Tejasvi is an experienced business analyst, data management specialist as well as a software architect. He is a best-selling author of two books on data management and data risk. Moreover, Tejasvi has assisted fifteen organizations in creating business models that won data-based benefits based on custom operating models, and tailored organizational structures, while also leveraging deep-technology engineering.
Tejasvi Chandrarkar Addagada heads the data management and governance function in a fortune 500 bank with over US$20 billion in revenue, and is also the data protection officer. Tejasvi’s fifteen years of experience in managing data has been cascaded as practical literature through his two books.
Tejasvi was certified in business analysis, from International Institute of Business Analysis, and Enterprise Risk Certification from RiskPro India. Further, Tejasvi has travelled across countries and worked with multiple financial services in transforming their data landscapes.
Tejasvi is one of the earliest data privacy officers that corporations have experienced. Apart from that, he is a specialist in managing a modern data stack, with emphasis on software engineering.
As one of the early data provocateurs, Tejasvi specializes in bringing data monetization plans to reality. He is always keen to connect with organizations and practitioners with a passion to transform their business through data-based capabilities.
You can reach out to Tejasvi for a thought-share on digital and data solutions. He can share real-world examples of how he overcame challenges to create solutions for business growth or regulatory compliance.
His current responsibilities include central data operations, data engineering, big data lakes, data warehousing, data quality, metadata, data fabric, central data operations, master data management, reference data management, data governance, cloud data management, and data architecture.
Data Risk Management: Essentials to implement an Enterprise Control Environment
Brief: You must hear this often if you manage any kind of risk - risk and value go together. And that's true, of course for data! Both data and its infrastructure must be managed for their benefits and risks. The purpose of the book is to elaborate on this need to formalize data risk management.
Today, regulations drive enterprises to assess data related risks. Prioritizing and managing data associated with financial or operational risk has been the corner-stone of most regulations like BCBS, CCAR, GDPR to name a few. Nevertheless, data risks can extend beyond regulations to improve existing control environments in companies. By doing so, we will maximize the potential of data capabilities to reach 100%. Through structural alignment within the board and formalizing a data-risk function, the book focuses on managing data risks. Furthermore, the book explains quantitative and qualitative approaches to data risk assessments along with popular tools and techniques.
Also, Tejasvi discusses a proven approach to managing data risks called capability-based assessment. As a technique, this can also be applied to data risk planning and formulating a data risk strategy. Twenty data risks and privacy risks are provided in this book by way of examples. These are accompanied by details such as a risk statements, scenarios, causes, and categories of impact if the data risks are to manifest.
Publisher: Blue Rose Publishers
Publication date: 6 July 2022
• Raghavendra Chinhalli, Vice President, Digital Transformation & Solutions Delivery Services, Ocwen Financial solutions
• Arunprakash Asokan, Senior Manager - Security Operations, Unilever
Data Management and Governance Services: Simple and Effective Approaches
Brief: Organizations across industries are embracing data management and governance practices, primarily driven by regulation and service excellence. While it is equally important to set up a data office, it is also crucial to ensure sustainability of the function. Also, data governance is a pervasive enabler that supports a firm's corporate governance principles. The book highlights how an Enterprise can:
• Overcome challenges in data offices today
• Analyze existing data management strategy and capabilities to traverse maturity
• Set up metadata and data quality management as services and successfully operationalize them
• Formalize governance as a function through an operating model, based on its enabling culture
• Define a benefits realization model to assess and monitor the value of managing and governing data
Publisher: Amazon KDP
Publication date: 22 June 2017
• Mark McQueen, Managing Partner and data strategy expert, Ortecha ltd
• Ramesh Dontha, Dean's Advisory Board Member