Collaboration is a key driver of success in business and one of the hardest things to achieve in today’s work climate. Businesses are juggling remote workers, hybrid workers, and everything in between since the pandemic’s onset. Business intelligence can be crucial in creating collaboration. According to the U.S. Census and

Augmented analytics: the combination of AI and analytics is the latest innovation in data analytics. For organizations, data analysis has evolved from hiring “unicorn” data scientists – to having smart applications that provide actionable insights for decision-making in just a few clicks, thanks to AI.  Augmenting by definition means making

Companies are collecting more data than ever these days. Business intelligence processes, in turn, have become a necessity in every business function, including the supply chain.  BI tools can get complicated in a hurry. Given the sea of data that supply chain companies find themselves swimming in, choosing the right

Talent recruitment without data is drought with challenges. Hiring managers may find themselves at a disadvantage when determining how much they need to pay their employees. Offer them too little, and they’re unlikely to work for you. Pay them too much, and you’re not utilizing your resources effectively. Compensation management

Data comes in many shapes and forms, but two of its core structures are stacks and queues. TechTarget’s definition states the following; “In programming, a stack is a data area or buffer used for storing requests that need to be handled.” And what’s inside that data stack? It’s not just

The DN Unlimited Conference will take place online for the first time this year More than 100 speakers from the fields of AI, machine learning, data science, and technology for social impact, including from The New York Times, IBM, Bayer, and Alibaba Cloud Fully remote networking opportunities via a virtual

BI can help you start making sense of your data, but it still expects you to do the heavy lifting when it comes to finding insights. Building predictive models that can cut down your decision time and offer better insights is a must, but achieving them sounds impossible.  So, why

As the world contends with the Covid-19 pandemic and its profound impact across regions and industries, companies are not only looking for ways to safeguard their people and customers but also their business’ long-term future – read how data & analytics can help your business deal with the crisis.  The

Data scientists are constantly challenged with improving their ML models. But when a new algorithm won’t improve your AUC there’s only one place to look: DATA. This guide walks you through six easy steps for data acquisition, a complete checklist for data provider due diligence, and data provider tests to

Technology companies are under huge pressure to deliver faster and better experiences, so it’s not surprising that focus is centered on the front end of systems. With slick, friction-free services vital to outshine competitors in an ever-evolving market, backstage mechanics are often seen as a lower priority. The trouble is