Data-driven transformation in financial services
Financial services firms need to transform toward a personalized, digital-first & data-driven experience that meets customer demand like never before. At the same time, regulators and business leaders require real-time and predictive views into a firm’s risk and compliance position. Cyber security and fraud tactics are rapidly evolving and becoming more sophisticated, and financial firms are a prime target.
In order to be successful, firms must break down data silos and deliver analytic insights based on all of their data, regardless of where it is stored. They need to overcome the technical and skills-based barriers to operationalizing AI & ML.
Many financial services firms across the globe rely on Vertica to unify disparate data sources and remove the obstacles to deploying predictive models in production. Vertica customers are able to deliver customer insights, respond to a dynamic and evolving regulatory environment, and keep their assets and their customers safe from cybercrimes.
Data is Critical for Banking Transformation
Financial services leaders understand the importance of analytics, but there is a gap between what executives want and the reality. In this InfoBrief, Vice President of IDC Financial Insights Jerry Silva explores the trends driving banking transformation, and offers guidance for firms seeking to become more data-driven.
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Financial Services across the globe rely on Vertica for business transformation
Extreme Scale and Performance
Manage ever-growing volumes of data and deliver analytic performance at the speed your business requires, with a lower total cost of ownership.
Unified
Analytics
Combine disparate sources of customer data for robust customer modeling. Deliver scheduled and ad hoc reporting to regulators based on an organization-wide view of the data.
In-Database Machine Learning
Overcome the data science skills gap in Financial Services and remove the barriers to operationalizing predictive analytics with SQL-based in-database ML.
Multi-Cloud and Hybrid Cloud
Financial services companies have been slow to embrace the cloud. But as the trend becomes more compelling, Vertica helps by running in any cloud and on-premises to enable a hybrid or multi-cloud environment and eliminate the risk in choosing a strategic cloud provider.
Regulatory Compliance
In the wake of the 2008 global financial crisis, financial services firms came under increased scrutiny. The regulatory environment became more stringent and dynamic. Regulators are empowered to request ad hoc reporting in addition to scheduled reports, based on real-time and predictive modeling. With data stored in silos across the organization, many firms struggle to deliver an accurate firm-wide view of their risk and compliance position for regulatory and business decision-making purposes.
Customer Experience
Customer satisfaction and trust in financial institutions reached a low point in the wake of the 2008 global financial crisis, and demand for modern, digital approaches to managing assets increased during the global pandemic. Financial services firms must leverage disparate customer data, including semi-structured and unstructured data from new sources, for real-time and predictive insights to achieve an empathetic customer experience, secure trust and loyalty, and increase share of wallet.
Cyber Security
Financial services firms are 300 times more likely to face a cyberattack compared to other industries, and an attack can cost as much as 40% more than other companies. Cybercrimes and fraud tactics are rapidly evolving and becoming more sophisticated. Financial services firms are under pressure to protect their customers’ assets while reducing the negative impact of false positives.
Featured Resources
China PnR achieved 422% ROI and annual average benefit of approximately $1.9 million with Vertica.
MassMutual is evolving a data culture and providing fast analytics and reporting with Vertica and a home-grown ingest engine.
Finansbank unlocks a treasure vault of data with Vertica.
Vertica delivers adaptive data warehouse and AI-supported data-driven decision making.
Cerner optimizes health information solutions to improve efficiency and quality of patient care.
Philips aims for zero unplanned equipment downtime with Predictive Analytics.
Anritsu achieved 351% ROI and average annual benefit of over $3 million with Vertica.
China Telecom provides personalized services for tens of millions of customers by harnessing the power of data.
Maxcom drastically improved performance for regulatory compliance achieving an 85% reduction in fraud-related costs.
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