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A Competitive Imperative for Modern Investment Organizations The modern business landscape is experiencing an unprecedented shift fueled by digital transformation, data proliferation, and artificial intelligence (AI). Organizations that fail to evolve risk obsolescence where data-driven decision-making, automation, and advanced analytics define competitive advantage. At the core of this transformation lies the Next Generation Operating Model
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Video Interview with Brian Buzzelli: Data Architecture
https://www.youtube.com/watch?v=gyPXqSsW1Ec Meradia’s Director, Head of Data Practice, Brian Buzzelli, sits down for a video interview on key topics in his latest thought leadership paper, “Data Architecture Evolution: Imperative or Extinction?”. Brian will moderate a panel session at A-Team Group’s Data Management Summit on a similar topic in September. Watch to learn answers to questions like:
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Data Architecture Evolution: Imperative…or Extinction?
As regulatory pressures continue to increase, customer expectations evolve, and competition intensifies, financial institutions are under increasing pressure to innovate and transform their operations. At the heart of this transformation is data architecture – the foundation upon which financial institutions build their businesses. Industry Challenges and Opportunities Traditional financial data architectures, built around on-premises data
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Competitive Edge and Business Value Begins With Data Quality
The strategic importance of maintaining high data quality in asset management is pivotal, given the industry’s reliance on precise and timely information for decision-making, regulatory compliance, and client satisfaction. In this article, we explore the crucial role of data quality in various facets of asset management. Getting data quality right enhances operational efficiency, fortifies client
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Secrets to Successful Data Transformation Strategies
The financial industry is witnessing a transformational ‘tidal wave’ of change, with vendors exerting a gravitational pull on the front office, providing integrated data and applications while asset servicing providers absorb post-trade, middle, and back-office operations. Generative AI, NLP, and machine learning demonstrate near limitless application and use opportunities. Competition for assets and consistency in
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