Label
Frequency: 12 Issue per year
Paper Submission: Throughout the Month
Acceptance Notification: Within 2 days
Areas Covered: Multidisciplinary
Accepted Language: Multiple Languages
Journal Type: Online (e-Journal)
ISSN Number:
2582-8568
The process of evaluating large and complicated data and turning it into a form that is accurate, comprehensible, and actionable is known as big data analytics. The success rate of software projects is increased through the application of big data analytics in project management. It can reveal the project schedule, make the appropriate decisions, and keep the project moving forward. It lessens problems with privacy, data quality, and project manager training. Big data analytics makes it simple to identify and manage risk by tracking its occurrence, unlike traditional risk management, which relies on historical data and periodic reporting that can lead to abrupt and unanticipated changes in the market environment. Project managers can better manage project risk with the aid of big data analytics. Advanced analytics methods that businesses can use include text analysis, machine learning, predictive analytics and data mining.