Tejasvi Addagada
Accolade: Blog group founder

Tejasvi Addagada

Data Governance Head at Fortune 500 financial service provider
Message Message me Posts: 26 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.


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...

Data Management and Governance

What does it take to Monetize data in your organization for improved benefits?

18 Jul 2021

Most banks are experiencing an upward curve in In-directly monetizating data to increase revenue. This involves analyzing the existing data trove and revealing insights that can improve the organization's business performance. The outcomes can be customer trust, satisfaction, reducing anxiety of customers while the benefit can be increase in reven...


Data Management and Governance

Aspects of data quality, an Artificial Intelligence unit has to focus on for better outcomes

04 Jul 2021

Clean Data is a crucial need to get an outcome from Machine Learning models. Often much time to the tune of 40% is spent on understanding and cleaning data before modeling and providing an outcome. Scale and diversity in data is also another important aspect while planning for a model. How accurate is the data to give a usable outcome – is a major ...

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