Transcription
Implementing DND/CAFData Strategy26 September 2021Mr. John Walsh, DG DASI & CDO
Overview1. Data Strategy2. Where we are at with our Data Strategy3. Building the Foundation4. Data Capability5. Sample Use Cases6. Policy Suite
Data Strategy CDS/DM Joint Directive onDefence Data Management; The DND/CAF Data Strategywas released in September2019; and Includes a commitment todevelop an implementationplan, and report on progress.
DND/CAF Data Strategy – Lines of Effort The Implementation Action Plan will includeall 25 Activities listed in the Data StrategyRoadmap. ADM(DIA) is the sponsor for 15 activities,and accountable for the overallimplementation plan, coordinate with L1s,and monitor and report on progress. ADM(IM) is the sponsor for 5 activities, andADM-HR-Civ & CMP each sponsor 3. All L1s are sponsors for supportingimplementation through standing up ASCsand for transforming DND/CAF data culture.4
Analytics Vision & Guiding Principles
Data Maturity
Road Map to ImplementationIn order to achieve meaningful analytics capacity, DIA is working to build strong foundations on keyareas like governance, policies, data management, culture and DataArchitectureGovernance,Policies, Cultureand TrainingCONFIDENTIAL AND PROPRIETARY 2021 Gartner, Inc. and/or its affiliates. All rights reserved.DescriptivePredictivePrescriptive AnalyticsData Models,Data StandardsData CatalogData Governance FrameworkChange Management PlanData Quality FrameworkData TrainingData Policies
Core DND/CAF Data Capabilities
ADM(DIA) Policy Suite (Draft)2019 CDS/DM JointDirective on DataManagementDAOD 6500-0, DataManagement andAnalyticsData QualityFrameworkGuiding Principleson Data EthicsInstructional DAODon Data Quality(6500-4)DAOD 6502-0, DataStandardsInstructional DAOD(6502-1) on DataStandardsData StandardsFrameworkFinal Artifact Already Exists - 4ADM(DIA) ARAFrameworkDND/CAF DataCatalog StrategyDND/CAF DataAccess PolicyData Privacy andSecurity FrameworkDND/CAF DataStrategyInstructional DAODon Data Cataloguing(6502-2)Instructional DAOD(6500-1) on DataAccess/Open DataDND/CAF DataGovernanceFrameworkDirection on CoreData CapabilitiesInstructional DAOD(6500-2) on DataStewardshipInstructional DAODon Data Capabilities(6500-6)Analytics inDND/CAF: Visionand GuidingPrinciplesDND/CAF AIStrategyInstructional DAOD(6500-3) onAnalyticsInstructional DAOD(6500-5) on AIA,DADMData StrategyImplementationPlan (DSIP)Artifact in Progress – FY 21/22 - 10Artifact Planned - 10Policy Document or Framework (Soft Policy) - 11Policy DAOD (Hard Policy) - 2Instructional DAOD (Teacher Policy) - 8Core Document - 3Further possible products to come regarding: Data Literacy Predictive and Prescriptive Modelling Culture Peer and Institutional review Talent Acquisition Use of Third-party data Official Reporting
Data Science TeamThe Data Science team consists of experienced data scientists fromDefence Research and Development Canada (DRDC) embeddedwithin DG DASI to work on solidifying our current analytics capabilities,and continue to move the Department’s business insight into the future.They focus on delivering advanced data and analytics use cases usingthe autonomous or semi-autonomous examination of data or contentusing sophisticated techniques and tools, to discover deeper insights,make predictions or generate recommendations.They use advanced analytic techniques including data/text mining,machine learning, pattern matching, forecasting, visualization,semantic analysis, sentiment analysis, network and cluster analysis,multivariate statistics, graph analysis, simulation, complex eventprocessing, neural networks.10
BI Use Cases Currently, we have 49 BI use cases underway to support L1s. 9 of them are priority use cases (Tier 1). These include some of the following: ATIP Dashboard DND Data Warehouse Health Dashboard COVID-19 Dashboard Project L1 Financial Status Dashboard L0 Dashboard11
Questions?
Change Management Plan Data Quality Framework Data Training Data Policies Data Models, Data Standards Data Catalog Descriptive Predictive Prescriptive Analytics Road Map to Implementation Analytics Data Architecture Governance, Policies, Culture and Training In order to achieve meaningful analytics capacity, DIA is working to build strong .
