Business Intuition

Dakota McMahon

Bio

Dakota McMahon is Marketing Analyst at INDATA, a leading industry provider of software and services for buy-side firms including trade order management (OMS), compliance, portfolio accounting, and front-to-back office technology solutions. At INDATA, McMahon leverages her background in Economics and Quantitative Analysis to deliver data-driven strategies that improve client engagement and modernize investment management.

Recent Posts by Dakota McMahon:

Beyond the AI Model

Editor’s Note: We recently spoke with Evan Fire, Chief Operating Officer and Managing Principal at Pzena Investment Management, who shared his perspective on model-agnostic architecture, AI governance, and explainability in […]

Hunter Capital Management Chooses INDATA for Front-to-Back Investment Management Platform

Greenwich, CT – July 7, 2026 – INDATA, a leading industry provider of cloud-native, SaaS-based investment management solutions for buy-side firms, today announced that Hunter Capital Management (HCM) is live on INDATA’s Software-as-a-Service platform for Front, Middle and Back Office investment management.

INDATA Announces Nexus AI-Connected Investment Management Update

Emerging Finance and Investment Tech Trends: Innovations Shaping Asset Management in 2026

Key Takeaways AI and machine learning lead the way in investment tech trends, driving the industry forward. Blockchain has many uses in the field, supporting transparency and visibility. Automation can […]

Advanced AI & Analytics Themes: The Future of Investment Management in 2026

Key Takeaways AI and data analytics are evolving, and firms should be in a position to adopt and embrace them. Many AI subsets can provide benefits to firms, from real-time […]

Global Investment Trends: Key Drivers Shaping the Future of Finance in 2026

Key Takeaways Macroeconomics vary greatly by region and change often, but must be part of forecasting and predictions. Technology innovation, fueled by AI, allows firms to use data for decisions […]

Data-Driven Decision Making in Wealth Management: Analytics That Improve Outcomes

Key Takeaways Wealth management data analytics enables firms to optimize their use of critical information from multiple sources. Data is the key to better decisions across the spectrum of wealth […]

Advanced Reporting Features: Making Data Work for You in Real-Time

Key Takeaways Real-time portfolio performance reporting drives efficiency and visibility. Firms need modern platforms that can scale and have special features for advanced reporting. Enhanced reporting can be a differentiator […]

The Rise of Cloud-Native Investment Platforms: Benefits and Challenges

Key Takeaways Cloud investment portfolio management software is custom-made for these environments. Firms are adopting solutions in the cloud to gain efficiency, reduce costs, and gain more insights. Migrating from […]

The Role of a Master Data Model in Modern Investment Management

Across the buy side, many firms are planning to invest in AI-based approaches, providing further automation and greater insights. But many are discovering the same issue: advanced AI technology can […]