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PwC UK is partnering with Quantexa, a leading data and analytics software company, to transform how their clients use, understand and trust their data helping them make quicker and more informed decisions to protect, optimise, and grow.
The firm will be working with Quantexa’s Decision Intelligence (DI) platform to give its clients the ability to understand their data by connecting siloed systems and visualising complex relationships. The result is a single view of data that becomes their most trusted and reusable resource across the organisation.
In addition, by having Quantexa’s DI platform installed across PwC UK infrastructure, the firm is able to bring together multiple sources of third party data on UK companies. This will allow PwC UK to provide insights to its clients on their customers, which can then support their own data analytics.
PwC UK and Quantexa are already working together across a wide range of industries from consumer markets and financial services, to government and telco.
Scott Samme, financial services partner, PwC UK said: “I am very excited that PwC UK will be joining forces with Quantexa to help our clients move from strength to strength. Supporting our clients on their journey to become a data-driven organisation means embracing automated decision-making as an integral part of everyday operations.
“PwC UK will be leveraging the latest technology and AI alongside Quantexa to give our clients a 360 degree view of the companies they are doing business with and how they are connected to them. This includes how to slow down or prevent fraud, enforce compliance, investigate criminal activities, dispense benefit funds, secure borders, identify fraudulent activities, assure compliance, accelerate revenue growth, enhance customer experience, and more. Comprehending these challenges is daunting and costly.”
Samme concluded: “By instituting a unified, integrated, and dynamic view of confirmed entities and networks, these challenges can be tackled with greater speed and accuracy, higher performance, and at scale.”
