One of the changes that we've seen happening in the analyst space recently is a huge shift in thinking. Gartner in particular is now talking about augmented consumers and multi-experience analytics. To me, this is really interesting because they’re talking about the business user and how they want to work and consume data. In the past it was all about the data analyst, but focusing on users opens up an entirely new level of thinking.

With 9.5, we've focused on providing new capabilities and enhancements for everyone involved in the data to design workflow - analysts, developers, users - that streamline processes, introduce functional improvements and enrich the analytic experience for all. For the full list of updates, please read the release notes and check out our release highlights video below to see some of these new enhancements in action for yourself.

Whilst not as well-known as other tech hotspots, many technology companies have been successfully launched and grown up here in Australia, with great economic and legal conditions, access to a talented and diversified skill-base, and a culture of innovation and adaptability acting as some key - and growing - attractions for leaders. So, why Australia? Sun, sand, surf, etc.

By 2025, Gartner predicts data stories will be the most widespread way of consuming analytics. It’s far from a fad - it’s a part of modern analytics you can’t afford to overlook. However, are you still unsure of what data storytelling is, or why there's a sudden buzz?

If you already have some brand awareness, so people know who you are and what you do, there are three ways that you can accelerate your sales in a virtual environment.

Simply put, a lot of effort is going into creating dashboards that the intended audience don’t even look at. The main purpose of a dashboard is to communicate business data in a visual form that highlights to the reader what is important, arranges it for clarity and leads them through a sequence that tells the story best so they can make better data-led decisions. Design and an understanding of how humans make decisions exist to assist this purpose.

Let’s get this out of the way: To understand the much discussed ’death of the dashboard' proclamation, the phrase needs to be viewed under a different lens beyond the literal. Firstly, it's not a new concept at all: Yellowfin have been saying it for years. The problem is in the current confusing interpretation around what it means for business intelligence. In short, dashboards aren’t actually dying, nor is their usefulness for certain users spent.