Like oil or money, data is a valuable resource that holds great potential. But too many organizations set their sights on amassing data, or worse, using it only in isolated processes or departments when they should be focused on applying data throughout their everyday operations.   Technology is, of course, part

Real-time data is immediately passed along for analysis rather than collected and stored. Some such systems offer on-demand real-time analytics. In those cases, the platform does not send data until a person requests it. It’s immediately available once they do.  Other real-time data tools have continuous analytics capabilities. Then, the

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