HR & People Analytics Program
DESCRIPTION
71% of companies consider HR Analytics a high priority for their business.
Digital transformation is profoundly changing the future of work and HR management. Technology gives us, in addition to others, the advantage of having more data or information and it is of vital importance that we know how to analyze them to be able to improve processes since: “Everything that is measured, improves” and the data of RR. HR are the most important assets that any company has at its disposal. But companies are not as advanced when it comes to getting to know their employees.
- Do you know the business impact of losing talent?
- The cost of recruitment and the lengthy adaptation process for new employees?
- Who is the best internal or external candidate for a vacancy?
- How much return on investment is the capital resource giving us?
“Everything that gets measured, gets better,” and the PR data is a good example of this. HR are the most important assets that any company has at its disposal.
OBJECTIVES
- Understand the importance of starting to make employee and candidate decisions based on data and not just intuition or experience.
- Understand the key elements to be analyzed in an organization for the successful implementation of People Analytics projects.
- Understand and apply the technological environment applicable to HR.
- Foster interest in and understanding of the benefits of using visualization tools for decision making.
- Interpret and use predictive algorithms in the field of human resources.
AIMED AT
PR Managers HR, HR Professionals HR Analysts, HR Analysts HR, HRBP, Managers and Leaders in general.
Edition: 11th
Duration: 15 hours
Start date: September 25 from 15.30 to 18.30 Session 1: September 30 from 3:30 to 6:30 p.m. Session 2: October 7 from 3:30 p.m. to 6:30 p.m. Session 3: October 14 from 3:30 p.m. to 6:30 p.m. Session 4: October 21, October 21 from 3:30 to 6:30 p.m. Session 5: October 28 from 3.30 to 6.30 p.m. Session 6: October 30 from 3:30 to 6:30 p.m. Masterclass: November 6 from 3.30 pm to 6.30 pm Schedule: 15:30h to 18:30h (Spain)
Faculty
Program contents
1
PEOPLE ANALYTICS
Benefits of data-driven decision making in human resources.
Applications throughout the employee lifecycle and use cases.
Areas applicable to data-driven decision making in the People domain (Power BI technology):
- Descriptive
- Diagnosis.
- Predictive.
- Prescriptive.
2
DASHBOARDING
Implementation by Dashboarding (Power BI technology):
- Generación de tableros
- Estrategia self-Service
- Different tools
- Definition of KPI’s
- Connecting, normalizing, modeling and visualizing People use cases in Power BI.
Project Implementation
Implementation by Functional Areas in HR
3
PREDICTION BY MEANS OF SUPERVISED ALGORITHMS.
Interpretation of People patterns and insights for the implementation of Human Resources policies in classification and regression situations.
Interpretation and implementation of supervised learning algorithms using No Code technologies (trees, ensembles, logistic regressions).
Use cases on (BIGML & Knime technology):
- Engagement Analytics: eNPS, favorability, cross-referencing, confidentiality and analysis of results.
- Retention Analytics
- Onboarding Analytics
4
PREDICTION BY UNSUPERVISED ALGORITHMS.
Interpretation of People patterns and insights for the implementation of Human Resources policies in clustering and grouping situations.
Interpretation and implementation of unsupervised learning algorithms using No Code technologies (clusters, anomalies, Sentiment Analysis).
Use cases on (BIGML & Knime technology):
- Learning Analytics
- Performance Analytics
- Consideraciones de People Analytics:
-
- Organizational silos
4
ONA & GENERATIVE ARTIFICIAL INTELLIGENCE
Organizational network analysis in the service of talent and potential policies, organizational change and development (Gephi technology).
Application of automation tools and generative artificial intelligence in the service of analysis, reports and reporting (ChatGPT technology).ChatGPT technology).
Insights-driven human resources process and policy creation using generative artificial intelligence tools (ChatGPT technology).