determined for domestic use will apply globally.Work with attorneys to determine. Integrated Effort: Development and enforcement of thispolicy will be heavily integrated with other areas of thefirm: Privacy, Risk, IT Risk Management, IT Security. Synergies: Policy can have synergies with non-datagovernance policies and practices: IT Risk Management,IT Security, Privacy, Regulatory, Legal. Functional Alignment : Other functions align andleverage policy enforcement, such as data monetizationand records retention. 2016 Walgreens Boots Alliance. All rights reserved.35
Data Classification Policy : HIPAA Privacy Rule Deidentification MethodsUnder HIPAA, protected health information canbe de-identified two ways: Safe Harbor: Remove 18 identifiers from thedata. This option can render the data largelyuseless for business purpose but will protectprivacy. Expert Determination: Certification from anexpert that there is a low probability the datacan be used to re-identify an individual. Theexpert determination method does notrequire all 18 identifiers to be removed fromthe data. Data is looked at holistically by thestatistician to determine whether it can be deidentified based on all factors.Work with your Privacy Office to determine best practice. Method chosen may affectclassification level and thus security protocols. . 2016 Walgreens Boots Alliance. All rights reserved.36
Data Classification Policy : De-Identification Standards –HIPAA Statistical MethodA person with appropriate knowledge of and experience withgenerally accepted statistical and scientific principles andmethods for rendering information not individuallyidentifiable: Applying such principles and methods; determines that therisk is “very small” that the information could be used, aloneor in combination with other reasonably availableinformation by an anticipated recipient to identify anindividual who is a subject of the information; and Documents the methods and results of the analysis thatjustify such determination 2016 Walgreens Boots Alliance. All rights reserved.37
Data Classification Policy : De-Identification Standards HIPAA Safe HarborSafe Harbor Direct Identifiers and Quasi-identifiers1. Names2. All geographicsubdivisions smaller thana state, except for thefirst 3digit of zip code3. All elements of dates(except year)4. Telephone numbers5. Fax numbers6. Electronic mail addresses7. Social security numbers8. Medical record numbers9. Health plan beneficiarynumbers10. Account numbers11. Certificate/licensenumbers 2016 Walgreens Boots Alliance. All rights reserved.12. Vehicle identifiers andserial numbers,including license platenumbers13. Device identifiers andserial numbers14. Web UniversalResource Locators(URLs)15. Internet Protocol (IP)address numbers16. Biometric identifiers,including finger andvoice prints17. Full face photographicimages and anycomparable images;18. 18. Any other uniqueidentifying number,characteristic, or code38
Data Sharing Policies: Outbound, Inbound, InternalProvides guidelines for business decision-making regarding the sharing orexchanging of customer, patient, and business information.Comply withApplicable Policiesand Procedures Data Classification Policy Information Security Policies HIPAA / Privacy and Legal Policies Business Area Policies and Procedures Contractual ConsiderationsConsider the Needto Share Is there a business need to share the data? What is the minimum necessary?Consider the Risk 2016 Walgreens Boots Alliance. All rights reserved. Comply with Risk Management procedures Consider the party with whom the data will be shared (e.g. vendorcapabilities, offshore location) Compliance with retention and purge policies39
Data and Information Management Policies – GuidingPrinciples What you develop should be tuned to yourprogram’s focus areas and goals Develop only what you need to make yourprogram successful Not everything is a policy - Considerleaving some policies as guidelines,charters, or education and trainingBusinessObjectivesEIM GoalsEIM ProgramFrameworkCorporateStructure andCulture Consider what will have the most impact If it is legal or regulatory, you must enforceuniformly. But that is the only case weknow of where that is true. 2016 Walgreens Boots Alliance. All rights reserved.Avoid the politicalnightmare of beingseen as a restrictiveburden rather than auseful program. Sellfirst, then police if youhave to.40
Policy Development & Enforcement41 2016 Walgreens Boots Alliance. All rights reserved.
