Peter Drucker is known for saying what gets measured gets managed. The analytics of big data is what helps businesses to measure all the data that individuals and business come across in the day to day work. Data Analytics is what makes Big Data become clear. Even though the term Data Analytics might look simple it is not. Data Analytics is mostly complex when it is deployed for big data applications. The 3 most important attributes of big data include velocity, volume, and variety.
Data Analytics refers to the set of quantitative and qualitative approach used to derive valuable insights from data. There are many tools and techniques which are used to transform, collect, classify cleanse, and convert the data into easily understandable data visualization and reporting formats. It involves many processes like drawing out data, categorizing it to analyze its various patterns, connections, relations, and other such valuable insights from it.
Today almost every organization has merged itself into a data-driven organization and this means they are using an approach that involves collecting more data related to the customers, markets and business processes. This collected data is then categorized, stored and analyzed in order to make sense of it and derive valuable insights out of it.
The need for big Data Analytics comes about due to all the data that is being created at breakneck speeds on the internet today. Our digital lives will make big data even bigger thanks to the ever-increasing penchant of individuals to see that their lives are ever-connected to the online world. The enormous amount of data being every second on the cyberspace generated brought about the need for big Data Analytics tools in order to make sense of all that data. The analytics organizes, transforms and models the data based on the requirements in order to draw the necessary conclusions and for identifying patterns in the data.
Using big data tools and software helps organizations and businesses to process large volume of data effortlessly. They will now determine which of the collected data is relevant and can be used to make business decisions. Considering the large volume of data that has to be collected and analyzed, it sometimes become s a big challenge to some companies. This is where they employ a data analyst to help them out.