Insurance and Banking Analytics
Create innovative solutions for customers using advanced data analytics and new technology
Create innovative solutions for customers using advanced data analytics and new technology
Like all progressive industries, insurance and banking organisations want to increase the competitive advantage by gaining key insight across their operations. As the world becomes more volatile, uncertain and complex, insurance and banking organisations are forced to rethink their digital transformation strategy.
Increasing demands from clients, among other things, are further compounding challenges and forcing the adoption of new technologies. What’s more, regulatory compliance and clients’ expectations of consumer-grade experience within applications, such as self-service analytics, are forcing the industry to innovate further.
Legacy infrastructure, disconnected data silos and a lack of knowledge of the value of analytics are the primary obstacles to innovation and progress for the insurance and banking sector. The new International Financial Reporting Standard (IFRS) is also changing the way insurers’ and banks’ financials are measured and reported on.
To achieve compliance, insurers and banks need to update their systems, adopt new processes and improve integration between departments. Accounting processes need to be more transparent.
AI, analytics and digital transformation allow insurance and banking businesses to simplify and automate the process of consolidating data from disparate systems, allowing you to make more effective and impactful decisions.
More advanced uses of AI and machine learning give you the power to improve security and compliance around anti-money laundering and risk management. They also enable you to offer a more proactive, personal customer experience and streamlined back-end business process management. Customer service can also be improved through the adoption of chatbots and RPA applications.
Technology is advancing the use of analytics in insurance and banking. It presents a real opportunity for insurers and banks to change the approaches by which they use data and deliver analytical insight to the business, whilst at the same time minimising disruption.
Insurers and banks need to take action on key insights provided by IoT applications and related services. They must simplify the process of collecting customer data from disparate sources to make more effective decisions and realise the full value of data with insurance and banking analytics. Gaining insight across operations with multiple brands or syndicates is highly challenging if you have legacy data warehouses, outdated systems and processes. This makes it near impossible for insurers and banks to get full end-to-end insight into customers’ activities and business operations.
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