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Financial Services

Hyper-personalization will deliver the next generation of innovative financial services

Banks need to be able to develop the next level in hyper-personalized products and services, which includes the ability to deliver intelligent, highly personalized advice. Data-driven, artificial-intelligence (AI)-enabled analytics will prove vital. Real-time data will be needed, in an on-going, secure, and governed manner. Given the growth in data volumes, the only way to quickly achieve results is through logical data management. Denodo can show you how a logical data management platform supports innovation and customer engagement.

 

Financial Services Customer Video

ING: The Data Journey of a Large International Bank

ING deployed the Denodo Platform to create value fast and in an agile manner. By incorporating the Denodo Platform, ING was able to re-architect its data infrastructure to support more data sources and data models. 

The company focused on reporting and data science use cases, providing the appropriate support for data access, rights management, and data pre-processing. This new approach to data architecture has increased ING data teams' agility in delivering on business requirements, reducing the bank’s manual and overall development efforts.

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Solution brief

Facilitating the Digital Transformation in Financial Services

Financial services industries are undergoing massive digital transformations, driven by the need to maintain their competitive advantages against traditional and new fintech challengers. 

Such transformations are challenging and can affect the entire institution on many levels, and this solution brief covers 10 capabilities for overcoming these challenges.

 

Financial Services

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Analyst Report

A Road Map to ESG Powered by Data Virtualization

Data lies at the heart of an ESG framework, yet it remains a major hurdle. For most organizations data is stored in numerous different silos, from mainframes, to mid-range servers, different data warehouses, and of course the cloud. Enterprises have difficulty bringing all of this data together in a coherent way – and if they cannot, they face a risk that their ESG (environmental, social and governance) initiatives could fail. They need to be able to monitor, manage, and enhance their sustainability plans, and that requires consistent, joined-up data.

Read this IDC Spotlight to understand how well-managed data – captured from numerous systems, business units, and geographies – is key in supporting broader ESG frameworks.

 

Analyst Report

The Value of Using a Logical Approach to Data Management in Financial Services and Insurance

In order for financial services and insurance companies to embrace a data and AI-driven future, they must effectively integrate data from a growing array of sources. This necessity has evolved into a critical requirement for establishing a solid, secure, compliant, and robust data foundation, which is pivotal in generating fresh insights, suggestions, and forecasts. This enables these companies to develop real-time customer profiles, manage credit risks, combat fraud and financial crimes, ensure data security, address cybersecurity concerns, expand their customer base, and enhance customer service.

 

“Very Useful Data Virtualization Product, Fundamental In A Modern Architecture”

— Enterprise Architect in the Banking Industry - Firm Size: 30B+ USD

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