Optimizing data-to-learning-to-action : the modern approach to continuous performance improvement for businesses /: the modern approach to continuous performance improvement for businesses. (2018)

• Record Type: Book
• Further Information: Note: Steven Flinn.
• Authors: Flinn, Steven
• Contents: Intro; Contents; About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Case for Action; The Economic Imperative; Disruptive Technologies; Cloud Computing; Internet of Things; Big Data and Business Intelligence; Machine Learning/AI; Enterprise Collaboration; The Combinatorial Effect; The Confusion; Why Have Legacy Approaches Come up Short?; The Case for Data-to-Learning-to-Action; Summary; Chapter 2: Roots of a New Approach; Root 1: Process Improvement; Root II: Theory of Constraints; Root III: Decision Science; The Emergence of the New Approach; Summary. Chapter 3: Data-to-Learning-to-ActionElements of the Chain; Data Acquisition; Data Filtering; Information Management; The Architecture of Learning; Anticipatory Computing; Neural Networks; Information, Knowledge, and Learning; Search and Discovery; Predictive Analytics; Process and Collaborate; Decide and Act; Summary; Chapter 4: Tech Stuff and Where It Fits; General-Purpose Applications; Document and Content Management; Business Intelligence; Enterprise Social Networks; Function-Specific Applications; R & D: High-Throughput Experimentation Technologies. Sales and Marketing: Marketing AnalyticsSales and Marketing: Customer Relationship Management; Supply and Manufacturing: Supply Chain Management; Human Resources: Talent Management; Summary; Chapter 5: Reversing the Flow: Decision-to-Data; Value Drivers; Decisions, Decisions; Working Backward; Constraints on Value; Resolving Constraints; Summary; Chapter 6: Quantifying the Value; Value of Learning; Calculating Learning Value; Encoding Uncertainties; Value of Learning with Perfect Predictability; Value of Learning with Imperfect Predictability; Modeling Refinements; Learning Value Modeling. Alternative Modeling PerspectivesThe Bayesian Approach; Summary; Chapter 7: Total Value; Total Value; Business-Renewal Lifecycle; Optimizing Total Value; Retrospective Value; Summary; Chapter 8: Optimizing Learning Throughput; Additional Strategies; Parallel Versus Sequential Debottlenecking; Learning Synergies; Constraint Look-ahead; Anticipated Capabilities; Rationalizing to the Limiting Constraint; Full Method Overview; Summary; Chapter 9: Patterns of Learning Constraints and Solutions; Determining the Value; Process and Collaborate Constraints; Predictive Analytics Constraints. Search and Discovery ConstraintsInformation Management Constraints; Data Filtering Constraints; Data Acquisition Constraints; Summary; Chapter 10: Organizing for Data-to-Learning-to-Action Success; Scoping the Project; Gaining Executive Buy-in; Organizing the Initiative; Dedicated Resources; Phasing an Individual Project; Change Management: What's in It for Me?; Measuring Success; Skeptics to Champions; We already do that . . .; It's too much work . . .; It doesn't apply to the creative parts of the organization ...
• Publisher Details: United States : Apress
• Publication Date: 2018
• Copyright Date: 2018
• Extent: 1 online resource
• Subjects: 658/.05; Computer science; Decision making -- Data processing; Machine learning; Management information systems; BUSINESS & ECONOMICS -- Industrial Management; BUSINESS & ECONOMICS -- Management; BUSINESS & ECONOMICS -- Management Science; BUSINESS & ECONOMICS -- Organizational Behavior; Decision making -- Data processing; Machine learning; Management information systems; Computers -- Software Development & Engineering -- General; Software Engineering; Big data; Software engineering; Computers -- Database Management -- General; Databases; Electronic book; Electronic books
• Languages: English
• ISBNs: 9781484235317; 1484235312
• Related ISBNs: 9781484235300; 1484235304
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed April 12, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.