What went wrong? Despite your preparation, the root cause is glaringly simple yet often overlooked—the lack of visibility into your data’s quality. How can you avoid this? The answer lies in leveraging Data Quality Dashboards! A data quality dashboard provides real-time insights into the health of your data landscape. Without data quality dashboards it becomes…

What is Metadata Management Gartner defines metadata as the information that describes an information asset to improve its utility throughout its lifecycle and metadata management as the business discipline for managing the metadata. Metadata management, which was once sidelined, is now emerging as a broad-based practice. As a result of which, many data management platforms…

DataOps is a collaborative data management framework that focuses on improving the communication, integration, and automation of data flows between data and business teams. DataOps with its emphasis on collaboration and continuous improvement brings together data engineers, data scientists, analysts and other business users. This approach ensures the delivery of high-quality, reliable data to the…

Artificial intelligence (AI) and machine learning (ML) are no longer futuristic ideas. They have long moved from research labs to the heart of modern industries. Large language models (LLMs) like ChatGPT, Bard, and others are powering every conversational and advanced analytics interface. These technologies are changing how we operate and solve problems. What forms the…