The evolving market landscape is driving an urgent need for a unified enterprise performance management (EPM) solution, as finance teams face increasing pressures from several fronts. Rapid technological advancements, heightened competition, and the growing complexity of global markets have made financial agility and real-time decision-making critical to maintaining a competitive edge.

Every year, Data Summit attracts data professionals to Boston for three days to exchange ideas and innovation. In 2025, the event was dedicated to data management trends, Big Data, business intelligence (BI), analytics, as well as emerging innovation in AI and machine learning. At the Data Summit, Sami Akbay, insightsoftware’s Head of Data Analytics Projects, hosted a session on the evolution of BI, the rise of generative AI, and the shift toward insight-driven workflows.

BigQuery ML TimesFM model is now in preview, and forecasts datasets through the use of generative AI.

BigQuery has three new categories of advanced aggregation functions: group by extensions, user-defined and approximate aggregate functions.

Organizations have mastered collecting and storing vast amounts of data in cloud data warehouses like Snowflake. This central repository has become the single source of truth for analytical insights, business intelligence, and reporting. However, the true potential of this data remains trapped if it's confined to the warehouse, creating a disconnect between rich analytical insights and real-time operational systems.

True embedded analytics isn't about dashboards; it's about giving your users the confidence to act. It's about turning your application into the one place where data becomes a story, and differentiating it from those that lack a cohesive narrative. This guide explores how smoothly or painfully different BI platforms let you connect, embed, and share analytics within your product.

As businesses race to become data-driven, the ability to quickly build and iterate on data workflows is more critical than ever. Traditional ETL and ELT processes, while powerful, often require extensive coding, long development cycles, and high maintenance overhead. Enter low-code data pipelines: a modern, visual-first paradigm enabling faster development, broader accessibility, and better scalability.

Enterprise data pipelines are no longer mere support systems—they are strategic assets central to analytics, compliance, and operational intelligence. This article offers a comprehensive overview of how enterprise ETL pipelines work, the technologies involved, common challenges, and best practices for implementation at scale in 2025.