Tejasvi Addagada
Accolade: Blog group founder

Tejasvi Addagada

Data Governance Head at Fortune 500 financial service provider
Message Message me Posts: 28 Comments: 8
Bio Tejasvi Addagada is a data practitioner and consultant assisting fortune 500 firms. He helps to build and optimize data management and governance solutions. Tej provides a wide range of services including data strategy, risk management, app service rationalization, digital transformation and process excellence. He also currently heads the data management and governance operations of a major financial institution. Tejasvi published his latest book, Data Management and Governance Services: Simple and Effective Approaches in 2017, and held pre-booking records in this space. Apart from that, he is an abstract painter and also likes to spend time with family. Career History Tejasvi has worked with the top ten major global financial service providers by providing a wide range of services including strategy analysis, data analysis & architecture, service rationalization, digital transformation and process excellence.

Blogs

Bigger than Technology

Are you confident in the quality of your data and its impact on your generative AI model insights?

17 h

The world of banking and financial services is abuzz with the potential of generative AI. It's a game-changer that can revolutionize customer service, boost revenue, and streamline operations. But with great power comes great responsibility - and a whole lot of regulatory challenges. We need a legal framework that balances market safety, consumer ...

Data Management and Governance

Does data risk need to be managed actively through a data risk function?

09 Dec 2022

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. In sectors like Banking, regulations drive enterprises to assess data related risks. Prioritizing and managing data associated with financial or op...

Data Management and Governance

Managing Data Quality is important to the success of digital driven Financial services

03 Apr 2022

Data is increasingly valued as an asset for companies, so ensuring that data is of high quality is imperative. Progressively, in the world of IoT, we are seeing machines make decisions. These decisions either provide insights into what's most beneficial for customers or reduce their service-relationship anxiety. In order for machine learning model...

Banking Strategy, Digital and Transformation

Democratizing data and thus credit to Citizens - Account Aggregator network

04 Sep 2021

Democratizing data for customers through responsible sharing will actually democratize credit for people in the financial ecosystem. As a part of India stack, the Account Aggregator (AA) network is based on a mix of frameworks Open Credit Enablement Network (OCEN) and The Data Empowerment and Protection Architecture (DEPA). Today, in financial in...

Tejasvi is Commenting on

A new perspective on the potential of data

  Nice perspective. In most organizations today; data is considered an Enterprise asset. It is no surprise if we see the value of data included in the balance sheets of business. Regulations like BCBS 239, GDPR, EU No 1024/2013, EMIR, MiFID2, as you rightly stated are the primary drivers that created a need to manage risks and value arising from data and its operations. Though, other drivers that are necessitating the needs include strategy changes, business model changes, and advancements in technology. I don’t see any specific time when cost cutting should be triggered. In my view cost optimization is an ongoing enabler in any organization. The existence of Data Governance and Data Risk management functions either centralized or distributed, based on the organization need, will help in realizing the complete value of data. This will further assist in simplifying the data landscape while rationalizing it, thus reducing operating costs associated with data operations and data related issues. This also enables new business discovery. My final thought is that Business should own their data, the value it creates and the loss related to its risks. Organizations should enable, empower and enforce data driven culture, responsibilities and accountabilities of data ownership to make your thoughts feasible. For further reading, you can refer http://dataassociation.net/dablog/call-it-a-success-by-integrating-risk-management-into-your-data-governance