A data foundation is a roadmap for how data from a variety of sources will be compiled, cleaned, governed, stored, and used. A strong data foundation ensures organizations get high-quality, consistent, usable, and accessible data to inform operational improvements and...
What Is Data Automation? How It Works, Benefits, and How to Choose the Best Platform Data automation has quickly become one of the most important strategies for organizations that rely on data-driven decision-making. By reducing the amount of manual work...
When organizations first evaluate Microsoft Fabric, the promise is clear: unified data, simplified architecture, and faster insights. But the real questions come down to ROI: How quickly can your team deliver governed analytics on Fabric? How much manual effort is...
As organizations embrace Microsoft Fabric to streamline their analytics infrastructure, they quickly encounter the complexity inherent in managing multiple integrated components. Microsoft Fabric’s extensive capabilities—from OneLake storage and Data Factory pipelines...
Microsoft Fabric is rapidly becoming the go-to solution for enterprises aiming to consolidate their analytics processes under a single comprehensive platform. However, understanding the full scope and function of its components can initially seem daunting to both...
No single data automation tool can meet every data need. Some excel at real-time operational flows, others at lifecycle automation, others at democratizing analytics or regulatory stewardship. The right choice is as much about features as it is about fit for teams,...
From Data Discovery to Deployment—All in One Workflow According to Gartner, data professionals dedicate more than half of their time, 56%, to operational tasks, leaving only 22% for strategic work that drives innovation. This imbalance is especially apparent when...
During our latest WhereScape webinar, attendees had fantastic questions about Data Vault 2.0, Databricks, and metadata automation. We’ve compiled the best questions and answers to help you understand how WhereScape streamlines data modeling, automation, and...
Understanding the AI Landscape Imagine losing 6% of your annual revenue—simply due to poor data quality. A recent survey found that underperforming AI models, built using low-quality or inaccurate data, cost companies an average of $406 million annually. Artificial...