Analytics

Announcing Sisu's metric grain feature: Delivering faster, more accurate insights with ML

Organizations of every size have seen a massive increase in demand for faster, more comprehensive answers to vital business questions. Unfortunately, data’s increasing volume and dimensionality makes it difficult and time-consuming to analyze using business intelligence tools alone, often leaving rich and valuable data underutilized.

Anodot Named by Forrester in Future of Business Intelligence Report

It’s hard to believe enterprise BI platforms have been around for three decades. In that time, they have served the purpose of collecting and analyzing large amounts of data to help businesses make more informed decisions. But in today’s data-driven economy, analysts struggle to keep up with the myriad of business intelligence reports from traditional BI tools – which fail to effectively and efficiently analyze and interpret data in real-time.

2022 Data Delivery and Consumption Patterns Survey: Highlights and Key Findings

As big data continues to grow exponentially, enterprises are discovering that legacy data environments (e.g. data warehouse or data mart) were never designed to efficiently process and extract insights from the vast volumes of data they generate today. In turn, enterprises are shifting investments away from legacy data environments and searching for future-proof alternatives (e.g., data lakes, data lakehouse, data fabric, or data mesh) to support data-driven, new-generation initiatives.

Building a Killer App with White Label BI

Embedded analytics has become a priority for many companies today. It means building data visualizations and business intelligence (BI) features right into public-facing apps. However, some businesses don't like this idea. They don't want to feature a third-party solution in their first-party applications - leading to a lack of data and analytics used.

Top five ways to use self-service analytics for demand generation marketing

As the Director of Demand Gen at ThoughtSpot, I’m responsible for optimizing our campaigns and every customer touchpoint. No biggie, right? I’m part of a lean marketing team at a high-growth company. We’re not in the business of generating leads – we’re about creating real demand for our products.