I met Matthew in New York City about a year ago. We sat in a private conference room and he told me the story of his pharma startup. A small group of researchers set out to solve the black-box enigma of certain kinds of vicious cancers. There are so many cancers, so their vision was to focus on especially heinous ones. Fast forward to their recent FDA approval of their “Hail Mary” procedure and treatment methodology for stage-four patients of a particular cancer.

Unravel provides full-stack coverage and a unified, end-to-end view of everything going on in your environment, plus recommendations from our rules-based model and our AI engine. Unravel works on-premises, in the cloud, and for cloud migration.

Choosing a new business intelligence (BI) tool can be a confusing, time-consuming and, frankly, exhausting process. It’s also an anxiety-inducing one: Companies are willing to shell out millions on business intelligence software, yet picking the wrong tool can set their business back months. With so many BI tools on the market now, choosing the wrong one is far too easy. This is a big factor contributing to the fact that 87% of businesses haven’t reached business intelligence maturity yet.

With the complexity of data growing across the enterprise and emerging approaches to machine learning and AI use cases, data scientists and machine learning engineers have needed more versatile and efficient ways of enabling data access, faster processing, and better, more customizable resource management across their machine learning projects.

Historically, analytics has not always been a priority feature for software vendors. Many applications typically are built with analytics bolted-on later, as standalone tools. But the changing needs of today’s business users has accelerated the importance of providing in-built ways to monitor and explore their data while they use your software.

Anyone can make a chart, but what’s the right chart? It’s a daily question for BI practitioners, and many of us have been using the highly acclaimed FT Visual Vocabulary to answer that question since its release in 2016.