Comprehensive, comparative analysis of our data can be a highly time-consuming manual task for your users. But new-wave automation and machine learning (ML) tools makes monitoring, alerting and gleaning new insights a lot faster. One such example is Yellowfin Signals and the latest addition to its extensive algorithm library, called step change.
The way that people do business in Japan has radically changed as a result of COVID-19. Historically, the Japanese have been very much about face to face relationship selling where you establish relationships and build trust but now everything has to be done remotely or online. Like everyone else, the Japanese are really keen to keep doing business so they've actually embraced the remote way of doing things which has been quite interesting to watch and had some unexpected benefits.
It almost seems like eons ago now, but in this year’s Gartner Data and Analytics Sydney Summit, Yellowfin were excited to participate in the first-ever Analytics & BI Showfloor Showdown, alongside IBM and Oracle. As a way of facilitating a side-by-side comparison - and in the spirit of an insightful and entertaining session - we were all invited to look at the WHO health indicators data set, understand the variables that drive life expectancy, and present them to the crowd.
Pixel-perfect reports are a highly specific formatting capability that requires the right business intelligence (BI) solution to meet your needs for precision, quality and design. However, you may be surprised to learn it’s often not an out-of-the-box feature in 2020.
In this release, we’ve focussed on providing exceptional capability for our customers - both enterprise and software companies - to create and deploy embedded analytics experiences that drive user adoption with minimum amount of effort and coding.
The government's COVID-19 response is a good example of failed leadership from a data perspective. While government officials have access to a huge amount of data to help them make decisions they’ve fundamentally failed to use it to take people on a journey. There’s a huge lesson that businesses can learn from this on how to use data to change behaviors. What we’ve seen is governments responding to the outbreak at a very simplistic level.
One of the most interesting developments coming out of the current COVID-19 crisis is that people are looking at and interpreting data like never before. People that have never expressed an interest in data are now thinking about data and trying to understand what it means for them. There is a lot that businesses can learn from this. With COVID-19, people are taking the time to look at highly complex data, distill it, and assess what it means for their own behavior and lives.
The world has turned upside down. You don’t need me to tell you that. And, thanks to weeks of working from home, a new way of working may be upon us when we flip back. Many are seeing this period as a pivotal time in changing the way many organisations will function. Business has seen first hand that it can run effectively with many of its people working remotely.
One of the big standouts for me in the recent environment is just how much of a shock COVID-19 has been for organizations. This is because many have become complacent about their data over the past decade and they’re now exposed. As Warren Buffet said, "Only when the tide goes out do you discover who's been swimming naked." To deal with the current economic situation everyone now has to lift the lid on their organization.
It was three years ago, just after the Gartner Magic Quadrant (MQ) came out, that everything in customer success changed at Yellowfin. We had made it into the MQ again but we weren’t positioned where we believed we should be. We were a product-driven company that had been first to market for many of the functionalities that have since become expected in what BI vendors offer today.
