HR02 - HR Data Mining and Analysis

Service Description

In the HR sector, the critical leap from intuition-based to data-driven decision-making faces a significant hurdle: the complex world of statistical analysis. This complexity often feels insurmountable for HR professionals without a background in quantitative analysis, leading to a reliance on subjective judgment calls. The divide between the potential of HR analytics and its practical application in strategic HR decisions is growing. Each missed opportunity and misdirected strategy, rooted in guesswork rather than data, underscores the urgency of bridging this gap. Without the concrete foundation of data, decisions rest on the unstable ground of personal opinions, as highlighted by Jim Barksdale's observation, making strategic HR decisions precarious in today’s data-centric environment. Tailored specifically for the HR community, this one-day workshop aims to cut through the statistical thicket, making the principles of data mining and analysis accessible to all. Participants will dive into real-world HR datasets, applying analytical concepts to uncover objective insights in a language that resonates with HR professionals. By the end of the workshop, you’ll be equipped to transform complex HR data into actionable intelligence Learning outcomes - Understand the HR analytics value chain and process and the role that data mining and analysis plays in it - Appreciate that there are two types of analytics - Descriptive and Inferential - Learn how to describe HR data accurately and how to conduct descriptive analysis to understand the current state of the workforce. Includes understanding data types, central tendency & variation - Learn what inferential analysis is and when to use; to make reliable estimations with limited data (sampling), to test and interpret hypotheses. - Gain exposure to the various methods available and when to use them; including T-Test, Chi-Square tests, Correlations and Multiple regression methods all illustrated with HR use cases Technical Requirements - In the interest of helping students build the requisite skills, much of the workshop will be application based, where students practice their skills on the most popular analytics platform - MS Excel - Students will be required have their own internet accessible laptops with MS Excel (2016 or later) and ZOOM installed. Workshop is eligible for IHRP skills badge (People analytics), badges can be obtained at student's own cost

Cancellation Policy

Should any student be unable to attend the workshop for any reason and informs FYT Consulting at least 2 days prior to the commencementof the workshop; they would be scheduled for the next run of the same workshop. If the student is unable to attend and did not inform FYT Consulting, a recorded video of the workshop will be provided in lieu of attendance. No refund will be provided

Contact Details