Last week, our partner Keyrus UK hosted their annual Driven by Data Summit. This year’s theme was Harnessing Disruption in the 4th Industrial Revolution. One of the main topics discussed were the increasing rate of change and disruption in business nowadays. Another key topic was how data analysis supports disruption in business. According to Keyrus, businesses need to embrace and harness disruption to create new revenue streams and opportunities. The first steps towards achieving this are effectively storing data, becoming data driven with BI, expanding the types of data stores, expanding into analytics, and increasing the amount of data users.
20/20 vision—in 2020 we will know a world where we can actually see everything. The first big change I’ll go for is IOT. With the Internet of Things generating tons of real-time data, we will know what everyone does, when and how. Around 30 billion objects are expected to be connected to the IOT by 2020.
Choosing the perfect chart to display your data can be a tricky task. There are so many options! But there’s always one that’s a perfect fit, transforming your data into visual insights. Your goal is to make your charts as easy to understand, clear, and attractive as possible. We are sharing this infographic with you to help you achieve effective visualization in a minute.
Organizations face a big challenge today as they want to include all the right stakeholders and at the same time achieve more agility in their decision making processes. They are constantly striving to provide clients with more agility, while trying to give partners and employees the empowerment they expect. It is very hard to deliver both things.
Business Intelligence transformed the way we do business, but there is still unleashed potential within it. We are analyzing only a part of our data, not all of it. The insights we get are limited and in consequence, so are our decisions. This is mostly because of Dark Data and how hard it is to analyze. And also because of human bias that doesn’t exactly allows us to see outside the box, so to speak. Now, imagine if you could get insights on all of your data. Your use of BI would be much more meaningful and your decisions would be insight-driven. In order to get there, we must take a couple of things into account.
Rio’s 2016 Olympic Games came to an end, and so did GetApp’s SaaS Summer Games 2016. While athletes competed for gold in Brazil, the top SaaS companies in the world competed to prove themselves as the most popular SaaS application. The games consisted of six different events, related to types of applications. Continue reading
In today’s world, every business should be digital. But we don’t necessarily mean that you should be selling software. We mean that you should be taking full advantage of technological advances by exploiting the huge amounts of data generated every day. The digital era brought with it an enormous amount of data. This data has the potential to transform your business into an insight-driven organization. Every day we generate 2.5 quintillion bytes of data, can you see the potential insights? If you do, then you understand that every business’s goal should be to become insights-driven.
One of BI’s biggest trends is Self-service BI. By 2017, most business users and analysts in organizations will have access to self-service tools to prepare data for analysis. But we need to be aware that it comes with its challenges. If we are well informed when we jump on the self-service BI train—about its benefits and challenges—we will be better prepared to make the most out of it.
According to the article History of Business Intelligence. The term Business Intelligence was used for the first time in 1865. Richard Miller Devens mentioned it in his book Cyclopedia of Commercial and Business Anecdotes. In the book he describes the success of Sir Henry Furnese, a banker that had information of the market and political issues before his competitors did. “Throughout Holland, Flanders, France, and Germany, he maintained a complete and perfect train of business intelligence,” Devens writes of Furnese. “The news…was thus received first by him.” The idea of Business Intelligence was gathering information for business purposes.