Sigmoid
Why banks prefer tokenization over encryption in digital payments
Tokenization has played a pivotal role in enhancing the security of online transactions, contributing over $40 billion in additional revenue for businesses…
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…
Migrating from Azure Data and AI Stack to Microsoft Fabric: A practical overview
As the landscape of data platforms continues to evolve, Microsoft has introduced Microsoft Fabric as a comprehensive solution for data integration, analytics,…
Maximizing Project Success through JIRA Data Upcycling
JIRA has long been a staple in the world of project management, particularly for software development teams. Its robust features provide excellent…
Unlocking data intelligence with gen AI-powered SQL queries
Swiftly uncovering useful and actionable insights from a sea of data is critical for business agility. However, the process of querying databases,…
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…