Plant Optimization

Big data is a term applied to data sets that are so large and complex which beyond the ability of traditional data processing application software to capture, manage, and process the data with low-latency. And it has one or more of the following characteristics which are high volume, high velocity, or high variety.

Big data analytics is used to discover the patterns and other useful information by using the process of collecting, organizing and analyzing large sets of data. Big data analytics can help organizations to better understand the information contained within the data and will also help identify the data that is most important to the business and future business decisions.

For most organizations, big data analysis is a challenge. However, with data in hand, you may start doing analytics. But, which type of analytics area is more appropriates for your big data?

Three crucial area in analytics are descriptive, predictive and prescriptive. Descriptive is functioned to collect all past or historical data and make it into something that is interpretable by humans. Whereas, predictive will predict what may happened in future and prescriptive will provide numbers of possible actions to guide organization towards a solution.

Hence, Matrix Power Network provide several existing solutions towards the big data which are: