finance hero image.png

Build an inclusive financial ecosystem with data-driven capabilities.

The financial sector is considered one of the most data-intensive industries in the global economy. There is a huge amount of data involved in banks such as KYC information, ATM deposits data, online transaction data, sales data, and much more. Therefore, a new data analytics approach becomes necessary in the financial sector.  

Importance of Data Analytics in the Financial Sector

The financial sector creates a lot of data. We now have more information and data than we had before. Finance digitization has enabled several advanced technologies such as AI, analytics, machine learning, cloud, and big data. Various companies are adopting these advanced technologies to accomplish digital transformation.


Our services can improve your financial business


We, at Derisk360, build new finance digitization to drive fundamental change in the financial sector. If you are looking for highly skilled professionals like risk management, auditors, accounting, data analytics professionals, and many more, We have finance professionals across the globe. We help our customers to build large-scale businesses by providing technical support in executing targeted plans.


Our data analytics approach transforms raw data into meaningful insights which further make better investment decisions. 

2.Data Strategy

We solve your business problems by creating advanced data strategy financial sector models with streamlined operations. We identify your future markets and the ideal regions for additional investments on time. 

3.Data Management

Our advanced data management technology in the finance sector builds business strategies to meet customer’s demands. 

4.Data Exploitation

Insurers can examine the risk profiles of their applicants in considerably greater depth thanks to data analytics, which will result in better-informed underwriting decisions and premium calculations that are more accurately aligned with the associated levels of risk. 

5.Machine Learning/AI

Our machine learning approach enabled secured solutions for the finance sector. We increase revenue with advanced ML/AI approach.

6.Performance Improvement

We create one-to-one intelligence conversations to enhance customer experiences. 

Latest Blogs


GDPR Principles

2 Apr 2017

Under the GDPR, the data protection principles set out the main responsibilities for organisations. The principles are similar to those...



4 Apr 2017

The General Data Protection Regulation ( GDPR) (Regulation (EU) 2016/679) is a regulation by which the European Parliament, the European...


Zero-Based Data (ZBD)

13 Aug 2018

Just as Zero-Based Budgeting (ZBB) is re-emerging as the efficient process for allocating and provisioning funding, Zero-Based Data (ZBD)...