Data analytics is proving to be an excellent tool, not only for business but for the planet as well, going by how it is helping fight climate change and helping society in general. While many have associated it with its uses in the business environment, it is proving to be the change that the world needs at a time when the fight against climate change is taking shape. In addition to helping in climate change initiatives, big data analytics will help improve other areas such as entertainment and health and research, among other fields. Here are some of the biggest areas that data has on the world.

Data analytics has proven to be a critical part of modern businesses. It can help improve decision-making outcomes for almost any type of decision, which can be micro, macro, strategic, operational, cyclical or tactical decisions that will help propel a company to the best possible heights. Data analytics can help unearth new solutions to problems and opportunities that business leaders would not have found if they continued using conventional methods. Progressive organizations employ data for various things and therefore must rely on data from within and outside the organization to make smart and informed decisions.

Big data and analytics have become a success story for some organizations. However, most of them have never realized the full potential of big data because the real power of this technology has been restricted to small parts of their operations and businesses. Therefore, while others have immensely benefitted from big data, some are still struggling to see how it will help them. According to Gartner, only 20% of analytics insight will deliver the business outcomes this year. This low percentage of delivery is due to various mistakes. Due to this challenge, this article lists some mistakes you should avoid in your big data initiatives.

Data analytics projects can be challenging to many organizations, especially those entering the murky waters of data analysis for the first time. While you may think data projects need to be complex or showy, that is not always the case. Rather, the most important thing you should do is demonstrate your skills using data sets that interest you. The good news is that any organization, regardless of the time they have spent, is that data is everywhere, and you need to know where and how to find it and what to do with it.