The data and analytics playbook : proven methods for governed data & analytic quality / Lowell Fryman, Collibra, USA, Gregory Lampshire, K2 Solutions, USA, Dan Meers, K2 Solutions, USA.

Format:

Book

Author/Creator:

Fryman, Lowell, author.

Lampshire, Gregory, author.

Meers, Dan, author.

Series:

Gale eBooks

Language:

English

Subjects (All):

Data protection.

Business--Data processing.

Business.

Electronic data processing--Distributed processing--Management.

Electronic data processing.

Big data.

Physical Description:

1 online resource (xxi, 269 pages) : illustrations (some color)

Edition:

1st edition

Place of Publication:

Cambridge, MA : Morgan Kaufmann, [2017]

System Details:

text file

Summary:

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

Contents:

chapter 1. Purpose, scope and audience

chapter 2. Executive call to action

how chief data officers and business sponsors can empower results

chapter 3. Assessing conditions, controls and capabilities

chapter 4. Detailed playbook activities

chapter 5. Aligning the language of business : the business glossary

chapter 6. The business data governance toolkit

chapter 7. Playbook deployment

chapter 8. Data governance as an operations process

chapter 9. Governing big data and analytics

chapter 10. Rapid playbook deployment.

Notes:

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (ebrary, viewed September 1, 2016).

ISBN:

9780128025475

0128025476

OCLC:

964534901