Fintech thought leaders from Mumbai to decode the ‘datanomics’ of extracting untapped value from data

By Ryan Frantz
November 30, 2022, Updated on : Thu Dec 01 2022 05:21:21 GMT+0000
Fintech thought leaders from Mumbai to decode the ‘datanomics’ of extracting untapped value from data
At a specially curated closed-door roundtable in Mumbai, together with Snowflake and Blazeclan, YourStory is bringing together fintech thought leaders to deliberate on the Data Cloud and how to extract untapped value from data.
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With the highest fintech adoption rates in the world, fintech in India has entered a new era. The promising Indian fintech market is expected to reach $1 trillion in throughput and $200 billion in revenue by 2030 according to a report by EY and Chirate Ventures.


Fintech is also one of the most data-intensive sectors. Its growth is being powered by two dimensions of data – the availability of affordable data plans and the large sets of customer data in the country. Every day, market data, transaction data, customer data, and reference data inform critical investing, trading and risk decisions. All within an ever-changing landscape of inflationary pressures, market volatility and regulatory demands.

Data strategies and emerging tools for efficiencies at scale

Fintech in rapid-scale mode may have started on their data journeys but often struggle to break through the hype and fit the disparate parts of the data puzzle together to deliver the digital success they hoped for.


For many fintech players, siloed records and technology architectures can be cumbersome. Along with competing data models, security, and governance challenges, this can limit the data’s full potential.


To help fintech players better understand the nuances of data and explore how growth mode scale-ups can improve their data posture and leverage modern and emerging tools for efficiencies at scale, YourStory is hosting a specially curated closed-door roundtable on December 2, 2022 in Mumbai, together with Snowflake and Blazeclan.

A wealth of fintech and data thought leaders

The roundtable will bring together industry thought leaders to deliberate on the Data Cloud and how to extract untapped value from data. It hopes to table key areas of impact for fintech scale-ups including the data economy and what it means in the context of fintech players, evaluating data postures, creating a data culture, developer-friendly data strategies, fintech data playbooks, data and Bharat, emerging data innovations, monetizing data, and more.

The Data Cloud and extracting untapped value from data

Snowflake is a data innovator that’s leading the way in helping asset management, payment, banking, and insurance sectors fully mobilise data to enable data-driven decision-making and achieve successful business outcomes.


At the roundtable, Mehul Patel, Regional Sales Director - West India at Snowflake will bring board insights on scaling multiple workloads across different lines of business, data access and collaboration, security and governance capabilities. He will also talk about leveraging the interconnected global ecosystem to unlock better value from data at scale and also enable business-critical workflows for fintech players.

Accelerate time to value and achieve significant business impact

Blazeclan's aim is to bring the power of the cloud to organisations for accelerating their time to value and achieve significant business impact. The company is on a revolutionary path of leading excellence on cloud; by offering robust yet dynamic cloud technology to leverage our capabilities of providing business flexibility, reduced operational costs, decreased time to market, and the security and scalability of workloads.


Veeraj Thaploo, the Co-founder and CTO of BlazeClan together with Vishwanathan Chandran, the CSU Head of Data Analytics and Insight at Blazeclan will share insights on how to leverage your complex data with data science to make the next giant leap in your data and analytics maturity. They will speak about acting small while thinking big and achieving results that were previously labelled as ‘difficult'.

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