A modern analytics lifecycle is a seven-step process, pretty straightforward, and the key is that it takes a perspective from the business user. If the goal is to enable somebody in the business, what ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

For years, data science and machine learning teams have driven operational business value, from reporting and analytics to forecasting and predictive modeling. Now, generative AI (GenAI) is pushing ...

Generative AI not only makes analytics tools easier to use, but also substantially improves the quality of automation that can be applied across the data analytics life cycle. The generative AI party ...

In today’s world where data reigns supreme, the role of Database Administrators (DBAs) extends far beyond just maintaining databases. DBAs play a crucial role in overseeing the entire lifecycle of ...

In this video from the Stanford HPC Conference, Satya Sai Prakash Kanakadandi from HCL America presents: Analytics Development Life Cycle: Pangea is Panacea. “Data ingestion to business insights is a ...