Latest opinions that Tejasvi Addagada has shared on Finextra

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Tejasvi Addagada

Enterprise Data Head

Fortune 500 financial service provider

Member since

02 Sep 2014

Location

Mumbai

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Tejasvi's opinions

A culture of accountability from within - Promotes data privacy and protection for customers

It's natural to take a risk-based approach to data privacy. However, I believe approaching privacy through a benefits-based approach has its own merits. Moreover, by managing customer privacy, there is significant business value derived from the resulting customer confidence and trust in the relationship: At the outset, data privacy management ena...

04 April 2021 /people /sustainable Banking Strategy, Digital and Transformation

Ten Financial Services use-cases of Catalog, Glossary and Metadata

Banks and Financial institutions are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel. However, as the tool-stack in most organizations is being...

28 February 2021 /sustainable /cloud Analytics in Banking

Three 2021 trends in data governance, for firms, to bolster digital transformation and sustain

In 2021, the focus of financial services will be inclined to enable digital customer journeys as well as to sustain and grow revenue streams. Actively governing data will make managing it more formalized thus making it more available, less complex to understand, and protect the customers' data rights. Three principles and associated formalized dime...

03 January 2021 /people /predictions Artificial Intelligence and Financial Services

Artificial Intelligence in Data Privacy and Protection can increase customer trust

The development of Artificial Intelligence and Data Protection domains are largely dependent on the economic and societal needs. While Artificial Intelligence develops better customer services by wrangling trillions of BigData and learning from it, data protection is poised to build trust in people to share data with Organizations. A recent surve...

09 August 2020 /regulation /retail Artificial Intelligence and Financial Services

In Financial Services, can we measure Accuracy of Customer Data with Artificial Intelligence?

Accuracy measures the degree to which data represents the real-world entity in this case a person, organization, or Source from where we know it has originated. Measuring data quality is possible if the characteristics of its physical and contextual existence are well understood. These characteristics of data can be translated into data quality rul...

02 August 2020 /regulation /identity Analytics in Banking

BigData Lake for Financial Services - Need to stress on Platform Governance

As Banks and Insurance firms have already embraced Data Lakes for their Artificial Intelligence and Machine learning capabilities, it is important to look for continuous Return on Investment on the platform. If a Data Lake is not well maintained, it can turn into a swamp while finding usable data can confuse the data consumers. Most challenges can ...

26 July 2020 /sustainable /devops Analytics in Banking

Ten steps to a maturity assessment driven Data Strategy, for your Bank

Here are ten steps to defining a data strategy based on a data capability maturity assessment, for a Financial Institution Identify and Simplify Maturity models, and customize the yardstick as well as benchmarks based on local study and future organization strategy Conduct workshop with leaders and grassroots to sensitize the assessment and questi...

19 April 2020 /regulation /retail Data Management 101

Agile Data Governance can asist Banks, by maximizing data management benefits

Now, with Most of us managing and Governing data from distributed locations and with remote workforce (specially from homes); are we moving away from past apprehensions that Data Governance can happen only when planned & co-located? It's possible to say today that – 1. Data Governance can be change-driven, with bursts of iterative outcomes 2. W...

07 April 2020 /sustainable /covid-19 Data Management and Governance

How can Banks can leverage Agile Data Governance for better outcomes

Now, with most data offices Governing data from distributed locations (especially from homes); are we moving away from past apprehensions that Data Governance can happen only when planned and co-located? It's possible to say - 1. Data Governance can be change-driven, with bursts of iterative outcomes 2. We can in-fact govern data in an agile way ...

04 April 2020 /retail /sustainable Data Management and Governance

Data Offices assist in Kick-starting rapid shifts in Digital Banking

Slowly yet steadily, Banks are seeing customers (including ourselves) picking up services that have distinct digital capabilities. The mechanics of customer interaction has rapidly shifted from physical handshakes to virtual yet warm communication over personal & extended channels. However, managing Data Quality of customer data along with Z...

03 April 2020 /sustainable /covid-19 Data Management and Governance

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