As we bid adieu to 2020, corporates and big data leaders are looking for ways to get an edge over their competitors in big data projects. Since the inception of big data technologies, the trends in this industry have defined competition and adoption. Although 2020 has been a tough year for big data projects, just like any industry, 2021 is expected to be better. Here are some key big data trends for 2021:

Big data analytics is a major topic of discussion in enterprise circles these days. This has seen the rise of many projects, most of which are big in size and scope, and ambitious but the majority of which end up failing. According to a 2016 estimation by Gartner, more than 60 percent of big data projects fail. Nothing seems to have changed because many of these projects still fail to date. The question is, what is the cause of these failures? Here are some reasons why big data initiatives do not succeed:

Tech experts are heaping all types of praises on big data, some even saying it is perhaps the next big thing after the advent of the internet.  Although stating that big data is the greatest invention after the internet is arguable, it is cannot be disputed that it has changed many things in modern organizations. It allows employees and business owners to sift through data intelligently, use data to learn through machine learning and employ analytics tools to inform decision-making processes. While it is a source of success to many organizations, people must understand that this technology is a double-edged sword that can help or wreak havoc if not used properly. Building the right data culture is what can drive a positive change in an organization. Therefore understanding what may go wrong when using big data is critical. Here are areas that may go wrong in big data: