Data Platforms: The Key to Unlocking Digital Transformation in Finance

Anuj Sen
4 min readApr 13, 2023


Photo by Joshua Sortino on Unsplash


In today’s rapidly changing financial services industry, staying ahead of the competition and meeting the demands of tech-savvy customers is crucial. To achieve this, financial institutions need to leverage modern data platforms, which offer valuable insights into customer behavior, streamline operations, and make sense of vast amounts of data. The use of data platforms is essential for digital transformation in finance, allowing companies to make better-informed decisions and stay ahead of the curve. By implementing data platforms, financial institutions can gain a competitive edge and meet the needs of their customers more effectively.

Rapidly evolving financial landscape, financial institution and financial services require modern and integrated data solutions to manage the ever-increasing amount of data, whether it’s structured, semi-structured, or unstructured. To remain competitive and drive growth, Organisations need to embrace a data-driven approach and modernize their data architecture to provide flexible and efficient data services for both small and large-scale data. By adopting modern data platforms, financial institutions can better manage and leverage their data assets, gaining valuable insights and optimising their operations.

The Importance of Data Platforms in Finance

In the finance industry, data platforms are critical software tools that facilitate the collection, storage, and analysis of large amounts of data from various sources. Data platforms play an essential role in finance for several reasons

Improved forecasting and risk analysis:
Traditional storage architectures are not suitable for quick analysis, requiring modern data platforms to support sub-second analysis and decision-making, improving forecasting and risk analysis.

Enhanced Risk Management:
Data platforms can help financial institutions improve risk management by providing a wealth of data that can be analyzed for patterns and trends, resulting in more accurate risk models and informed investment decisions.

Customer Experience
Data platforms enable financial institutions to collect and analyze customer behavior data to tailor their products and services to meet their customers’ needs, resulting in better customer experience, satisfaction, and loyalty.

Compliance and Regulatory Requirements
Data platforms can help financial institutions meet compliance and regulatory requirements by providing tools for monitoring and reporting on operations, including tracking financial transactions, monitoring for fraud, and ensuring data privacy. This is essential in a heavily regulated industry where compliance is a top priority.

Data platforms provide financial institutions with innovative tools to collect and analyse data, enabling the development of new products and services, leading to differentiation from competitors, and staying ahead in a constantly evolving finance industry.

Requirements to create Data platform

Tailored to Suit the Requirements:Build a modern data architecture or platform that can handle various data types and processing patterns, and is tailored to meet your current architecture needs. This will enable your organisation to leverage different data sources and capitalize on emerging opportunities in the information management space.

Unified :includes the need for a centralised and standardised data management system that provides a single source of truth for all data across the organisation. This requires robust data integration capabilities to combine data from various sources into a single data repository, as well as the ability to process and analyse data efficiently and accurately to derive meaningful insights. The platform should also be scalable and flexible to accommodate future growth and changing business needs.

Business centric : To ensure the success of modern data solutions, it is essential to align them with your organisations vision and priorities. serving all business use case complexity with efficiency is key. Aligning initiative plans with business requirements and considerations can help prove the value of modern data architecture and larger strategic initiatives on the roadmap.

Implementing Cloud first Modern Data Platform:

Modern Data Platform is a place to facilitate all data activity involving various users like Data Engineer, Data Analyst, Data Scientist. Data Platform can be implemented using on-premis , Cloud or Hybrid infrastructure. AWS, Azure and GCP is major cloud provider in market. Organisation may use single or multi cloud as per there need.

Gartner : “Most organisations adopt a multi-cloud strategy out of a desire to avoid vendor lock-in or to take advantage of best-of-breed solutions”

As data platform involved many services and complex settings including network, resource access e.t.c it is good practice to use Infrastructure As Code (IaC) to build and maintain data platform.

implementing a cloud-first modern data platform in finance requires careful planning and consideration of various factors. The platform should be scalable, secure, and compliant with regulatory requirements. It should also support various data processing, data governance, and data analytics technologies.


In summary, data platforms are essential for digital transformation in finance as they allow financial institutions to use data insights for informed decision-making and personalised customer experiences. Although implementing data platforms requires significant investment and consideration of ethical implications, the benefits are clear in terms of staying competitive and delivering better outcomes for customers. Hence, financial institutions must prioritise the adoption of data platforms as a crucial component of their digital transformation strategy.

Need Help:

If you are facing any challenges to setting up data platform or want to standardise your Data platform feel free to reach out us @culebre .

If you want to know more technical details on how you can set up a platform using Azure and Databricks please read here .