The AI Revolution: Must-Knows for Financial Operations Leaders
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Meradia’s 2024 Industry Outlook
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Secrets to Successful Data Transformation Strategies
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Data Mesh – Investment Industry Trend or Unicorn?
Recently, we attended a financial data industry event and listened to one company after another share their experiences in their data governance and management journey. That day, we learned that only a few had moved forward with a data mesh save for leaders in the industry. Those leaders shared their implementation stories, and we will share this question with you. What came to our minds at the time was whether Data Mesh was a unicorn in the investment industry. Is the self-service data platform a myth or a reality? With that question in mind, we spoke to several firms at the gathering and interviewed others afterward to learn about the data mesh ‘state of the union’ in the investment industry.
by Andrew Jacob, CFA
UAT for Performance Transformations Is Notoriously Difficult. It Doesn’t Need To Be.
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Operational Challenges of M&A with Jonathan Boersma, CFA | GIPS® 2023
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Facing the Challenges of Mergers and Acquisitions
With one in six asset managers expected to be acquired or go out of business in the next five years, preparing for M&A activities is crucial for success. It’s important to consider each option’s potential benefits and challenges and to carefully evaluate whether M&A activities align with your firm’s goals and values. However, these processes can have significant challenges, including cost management, personnel, and legal and regulatory issues. Jonathan Boersma, CFA’s latest article, “Facing the Challenges of Mergers and Acquisitions”, explores these challenges and provides considerations for mitigating them.
by Jonathan Boersma, CFA
Maximizing Value In Asset Management: A Closer Look At Insourced Operations
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Unlocking Potential: The Secret Weapon of Single Relationship Managers
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Building a Resilient Data Strategy: Learning from UniSuper’s Google Cloud Incident
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Migrating from Internal Data Stores to Cloud-Based Data Vaults: An Exploration
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