Case Study

Global S&P Ratings Provider Achieves 100% Data Accuracy

Global S&P Ratings Provider Achieves 100% Data Accuracy

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Challenges This analytics and research firm wanted to aggregate data in real time. The process included taking inputs from multiple sources such as websites and documents and converting them into meaningful insights. It struggled with the sheer volume and diversity of data sources, which impacted the scale of operations. The business goal was to analyse global market trends and provide specific insight reports within a limited period of time, in order to provide value to customers. Global S&P Ratings Provider Achieves 100% Data Accuracy Product QueenBOT RPA Process Automated Retrieval and Aggregation of Data from Multiple Sources Industry Financial Services The AntWorks Solution QueenBOT RPA is used to develop a rapidly scalable digital workforce. In 12 weeks, BOTs were in productio

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