60% Effort Savings, 3x Faster for a Fortune 50 Bank

Challenges

A Fortune 50 financial services client needed to ensure it had accurate, reliable, and high-quality data to make well-informed decisions, wanting to enhance decision-making, risk management, and operational efficiency across the business. The problem was that the data underneath those decisions couldn’t be trusted the way it needed to be. The client’s data was stored in multiple silos, making it difficult to access and analyze as a whole, and even when accessed, it was often inaccurate, incomplete, and inconsistent. Many of the client’s data management processes were still manual, which made them time-consuming and prone to exactly the kind of errors the business was trying to eliminate. For an institution operating at Fortune 50 scale, that combination of fragmented, unreliable, and manually managed data wasn’t just an inconvenience, it was a real constraint on how confidently the business could act.

Solution

  • An AI-Powered Data Analyzer and Validator

    Ascendion recommended an AI-powered data analyzer and validator solution to address the client’s challenges, using AI bots to automate data analysis and validation processes, identifying and fixing errors, inconsistencies, and irrelevant data points automatically rather than relying on manual review. 

  • Surfacing Insights Manual Review Could Never Catch

    The AI bots could also uncover critical patterns and insights, analyzing large volumes of data to identify patterns that would be difficult or impossible to find manually. The AI-powered data analyzer and validator solution used a variety of AI technologies, including machine learning, natural language processing, and deep learning, to bring both accuracy and genuine intelligence to the client’s data foundation. 

Tech Stack:

Machine Learning Natural Language Processing Deep Learning

Business Impact

Improved data accuracy and reliability, as the AI bots helped identify and fix errors, inconsistencies, and irrelevant data points.

Increased operational efficiency by automating many of the client's manual data management processes.

Enabled more informed decision-making by helping the client uncover critical patterns and insights in their data.

Delivered 60% effort savings in data analysis and fixes, in real time.

Achieved 3x faster time to market with high-quality data.