As a cofounder at Innowise Group with 20-year experience in IT, Pavel loves helping businesses grow through data analytics . getty Data analytics has become a common thing for both large-scale corporations and local businesses that want to succeed at designing and promoting their products. It can help perform the magic of defining the needs and wishes of a target audience, show the path to optimized production and distribution and much more. When used incorrectly, though, data analytics can lead to poor decision making based on wrong assumptions. Data analytics is a powerful tool, but there are several major mistakes businesses can make while using it that can lead to severe failures instead of overwhelming success. Here are nine things to watch out for while making data-based decisions. 1. Refusing To Create Data Lakes Data lakes are the type of storage used for keeping raw, totally unprocessed data. Keeping such information allows businesses to build precise and retrospective predictive models based on historical data. It also enables the use of the original data with new processing and analytical tools. Without raw data stored, businesses have to rely on third-party data brokers that may share unsuitable data or the needed […]
K&X Design and Investment Technology, LLC
Invest The Invisible Impact
K&X Design and Investment Technology, LLC
Invest The Invisible Impact
