Knowledge Sharing

In 2025, AI-driven data quality, predictive analytics, and seamless tool integration will redefine business decision-making. Discover the top trends shaping data quality management.

Blood platelets present a unique healthcare supply chain challenge with their critical importance and extremely short shelf life. By precisely forecasting platelet demand, healthcare providers can better balance patient needs with resource optimization, resulting in reduced waste, significant cost savings, and more reliable care. This case study explores how advanced analytics transforms healthcare logistics while maximizing the impact of every blood donation.

AI applications have taken off across industries. From chatbots generating creative content to AI-driven automation in finance and customer service, businesses are seeing real impact. But as AI adoption grows, so do the challenges—bias in decision-making, transparency concerns, and even security risks like deepfake fraud. How can organizations ensure AI delivers value while staying responsible?

Integrating SparkLin with Microsoft Purview allows for capturing and visualizing end-to-end data lineage in Spark environments. This enhances governance, transparency, and audit readiness. The refined SparkLin codebase ensures seamless integration into data governance frameworks.

Managing SAP data is complex, especially with siloed teams and fragmented information. Without strong data governance, collaboration weakens, documentation suffers, and visibility declines.

Data lineage is more than a technical feature; it is a cornerstone for understanding how data flows, transforms and integrates across systems.

For many organizations, establishing a modern data platform can be daunting. Microsoft Fabric proves however that it doesn’t have to be. Fabric is designed to simplify, unify, and empower your modern data platform. With easy setup, familiar integration and powerful features, the platform offers organizations of all sizes a unique opportunity to adopt data-driven strategies. Whether you’re just beginning to explore data analytics or are ready to elevate your data strategy, Fabric has something to offer.

If your team has adopted Power BI in recent years, you've likely experienced its many advantages. However, the user-friendly nature of the tool can be a double-edged sword. In this article, we explore three common pitfalls we have seen organizations face when using Power BI. By addressing these pitfalls, organizations can maximize Power BI's potential to transform their data into meaningful insights and drive informed decision-making.

At Datashift, we've witnessed firsthand how Collibra can transform Data Governance practices and keeps pace with evolving market demands.