DATAVLT aiding Development of Leaders with Big Data
Leadership Training is estimated to be exceeding $20 billion and even reaching as high as $50 billion. This is only in the United States of America. However, the investment is not bearing any fruit. According to an Accenture data, only 8% of American executives felt that their company is developing new leaders. In addition, Institute of Corporate Productivity found that around 65% of the companies felt they were ineffective and ill-equipped to develop leaders.
The reason behind this could be the use of leadership metrics and measures which leads to the failure in delivering results when comes to leadership development. Companies are required to determine the outcomes of the investments in leadership training.
The advent of machine learning, big data analytics along with predictive learning will improve the workforce. Companies must harness the big data analytics for the assessment of leadership performance.
The star employees in a company can be spotted, however, it is easy to overlook the employees contributing the most. Managers are humans and biases are a part of human nature. The biases might include gender, age, race and other unconscious biases.
AI enabled data analytics & machine learning will enable identifying top performers while eliminating bias allowing for leveraging of data and analytics for employee comparisons. Identifying potential leaders will let organization intervene and mentor employees for leadership roles. This will, in turn, benefit the organization on the whole.
In addition, analytics are scientific allowing engagement surveys to be more accurate results in understanding of retention and cultural challenges. Leadership Analytics will improve employee engagement and activities influencing the employee performance. This is critical to the goal of the complete organization is to achieve profits.
Online training with virtual classrooms is provided handy and versatile solutions to employees gaining knowledge. These allow companies to track their employees’ engagement during the course and then assess their understanding.
The data can be used to create clear understanding in terms of performance and employees understanding the material. DATAVLT will be using data analytics and predictive learning to increase the productivity and output of the employees. In turn, companies are able to identify employees who contribute the most. However, DATAVLT will be making a difference by including security and scalability with blockchain technology. The Predictive Learning Artificial Intelligence will allow companies to find retention and cultural challenges in advance and pay attention to meeting those challenges.
