Unlocking HR Insights with Decision Intelligence

The modern world of work is evolving at an unprecedented rate and with it, so are the roles of people leaders. It is essential for leaders to have the capacity to sense, analyze and act on data within each people process in order to keep up with these changes. Establishing a system for data analysis can help leaders manage their personnel more efficiently, have a greater understanding of their personnel, and make smarter, more timely decisions. However, our research indicates that only 29% of senior leaders feel confident in their ability to address staff retention and only 42% of first-level leaders are very sure of their ability to address performance issues with their teams. As such, there is a need for a method to bridge the gap between people and outcomes. This method is known as “Decision Intelligence” and it can help people leaders gain real-time insight into employee morale and experience so that they can achieve essential objectives such as recruiting superior talent, preserving current workers, and executing diversity, equity, and inclusion objectives.

In order to develop Decision Intelligence, it is important to understand the current state of people processes. Senior leaders often lack the confidence to tackle questions related to staff retention. Only 29% of senior leaders in our research are strongly confident in their capability to do so. Similarly, only 42% of first-level leaders are very sure of their ability to address performance issues with their teams. This lack of confidence can lead to a lack of action when it comes to addressing personnel issues. Furthermore, gaining insight into employee morale and experience can be difficult without a system for data analysis. This lack of insight limits a leader’s capacity to properly address essential objectives such as recruiting superior talent, preserving current workers, and executing diversity, equity, and inclusion objectives.

In order to bridge the gap between people and outcomes, people leaders require a method to process data, comprehend what it implies and take decisive actions. This method is known as “Decision Intelligence” and it is designed to provide real-time insight into employee morale and experience. Decision Intelligence involves several steps including collecting data from multiple sources, analyzing the data for patterns and trends, predicting future outcomes based on the data, and taking action based on those predictions.

The first step in Decision Intelligence is collecting data from multiple sources. This involves looking at all available data sources such as surveys, interviews, employee feedback forms and other forms of communication with employees. It is important that data comes from a variety of sources in order to get a comprehensive view of the organization and its personnel. Once this data has been collected, it is then analyzed for patterns and trends. This includes looking at the overall sentiment of the data and examining any correlations between different variables. Once this analysis is complete, it can be used to predict future outcomes related to employee morale and experience.

The final step in Decision Intelligence is taking action based on these predictions. This could involve adjusting policies or procedures in order to improve morale or creating targeted initiatives aimed at addressing specific issues. It is important that these actions are taken quickly in order for them to be effective. By implementing Decision Intelligence, people leaders can make smarter decisions about their personnel in order to achieve essential objectives such as recruiting superior talent, preserving current workers, and executing diversity, equity, and inclusion objectives.

In conclusion, establishing a system for data analysis is an important step towards understanding personnel better and making smarter decisions about them. Our research shows that only 29% of senior leaders are confident in their ability to address staff retention and only 42% of first-level leaders are very sure of their ability to address performance issues with their teams. To bridge the gap between people and outcomes, people leaders require a method to process data, comprehend what it implies and take decisive actions. This method is called “Decision Intelligence” and it can help people leaders gain real-time insight into employee morale and experience so that they can achieve essential objectives such as recruiting superior talent, preserving current workers, and executing diversity, equity, and inclusion objectives. By collecting data from multiple sources, analyzing the data for patterns and trends, predicting future outcomes based on the data, and taking action based on those predictions; people leaders can make smarter decisions about their personnel in order to achieve long-term success for their organization.

Explore more

AI Redefines the Data Engineer’s Strategic Role

A self-driving vehicle misinterprets a stop sign, a diagnostic AI misses a critical tumor marker, a financial model approves a fraudulent transaction—these catastrophic failures often trace back not to a flawed algorithm, but to the silent, foundational layer of data it was built upon. In this high-stakes environment, the role of the data engineer has been irrevocably transformed. Once a

Generative AI Data Architecture – Review

The monumental migration of generative AI from the controlled confines of innovation labs into the unpredictable environment of core business operations has exposed a critical vulnerability within the modern enterprise. This review will explore the evolution of the data architectures that support it, its key components, performance requirements, and the impact it has had on business operations. The purpose of

Is Data Science Still the Sexiest Job of the 21st Century?

More than a decade after it was famously anointed by Harvard Business Review, the role of the data scientist has transitioned from a novel, almost mythical profession into a mature and deeply integrated corporate function. The initial allure, rooted in rarity and the promise of taming vast, untamed datasets, has given way to a more pragmatic reality where value is

Trend Analysis: Digital Marketing Agencies

The escalating complexity of the modern digital ecosystem has transformed what was once a manageable in-house function into a specialized discipline, compelling businesses to seek external expertise not merely for tactical execution but for strategic survival and growth. In this environment, selecting a marketing partner is one of the most critical decisions a company can make. The right agency acts

AI Will Reshape Wealth Management for a New Generation

The financial landscape is undergoing a seismic shift, driven by a convergence of forces that are fundamentally altering the very definition of wealth and the nature of advice. A decade marked by rapid technological advancement, unprecedented economic cycles, and the dawn of the largest intergenerational wealth transfer in history has set the stage for a transformative era in US wealth