The Data and Analytics Playbook

Proven Methods for Governed Data and Analytic Quality

Nonfiction, Computers, Advanced Computing, Management Information Systems, Database Management, General Computing
Cover of the book The Data and Analytics Playbook by Lowell Fryman, Gregory Lampshire, Dan Meers, Elsevier Science
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Author: Lowell Fryman, Gregory Lampshire, Dan Meers ISBN: 9780128025475
Publisher: Elsevier Science Publication: August 12, 2016
Imprint: Morgan Kaufmann Language: English
Author: Lowell Fryman, Gregory Lampshire, Dan Meers
ISBN: 9780128025475
Publisher: Elsevier Science
Publication: August 12, 2016
Imprint: Morgan Kaufmann
Language: English

The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration.

The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it.

In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization.

  • Provides a mature and proven playbook approach (methodology) to enabling data governance that supports agile implementation
  • Features specific examples of current industry challenges in enterprise risk management, including anti-money laundering and fraud prevention
  • Describes business benefit measures and funding approaches using exposure based cost models that augment risk models for cost avoidance analysis and accelerated delivery approaches using data integration sprints for application, integration, and information delivery success
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The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration.

The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it.

In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization.

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