Content cited on this website is titled “Big Data or Big Statistics? ” and written by Miya Knights, business technology journalist. Throughout the article, the journalist explains how organizations often use statistics and big data through various software. Additionally, comparisons between traditional data management techniques and new software techniques are explained and proven to improve a company's productivity. Additionally, spending on old software versus new software through technology has reduced the amount of spending a business will make in the future, benefiting it in the long run. Additionally, the article explains how some companies like IBM are taking the initiative to participate in controlling Big Data for their own benefit. Finally, companies explain big data storage and what big data storage is used for according to their respective businesses. Thus, this article presents many conclusions about Big Data that are still under discussion.1. Big Data is actually much more than just a buzzword. Big Data is seen as combining a number of different existing technologies and disciplines to look for trends and patterns to estimate outcomes based on these trends.2. Big Data differs from traditional data management techniques because it uses greater software and technology independence, allowing it to become self-sufficient, as opposed to data management techniques that are inconsistent and produce unpredictable combinations . Big data cannot be tamed by data management techniques, while data management follows a procedure that has very little flexibility and struggles to change when implementing new commands.3.... ... middle of paper.... ...adjustments or modifications to the company's software before it can function properly.3. The relationship between "big data" and "traditional statistical analysis" is that both typically involve an information technology division and a group of highly skilled programming people to extract meaningful information and insights. They both draw conclusions from the data provided to them and draw conclusions on how to improve the productivity of the organization. However, the two may differ in the aspects they focus their ideas on. Therefore, “big data” and “traditional statistical analysis” produce similar goals when working for an organization, but generate different insights. villanovau.com/university-online-programs/what-is-big-data/ http://raconteur.net/technology/big-data-or-big-statistics