Robert S. DiStefano - Böcker

If your asset data is not reliable, you need to convince the organization of the enormous potential that is locked away. To accomplish this, you need to understand the breadth of the problem and the value of solving it. A viable business case for action is needed-so let's get started!  Physical asset data integrity is a critical aspect of every business, often the most valuable asset on the balance sheet, yet it is often overlooked. The data that we have about our assets collectively creates information, provides for accurate analysis and facilitates sound business decisions. Without accuracy of asset data there is a strong potential for poor decisions and their negative consequences. This book will not only provide an appreciation of this fact, it will also provide a road map to achieving value out of something most CEOs, managers, and workers often overlook.  AcknowledgementsAbout the AuthorIntroduction  1-The Business Case for Data IntegrityIntroduction to the Business CaseInformation OverloadSearching for DataRetiring Baby BoomersThe Brain DrainA Business Case ExampleConsistency or Lack ThereofThe Data Integrity Corporate EntitlementImpact on Shareholder Value Part 1-Understanding the Importance of Asset Data Integrity2-Plant Asset Information-A Keystone for SuccessOverviewWho Are The Stakeholders?Why We Wrote This BookWho Will Benefit?What You Will LearnChapter SynopsisLet’s Get Started3-What is Data Integrity?Defining the TermsData ElementsTaxonomy and Why Is It Important?What We Are Looking for in Good DataThe Downside of Poor Data IntegrityA Word About Information TechnologyUnderstanding Data Is Just the Beginning4-The Asset/Data Integrity Life CycleAbout Life CyclesThe Asset Life CycleThe Asset Data Life CycleWhy the Data Life Cycle is ImportantRoles and Responsibilities Within the Asset Life CycleIt Is Never To Soon To StartLife Cycle LinksLife Cycles as a Foundation5-Data Integrity at the Task LevelTask vs. StrategicThe Data Integrity TransformData Integrity TasksReactive Data IntegrityProactive Data IntegrityFrom Reactive to Proactive6-Internal Outcomes and ImpactsIndirect ImpactsDecisions Are Just the BeginningIndirect InputsIndirect OutputsThe Legal UmbrellaIndirect Aspects of the Transform7-External Outcomes and ImpactsExternal IssuesOutcomes and Impacts – PartnersOutcomes and Impacts – SuppliersOutcomes and Impacts -CustomersOutcomes and Impacts -AgenciesOutcomes and Impacts – PublicOutcomes and Impacts – Insurance CarriersThe External Impacts Are Important8-Information Technology (IT) Problems and SolutionsThe Implication for ITImplications to IT of a Modern Asset Data Management PracticeThe Advent of ERP SystemsMaster Data ManagementThe Future Part 2-Building a Sound Data Integrity Process9-Building an Enterprise-Level Data Integrity ModelHistorical ViewWhat Is an Asset?Asset ClassificationStatic Data vs. Dynamic DataThe Differences Among Assets, FunctionalLocations and Functional Location HierarchiesOther Asset-Related Master DataAsset Master Data Structure and FormattingIdeal Asset Data RepositoriesEnterprise-Level vs. Plant-Level Asset Data Integrity10-Building an Enterprise-Level Inventory Catalog Data Integrity ModelThe Model For MaterialWhat Is a Spare Part?Items ClassificationStatic Data vs. Dynamic DataIdeal Item Data RepositoriesEnterprise-Level vs. Plant-Level Item Data Integrity11-Data Integrity AssessmentData Quality Dimensions – The BeginningThe Approach to the AssessmentThe Initial StepsThe Assessment-General CommentsThe Assessment ProcessMoving Forward12-Assessment Details-Assets and Material ItemsSimilar But DifferentAssessing Asset DataAssessing Material DataData Strategy SessionTo-Be TaxonomyPrimary Data FieldsClass and SubclassManufacturer or Supplier NameAsset-Model Number or Serial NumberMaterial Items-Manufacturer or Supplier Part NumberAttribute TemplatesOther Asset Data FieldsThe Goal-Quality Data for the Future13-Asset Clean-Up and RepairAfter the AssessmentData Repair is Far from SimpleRepair ProblemsData Repair StrategiesThe Big Bang ApproachFix It As You GoThe Line in the Sand-More on SustainabilityCommitment to Doing the Work Part 3-Sustaining What You Have Created14-Data GovernanceData Governance-Insight to the ProblemShifting the BurdenThe Long Term SolutionThe Benefits of Data GovernanceThe Jobs of Data GovernanceIt’s All About Policy and ControlsRoles and ResponsibilitiesWhen Should We Start?15-Sustaining What Has Been CreatedThe Need to SustainEstablishing OwnershipCommunicationProcess and ProceduresTrainingPrepare for Data GrowthWalking the WalkQuality Control and Quality AssuranceUsing Key Performance IndicatorsThe Continuous Improvement CycleSustainability Is Not Optional16-Data Integrity Is Serious Business  BibliographyIndex