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The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality
The Data and Analytics 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
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
274 pages, Kindle Edition
Published August 12, 2016
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March 18, 2018
Similar to the other Data Governance books I've read, this one is also very verbose, staying away from concrete use cases, littering pages with hypothetical situations and executive summary type of snapshots from data governance implementations.
Nevertheless, this one is at least more up to date, and a bit easier to follow. Pages and pages of action items are presented in a logical (and somewhat overwhelming) order, without providing a detailed example of what an end result would like, but still I consider this book's style slightly more digestible without sacrificing details.
The book also briefly mentions big data related issues but in a very superficial manner, so you'll definitely need to rely on other sources.
The part on Business Glossary is very detailed and provides a thorough overview of building a business glossary, and even is brave enough to mention the concept of 'ontology'. It is also good the relevant standards are shown, so that the reader can know where to turn to for precise definitions. The fact that authors have dedicated 20 pages to this topic shows how important they consider this aspect of data governance.
If you are a practicing Data Officer or head of analytics, this book belongs in your bookshelf, and on your desk, to be referenced regularly, so that you can internalize the concepts and the lessons it shows. Also, when faced with various challenges in the intersection of business and IT, a second or third reading of some of the chapters might as well be useful.
Nevertheless, this one is at least more up to date, and a bit easier to follow. Pages and pages of action items are presented in a logical (and somewhat overwhelming) order, without providing a detailed example of what an end result would like, but still I consider this book's style slightly more digestible without sacrificing details.
The book also briefly mentions big data related issues but in a very superficial manner, so you'll definitely need to rely on other sources.
The part on Business Glossary is very detailed and provides a thorough overview of building a business glossary, and even is brave enough to mention the concept of 'ontology'. It is also good the relevant standards are shown, so that the reader can know where to turn to for precise definitions. The fact that authors have dedicated 20 pages to this topic shows how important they consider this aspect of data governance.
If you are a practicing Data Officer or head of analytics, this book belongs in your bookshelf, and on your desk, to be referenced regularly, so that you can internalize the concepts and the lessons it shows. Also, when faced with various challenges in the intersection of business and IT, a second or third reading of some of the chapters might as well be useful.
Displaying 1 of 1 review