An Improve The Quality Of Data Considering Big Data Aspect Based On Sensitive Of Cost Time

Big data is term of dataset with characteristic volume, value and veracity that lead to confrontation unable proceed using traditional techniques to extract value, project management perspective is dynamic processing that utilizes the suitable resources of organization in many stages by measuring in four-factor scope, time, cost and quality. In this research aim improve data quality from big data via project management scope consist on high trust which is bring high accuracy from confidence level in volume of data, confidence get with context and value of data which lead to determine accuracy deeply in it and finally select from data depending on veracity of it, the experiment using three main factors time, cost and scope, strongest relation organizing between them start by project scope as strongest one then cost, product and Last one time is weakest between them, in the final when select best quality use two sides mostly from quality degree and be center of quality interval and in particular from closest distance with the strongest factor.