What is Augmented Analytics?
Augmented Analytics is a modern approach that uses advanced technologies like artificial intelligence (AI) and machine learning (ML) to automate and enhance the data analytics process. It simplifies data preparation, insight generation, and decision-making by uncovering patterns and trends that may not be immediately obvious through manual analysis. In the realm of HR and People Analytics, augmented analytics transforms raw workforce data into meaningful insights that organizations can use to address challenges and seize opportunities.
By automating repetitive tasks such as cleaning data, running models, and creating visualizations, augmented analytics makes the power of analytics accessible to a wider audience—not just data scientists but also HR professionals and business leaders. Its goal is to enable faster, smarter, and more informed decision-making by presenting actionable insights in real-time dashboards or through natural language explanations.
Importance of Augmented Analytics
In HR, workforce data is constantly growing in complexity and volume, making traditional reporting methods increasingly insufficient. HR teams are tasked with answering key questions, such as: Why is turnover increasing? How can we improve employee engagement? Which roles are critical to achieving long-term organizational goals? Manual analysis can take weeks, often delivering insights too late to act upon effectively. Augmented analytics overcomes this challenge by identifying trends, patterns, and anomalies in workforce data in real-time.
For example, augmented analytics can predict which employees are at risk of leaving by analyzing factors such as job satisfaction, compensation, and commute distance. Similarly, it can provide insights into diversity and inclusion initiatives by highlighting discrepancies in hiring practices, promotions, and pay equity. These insights drive data-backed decisions, enabling HR teams to act proactively rather than reactively.
By automating these processes, organizations can not only reduce the burden on HR teams but also ensure a level of analytical precision that is difficult to achieve manually. This precision has a direct impact on business performance, as better workforce strategies lead to higher employee satisfaction, reduced turnover, and improved productivity.
How SplashBI Helps
SplashBI’s Augmented Analytics for People Analytics empowers HR professionals to leverage the full potential of their workforce data. The platform integrates seamlessly with existing HR systems to gather data from multiple sources, such as payroll systems, performance management tools, and employee engagement platforms. By applying AI and ML algorithms, SplashBI automates the process of finding actionable insights.
For example, SplashBI can track and visualize employee satisfaction trends over time, highlight departments with high attrition rates, and recommend data-backed strategies to improve retention. Its predictive analytics capabilities allow HR teams to forecast workforce needs, identify future skill gaps, and optimize recruitment pipelines. Additionally, the platform offers intuitive dashboards and customizable reports, enabling HR leaders to communicate insights effectively to stakeholders.
With SplashBI’s Augmented Analytics, organizations can not only uncover hidden opportunities but also address potential risks before they escalate. Learn more about how SplashBI’s advanced People Analytics tools (Explore SplashBI People Analytics) can transform your workforce strategy and drive better business outcomes.
