Data and People Analytics

Format

Online Course

Starting date

October 2024

Duration

30 minutes

Language

English (BR)

About the course

In the evolving realm of talent acquisition, the fusion of data and human expertise is reshaping recruitment. The power of data, backed by artificial intelligence, is now a pivotal force in predicting hiring outcomes. Companies are embracing a talent intelligence strategy, leveraging comprehensive data analytics to stay competitive. This exploration delves into the uses, importance, and barriers of data in talent acquisition, emphasising the mainstream adoption of people analytics.

Contents - Topics

The evolution of talent acquisition, emphasising the increasing role of data and analytics in decision-making. The most advanced companies are incorporating a talent intelligence strategy alongside other business strategies, but at the same time the mainstream accessibility of people analytics, signals a shift from being exclusive to elite companies to becoming more widely available.

The aim is to improve organisational processes such as the formulation and implementation of strategy and the achievement of high quality and levels of customer service, facilitating the management of change and obtaining better performance from people, getting them to work well together.

Future growth areas include competitive intelligence and identifying flight risks. Data analytics skills are becoming essential for HR professionals. The most popular practices include measuring employee performance and workforce planning. However, many companies struggle to draw meaningful insights from their data and face challenges in transitioning from problem-solving to proactive decision-making.

Human Capital Management (HCM) is an integrated approach to managing and developing human capabilities for higher performance. It involves using people analytics to view employees as assets, linking HR practices with strategic business goals.

Developing a Human Capital Management (HCM) strategy involves defining aims, progressing to People Analytics Development, and mastering five stages of analytics. Maintaining trust is crucial, and key attributes of data-driven professionals include being a number cruncher, storyteller, questioner, and advisor.

In this lesson, we explore case studies that highlight the practical implementation of data and people analytics in different industries, offering insights into their transformative effects on decision-making and overall organisational success.

Utilise data and artificial intelligence to transform talent acquisition, predicting hiring outcomes and implementing a strategic talent intelligence strategy.
Understand the mainstream adoption of people analytics, identifying its uses, overcoming barriers, and effectively applying it in various aspects of talent management.
Establish a clear understanding of the strategic link between Human Capital Management (HCM) and business strategy, integrating data-driven practices to inform decision-making and enhance organisational success.
Acquire practical skills in collecting, maintaining, and analysing data, enabling you to draw meaningful insights and capitalise on predictive analytics.

Data and People Analytics

Share

Online Course

October 2024

30 minutes

English (BR)

About the course

Contents - Topics

Introduction: The Power of Data

Lesson 1: Data Analytics Uses in Talent Acquisition

Lesson 2: Breaking Down People Analytics

Lesson 3: Human Capital Management (HCM) and Business Strategy

Lesson 4: Mastering People Analytics and Developing a HCM Strategy

Lesson 5: Case Studies

Learning Objectives

This course is addressed to

Data and People Analytics

Share

Online Course

October 2024

30 minutes

English (BR)

About the course

Contents - Topics

Introduction: The Power of Data

Lesson 1: Data Analytics Uses in Talent Acquisition

Lesson 2: Breaking Down People Analytics

Lesson 3: Human Capital Management (HCM) and Business Strategy

Lesson 4: Mastering People Analytics and Developing a HCM Strategy

Lesson 5: Case Studies

Learning Objectives

This course is addressed to

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