Banking is a data-driven business. Surviving in this hyper connected society with ever increasing regulatory requirements, frauds, data security concerns, inefficient IT systems – its critical banks have the right technology architecture. From AI and ML to integrate massive volumes of big data from wide range of sources that enable real time analytics to stay ahead of competition.
We’ve been working with Banks since the day we started. Over the years we’ve gained lots of insights and experience in delivering positive business and technological change for some of the world’s leading banks.
Scale of Early Detection of Fraud Improved by
Better adaption to New Fraud Threats
Document processing time reduced from 4hrs to
Accuracy in extracting data
Capable of processing
Different bank statements
Reduction in Processing Time
Applications Processed per Day
Reduction in Manual FTE
Our client had been collecting data in different data bases and in different formats. There was no data mart – for analysis and reporting – business analysts had huge dependency on database manager to create monthly reports and the data validation was carried out manually.
We build a template for standardized reporting on all required business metrics based upon data pulled out from the DataMart. The entire reporting mechanism was automated and standardized.
Reports Available With in
4 hrs
of data being loaded
Removed Person Dependency
of data being loaded
Empowered Analytics Team
with Technical Skills
Definitive Road-map
Implementation of Structured/unstructured Data
Reduce Time-line
For Big Data Implementation
Realized Big-data Solution at a low cost
Our client, the largest public Sector bank in India with $47.5 Bn in revenue, was swamped with an avalanche of data coming in from varied data sources. The bank realized the need to mobilize and manage data – to ensure it meets all privacy, compliance, regulatory requirements and at the same time enhance customer experience.
As part of a company-wide digital transformation effort, the client engaged Quadratyx to established business requirements and prepare RFP/Tender documents for robust Big Data solution implementation.
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