How your BI platform is funded is a reflection of their management and their capability to build a sustainable product and business.

The biggest takeaway from Gartner’s Magic Quadrant is that organizations need Mode One, Mode Two and Mode Three analytics. There’s very little point in delivering highly sophisticated advanced automated analytics if you haven’t got your ‘bread and butter’ reporting and governance working.

Lots of organizations use Google Analytics and Google Insights to monitor the effectiveness of their digital marketing, but the information it delivers is almost meaningless. If you want to discover changes as they happen or be able to react to changes that you’re making to your website or digital campaigns you should apply Signals to Google Analytics.

Embedding analytics into applications is a great opportunity for software vendors to create an enormous amount of value for their customers and their own business. To do this well, you can partner with an analytics vendor, but there are three things to look out for if you do.

As an Australian company, Yellowfin decided to pursue a regional growth strategy early on. While it wasn't easy, we learnt three important lessons along the way.

The future of analytics is augmented. This means analytics will be AI-driven and all end to end use cases will be automated. And software vendors can use this to their advantage by embedding AI-driven analytics platforms like Yellowfin.

As an Australian company, Yellowfin knew that it had spread its wings overseas to grow and expand. But with the benefit of hindsight, they found that there are many other benefits to be gained from their decision to go global.

According to recent research by Harvard Business Review, 92.5% of CDOs believe their people are to blame for not being data-driven, but they’re wrong. The problem isn't the users it's the technology they’ve been given.

Yellowfin's product roadmap focuses on three things - automating the discovery of insights, reimaging the mobile experience and giving people new ways to interpret data so that it's meaningful to them.

The key challenges preventing IoT initiatives to be successful are the inability to capture and process data directly from thousands of edge devices as well as the lack of operational visibility and control of the edge. Dinesh Chandrasekhar, Director of Product Marketing for Data-in-Motion at Cloudera, talks about solutions designed to solve these IoT challenges.