BI & Analytics
Big Data and analytics go hand-in-hand. New and improved tools allow vast data sets to be finessed, and previously unmanageable data structures to be tamed.
If there’s one topic that has captured the public’s attention consistently over the decades, it is this: have aliens visited Earth, and have we caught them in the act on camera? Unidentified Flying Objects (UFOs) and Unidentified Aerial Phenomena (UAPs) tick all the boxes regarding our love of conspiracy theories,
The bulk of investments made in data management platforms thus far has not been money well spent, according to a Data Value Scorecard published today by data lake platform Dremio. The scorecard finds only 22% of the data leaders surveyed said they have fully realized a return on investment (ROI)
What’s next for the Chief Data Officer role? How can CDOs navigate disruption, bring business value to their organizations, and, ultimately, get an invitation to the board of directors?
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
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