Data Management
Enhancing liquidity risk control with next-gen data management solutions
Banks need data-driven frameworks that enable real-time insights, precise stress-testing, and proactive risk mitigation to ensure operational resilience, regulatory compliance, and robust…
Maximizing the impact of customer analytics with composable CDPs
In recent years, customer data platforms (CDPs) have emerged as indispensable tools in the realm of the MarTech stack. A CDP serves…
Cloud data modernization for business growth: Insights from industry leaders
Srinath Reddy B Head of Data Platforms & Engineering at Dun & Bradstreet Mayur Rustagi CTO and Co-Founder at Sigmoid According…
Implementing data products and Data Mesh on Microsoft Fabric
Microsoft Fabric is an end-to-end analytics and data platform designed to unify various data services into a single, cohesive environment. In this…
Why banks must embrace proactive risk management with AI-driven RegTech
Large firms spend up to $10,000 per employee annually on compliance, averaging around $300 million annually.¹ This significant investment could be redirected…
How to elevate digital banking experiences for customers with data analytics
From data silos and security concerns to poor data quality and ineffective segmentation, retail banks today face a myriad of challenges in…
3 data and analytics trends shaping the MedTech industry
In the MedTech industry, one of the key challenges lies in balancing cutting-edge advancements with the practical realities of cost, regulation, and…
How agile MDM enables faster time to insights for life sciences
Data is the lifeblood of success in the life sciences industry. From groundbreaking drug discovery to personalized patient care, effective data utilization…
Driving regulatory success in capital markets with data governance
The ever-evolving regulatory landscape of capital markets feels like a tightrope walk. One misstep with data management, and brand reputation along with…