A worldwide wealth management leader is gaining faster, deeper operations insights at locations around the globe by harnessing the power of personalized, expert-led Azure data analytics installments. Through international subsidiaries and joint ventures, this earnings-focused financial services giant brokers retirement and insurance plans.
Meeting unique market regulations and gaining clear views of portfolio performance is critical to client satisfaction, uniform operations, and steady growth, but requires location-tailored solutions.
BlueGranite designed a modern data platform that scales to the needs of each of this financial services firm’s locations.
Explore insightful blog posts from the BlueGranite team covering banking, insurance, and capital markets topics and scenarios.
A global insurance giant is lauded by its clients for its custom coverage, product diversity and worldwide presence. The company’s specialized offerings in multiple markets have cemented its foothold as an industry trailblazer. In an attempt to modernize its operations, the insurer had embarked on a multiyear effort to develop its data warehouse and self-service BI system – one that integrated a large number of different data points from across the entire organization. But as the system had grown, so had its complexity.
For money management firms, making the most of every dollar is critical to maintaining a good reputation with customers. For one global finance leader, this was especially true; from wealth management to life insurance, this firm was directing trillions of dollars in customer assets. To earn — and keep — their customers’ trust, this company needed help finding a solution to streamline the reporting process and cut costs.
Given the history of other loans, what's the likelihood of a given potential loan going bad?
When it comes to personal loans, failure is an option. For many financial organizations, this is a serious cost of doing business. According to the Wall Street Journal, private default rates rose in the last quarter to a worrisome 8.1%. Lending today is high-risk, high-reward and only those with the best insights will be able to weather the storm.
Thanks to modern AI, default expenses can be reduced by improved loan risk analysis to predict the likelihood a loan will default. This is better than just using a credit history that evaluates the individual and not the loan.
Jon Gore is BlueGranite's U.S. Financial Services Lead, working with our largest accounts within insurance, banking, and capital markets on modern data platform, modern BI, and AI solutions. Jon has worked within the industry for 20+ years, first with Hyperion and then as a Data & BI Specialist at Microsoft.