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You are here:  Home  >  Articles by Tejasvi Addagada
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Design Thinking to Put a Governance Model that Doesn’t Fail

By   /  August 7, 2018  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Governance & Data Quality | News & Articles, Data Governance Blogs, Enterprise Information Management, Information Management Blogs  /  No Comments

Click to learn more about author Tejasvi Addagada. Fully understand the problem – The generalized challenges that Chief Data Office (CDO) face today, are a good starting point to understand the deeper problem. If an existing Governance Model does not seem to work, it is better to start understanding the core beliefs and values in the […]

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Standardizing Data Management and Data Governance Services (A Second Look)

By   /  October 2, 2017  /  Big Data Blogs, Big Data News, Articles, & Education, Data Blogs | Information From Enterprise Leaders, Data Education, Data Governance & Data Quality | News & Articles, Data Governance Blogs, Enterprise Information Management, Information Management Blogs  /  No Comments

Click to learn more about author Tejasvi Addagada. To read the first part of this series click here. A well-defined Operating Model plays a vital role in achieving expected business benefits. Embarking on a Data Governance journey in an enterprise that spans divisions, geographies, and diverse stakeholders requires a good understanding of how various nuances of […]

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Standardizing Data Management and Data Governance Services (A First Look)

By   /  September 5, 2017  /  Big Data Blogs, Big Data News, Articles, & Education, Data Blogs | Information From Enterprise Leaders, Data Education, Data Governance & Data Quality | News & Articles, Data Governance Blogs, Enterprise Information Management, Information Management Blogs  /  No Comments

Click to learn more about author Tejasvi Addagada. The needs of organizations mostly financial services and health care providers are seeing an increased necessity to manage the data as an Enterprise asset, as regulations and policy around data are quickly evolving. Although regulation is one of the primary drivers, firms have started to appreciate the importance […]

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Defining a Data Risk Strategy for an Organization

By   /  March 15, 2017  /  Data Blogs | Information From Enterprise Leaders, Data Governance & Data Quality | News & Articles, Data Governance Blogs, Enterprise Information Management, Information Management Blogs  /  No Comments

Click to learn more about author Tejasvi Addagada. Why Defining a Data Risk Strategy is Crucial? Risk and Value are two sides of the same coin. Value realization along with benefits management is vital to appreciate the strategic goals of an organization. A balance between realization of these benefits along with effective management of Risk is required to enable these benefits. How about […]

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Data Privacy Management – Service Setup and Alignment with Governance

By   /  November 21, 2016  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Governance & Data Quality | News & Articles, Data Governance Blogs, Data Strategy Blogs, Data Strategy News, Articles, & Education, Enterprise Information Management, Information Management Blogs  /  No Comments

Click here to learn more about author Tejasvi Addagada. Most organizations have grown in-organically over the past few years with mergers and acquisitions where planning for data, lacked the focus. Moreover, there is no account on the growing private information that is collected, or was collected from customers, employees and third parties. Most of this […]

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Governing Data Architecture to Achieve Success

By   /  June 24, 2016  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Governance & Data Quality | News & Articles, Data Governance Blogs, Data Strategy Blogs, Data Strategy News, Articles, & Education, Enterprise Information Management, Information Management Blogs, Uncategorized  /  No Comments

Click here to learn more about author Tejasvi Addagada. The challenges of efficiently managing data are significant in today’s in-organic data landscapes. In these landscapes, we can see many legacy data stores and processes that are yet to be discovered along with the data that they produce, distribute and apply. There are many political and […]

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