The term big data is not new, data analysis in companies, both large and small, is beginning mainstream in companies desire to utilize big data to gain information to make better business decisions. Data Analysis is a way to preserve context that is missing in the refined structured data stores, combining multiple data sources to create new expectations in convergence of social, mobile, cloud and big data technologies. It helps in producing the right information to the consumer quickly, ensuring data reliability, and validating data elements relationship.
With the use of big data becoming more and more important to businesses, it is even more vital for them to find a way to analyse the ever growing disparate data coursing through their environments and give it meaning, this is where data analysis comes in. The question should always be what's important to the business so as to obtain better data context. Data engineers who analyse information in real time, can help make strategic decisions for the business on any given day. It comes down to data analysis to look for anomalies, most of the data is fine, and it’s about finding the anomalies that matter.
Data is collected by the Big Data software a company uses. This shares data that's important to the business and together they use that data to gain an advantage and be successful in their particular market. Data Analysis allows the ability to measure costs while having the ability to measure the business results that come from this data analysis, this then drives better business conversations and decisions.
Big Data can focus on business goals; it contributes to better business results and better business decisions and provides the best basis for planning future decisions. Business leaders believe data analysis can provide the information needed for companies to strategise for years to come. Data Analysis allows IT leaders to take existing business information and make better informed and quicker decisions to cost and performance optimize their entire business. Big Data departments need to optimize their costs in the support of the business but still ensure a successful customer experience.