Analyzing the Effectiveness of Real-Time Data Analytics in Crisis Management: A Mixed-Methods Study

Description

Analyzing the Effectiveness of Real-Time Data Analytics in Crisis Management: A Mixed-Methods Study

Abstract

Crises like pandemics, natural disasters, or financial downturns occur more frequently and become more complicated. Generally the associations undergo pressure and might not responds quickly to the swift. The main purpose of this research is to evaluate how real-time data analytics improve the decision-making procedures and resource allocation in crisis management. However this could helps the corporations to make informed decisions and modernize the allocation of resources efficiently. It is also extremely helpful to improve the response strategies within the organizational activities.

The review utilizes a mixed-methods approach for assessing the effect of real-time information on crisis management. However in the quantitative analysis crisis information, which involves utilization of resources, responding time, is evaluated to examine the efficacy of real-time data analytics. Moreover the purpose behind concentrating on predictive models and monitoring frameworks is to figure out how they upgrade crisis management and help in decision-making. In the qualitative phase interviews are conducted with the professionals in data analytics and crisis management. It helps with providing effective insights into benefits and challenges of utilizing real-time information. These interviews aid in identifying real-time analytics significant applications and how they impact in transforming response attempts.

The findings of the research highlight real-time data analytics which play a crucial part in crisis management enhancing. Based on the review, organizations could react to disasters more effectively and quickly when they consider real-time information. Associations could advance their crisis reaction planning and effectively distribute resources by using the data-driven methodology. The review results by suggesting the organizations look further in developing their crisis management through real-time analytics. Finally companies will be ready to manage disasters in the future by incorporating these strategies, which will ensure effective and quicker control.

Read more about the topic

Cloud-Based Solutions for Real-Time Crisis Management

Big data analytics in prevention, preparedness, response and recovery in crisis and disaster management

View Other Projects on Real – Time Data Analytics

The Impact of Real-Time Data Analytics on Decision-Making in Manufacturing: A Mixed-Methods Study

Using Data Analytics to Identify Emerging Market Opportunities: A Mixed-Methods Study in International Business