Structuring Policies: Align with Enterprise Policy Standards Introduction Purpose Scope Governing Bodies Compliance Main Section Policy Details Appendices Supporting Policies andStandards Glossary Appendix 2016 Walgreens Boots Alliance. All rights reserved.For standard policy sections, alignand integrate with: Established, related policyconventions, format,language, implementationmethods Related policy content Policies can specifically referto each other, therebystrengthening acceptance andenforcement by the enterprise(e.g. Info Security, Privacy,Data Governance, EIM,Business, IT)42
Data Governance Policy - More Details, a TemplatePolicy NamePurpose:State Purpose of policy: For Example, from a Data Exchange Policy: This policy provides guidance on theminimal qualitative characteristics and information specifications of information acquired from external sourceseither through purchase (e.g., vendor) or exchange to meet business or technical requirements.ScopeState Scope: Data and People policy applies to: For example: This policy applies to all customer and businessinformation in all formats (both paper and electronic). This standard applies to all employees, contractors, andagents.Governing BodiesSpecify group(s) for policy management: develop, approve, application, escalation, variance / exception.ComplianceSpecify how to comply, and ramifications if not complied with . For example : Discipline, up to and includingdismissal.Policy DetailsSpecific policy details and requirements.Supporting Policiesand StandardsList all supporting and related policies and standard
Walgreens Boots Alliance Walgreens Boots Alliance is the first global pharmacy-led, health and wellbeing enterprise in the world. Our purpose is to help people across the world lead healthier and happier lives. Walgreens Boots Alliance was created through the combination of Walgreens and Alliance Boots on 31 December 2014. This transaction
the management and use of data assets. It is performed by Commission staff with established data-related roles. Data policies are a set of broad, high level principles (8) which form the guiding framework in which data assets in the Commission can be managed (9). More specifically, data policies govern data management, data interoperability and
2. Gender-mainstreaming health policies 2.1. Approaches to women and gender in health policies Approaches to women and gender issues in policies, including health policies have been classified in many different ways. The following is a modified version of a well-known schema for categorising how policies identify and address gender inequalities
2. University Policies 3. Nursing Department Policies 4. Classroom Policies 5. Laboratory Policies 6. Clinical Policies 7. Policies for student interaction and influence in the governance system of the Department of Nursing. 8. Student services provided by the Metropolitan State University of Denver and the Department of Nursing. 9.
SCI Annual Hunters' Convention Policies and Procedures ("SCI Convention Policies") DMWEST #41425003 v1 1 P a g e Revised March 28, 2021 Adherence to Policies These SCI Convention Policies are incorporated by reference into the Exhibitor Contract and the Registration Agreement. These SCI Convention Policies bind all Convention attendees.
implementing e-governance in a developing country like Bangladesh. 1.8 The authors’ own experience and background Bangladesh as a developing country is facing vast challenges while implementing e-governance. Government of Bangladesh has declared information and communication
neric Data Modeling and Data Model Patterns in order to build data models for crime data which allows complete and consistent integration of crime data in Data Warehouses. Keywords-Relational Data Modeling; Data Warehouse; Generic Data Modeling; Police Data, Data Model Pattern existing data sets as well as new kinds of data I. INTRODUCTION The research about Business Intelligence and Data
Title: ER/Studio Data Architect 8.5.3 Evaluation Guide, 2nd Edition Author: Embarcadero Technologies, Inc. Keywords: CA ERwin data model software Data Modeler data modeler tools data modelers data modeling data modeling software data modeling tool data modeling tools data modeling with erwin data modelings data modeller data modelling software data modelling tool data modelling
Sep 23, 2020 · The City is committed to implementing and maintaining strong policies and financial fiscal stewardship. The City last prepared an update of its financial policies in April 2005. Since 2005 the City has established a Budget Stabilization Fund (BSF), policies , related to the BSF,