A pillar of 3rd-Generation BI, “Democratization of Data,” is the critical first step in maximizing the value of your BI solution. But, this means more than just simply opening up the information floodgates. That is not a formula for success. There are several important things to consider when democratizing data throughout your organization. I’ve outlined five of those key considerations below.
Themes make the entirety of WordPress. You can’t find a WordPress site without an instance of theming applied. The most popular theme of all time, Avada, has made over 12 Million dollars from selling at the initial price of $60! We’re not here to throw some internet facts on you for fun (although these are worth your time!). We looked around for the best & rare WordPress themes that boost your SEO, and make our Lord Google happy.
It’s recently been announced that we've made the Gartner Magic Quadrant for the seventh time. What’s most exciting is that this year we're in the visionary quadrant. This means that Yellowfin is now recognized for being an innovator in the BI space. We bring products to market that other people follow and that have something different to offer customers of BI software.
It is that time of year again. The much anticipated 2020 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms has been published, and we are elated and humbled to announce that Yellowfin has been recognized as a “Visionary” in this year’s report. It’s our seventh consecutive year in the quadrant and just like last year, we believe we have made the most significant leap of any vendor in it.
Back in April last year, we made the business decision to make Keboola Connection available on Azure too (no, we're not quitting AWS). The story behind the decision is quite simple — our customers want it.
What is embedded analytics? Embedded analytics is the integration of analytical capabilities and data visualizations - real-time reports and dashboards - into another software application. This allows the end user to analyze the data held within the software application into which the analytics platform is embedded. With this analysis, the end user can identify and mitigate issues and spot opportunities to maximize.
Solving a problem programatically often involves grouping data items together so they can be conveniently operated on or copied as a single unit – the items are collected in a data structure. Many different data structures have been designed over the past decades, some store individual items like phone numbers, others store more complex objects like name/phone number pairs. Each has strengths and weaknesses and is more or less suitable for a specific use case.
