Sunil SoareS is Director of Data Governance within IBM Software Group.
He works with a team of more than 200 industry consultants to help IBM’s
top clients build out their Data Governance programs. Sunil has helped more
than 100 clients across multiple industries—including banking, insurance,
life sciences, manufacturing, healthcare, retail, telecommunications, and
government—assess their Data Governance maturity and determine the
appropriate processes and tools to move forward.
Prior to his current role, Sunil was Director of Worldwide Channels and Alliances for
InfoSphere within IBM Software Group, where he worked with a number of partners on their
Data Governance practices. Before joining IBM, he worked in the Financial Services Strategy
Consulting Practice of Booz Allen & Hamilton in New York. Sunil holds an MBA in Finance and
Marketing from the University of Chicago’s Booth School of Business. He lives in New Jersey.
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THE IBM DATA GOVERNANCE UNIFIED PROCESS
THE IBM
DATA GOVERNANCE
UNIFIED PROCESS
Driving Business Value with IBM Software and Best Practices
Data Governance has become an industry buzzword, but it means different things to different people.
The definition of Data Governance is similar to the tale of the blind men and the elephant. Depending
on their background and business situation, practitioners tend to equate Data Governance with one
or more of metadata, business glossaries, Master Data Governance, Analytics Governance, Security
and Privacy, and Information Lifecycle Governance. All these definitions are correct but they are
incomplete. Data Governance is the discipline of treating data as an enterprise asset. It involves the
exercise of decision rights to optimize, secure, and leverage data as an enterprise asset.
Several Data Governance initiatives start and stop with a maturity assessment. So you’ve
discovered that you are relatively immature; now what do you do next? What are the steps to
implement a Data Governance program? This book describes a unified process targeted at Data
Governance practitioners. It provides a rigorous explanation of the 14 steps and almost 100 sub-steps
to implement Data Governance based on IBM products, services, and best practices over hundreds of
client engagements.
Any practitioner who has implemented, or is looking to implement, a Data Governance program
within their organization should read this book. It includes examples from different industries, job
functions, and geographies. And regardless of the maturity level of Data Governance within your
organization, there is something in here for you.
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资源评论
市井牛虻2019-01-28英文文档，了解数据治理的必读书目之一
eagle*man2020-08-12挺不错，好书，先学习
lih832019-09-12内容与标题一致，值得一看。
