People Analytics

Descriptive Analytics

  

Data visualization is the core of descriptive analytics (DA). DA helps build analytics that represent your programs, highlight critical insights, and enhance the ability of organizations and leaders of community and social projects (CSPs) to make critical decisions. In short, DA aims to aid in understanding the programmatic details of the past and present. 

 

Diagnostic Analytics

  

Understanding why programs and events have occurred moves beyond the observation of descriptive analytics and into diagnostic analytics. Additionally, the outcomes of the programs and events connected to organizations' and CSPs' current and future objectives should be analyzed. Being able to diagnose via analytics aids in providing a solutions roadmap to help the organizations and the leaders of CSPs move forward. 

  

Predictive Analytics

  

Predictive analytics (PA) considers how leaders devote time, if at all, to descriptive analytics. However, predictive analytics allows for testing and finding the strengths and weaknesses of the proposed diagnostic solutions. It is also good to understand predictive analytics relies on data science and statistics, which will be infused by AI, algorithms, and machine learning.  

  

Prescriptive Analytics

 

Organizations and CSPs are keen on achieving their KPIs. Therefore, utilizing prescriptive analytics will answer the question of what actions to take. Essentially, prescriptive analytics provides support for what actions should be taken, giving leaders the comfort to move forward with confidence. Prescriptive analytics also involves tracking performance and maximizing the value of data analytics.