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Our research: Monthly data and analytics reports

Every year we currently produce 30 to 40 exclusive reports for our subscriber community. These reports examine the breadth of data driven solutions within financial services - from front office and trading through to risk management, finance and operations. We curate this content through our proprietary analysis models to extract insights which reflect both financial processes and the evolving technical capabilities involved in data science, artificial intelligence and the underlying data infrastructure.

Reports

Monthly focus reports

We publish multiple reports every month, across categories covering:

  • Financial Institutions Focus Reports – providing detailed insights into data and analytics solutions in use amongst hundreds of financial institutions globally.
  • Vendor Market Focus Reports – providing detailed insights into those software vendors and other service providers with credible data and analytics solutions of relevance to financial institutions.
  • Use Case Focus Reports – providing detailed insights into the financial services use cases and business processes being transformed by data driven solutions.
  • What’s New Reports – timely reports aggregating all the most recent insights across financial institutions, vendors and key use cases.

What focus topics are covered in our reports

We curate our content through proprietary analysis models to extract insights which reflect both financial processes and the evolving technical capabilities involved in data science, artificial intelligence and the underlying data infrastructure.

Use case topics

Data driven solutions are rapidly transforming financial institutions across the full breadth of business processes.  Our expert business research taxonomies are designed to understand the full landscape of financial processes and identify new applications of data analytics solutions as soon as they emerge.  Key examples of current coverage include:

  • Client Onboarding and Client Lifecycle Management
  • Credit Risk Management
  • Customer Experience and Analytics
  • ESG and Climate Risk
  • Investment Management
  • Finance, Audit and Treasury
  • Fraud, KYC, AML, and Financial Crime
  • Legal and Contract Management
  • Market Risk and Market Data
  • Model Risk Management
  • Operational Risk and Non-Financial Risks
  • Sales and Marketing
  • Wealth Management

Data and analytics topics

Artificial intelligence continues to rapidly develop and evolve, requiring financial institutions to continuously monitor developments and determine how these could transform financial processes.  Our data science research taxonomies are designed to understand these evolving capabilities as soon as they emerge.  Key examples of current coverage include:

  • Alternative Data and Unstructured Data
  • Agentic AI
  • AI Ethics
  • Behavioural Analytics
  • Business Intelligence
  • Conversational AI
  • Causal AI
  • Data Governance
  • Data Quality
  • Entity Resolution
  • Explainable AI
  • Generative AI
  • Intelligent Process Automation
  • Knowledge Graphs
  • Large Language Models
  • Named Entity Recognition
  • Privacy Preserving Methods
  • Synthetic Data

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