Course Description
This 3-day Masterclass will allow HR professionals to learn the techniques in using data and sophisticated analysis of people-related issues. By the of the HR Specialization, you will be able to demonstrate the use of hard data to make soft-skill decisions about hiring and talent development, so that you can position yourself as a strategic partner in your company's talent management decisions.
Some of the use cases to be tackled:
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Employee Engagement
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Performance Management
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Employee Segmentation
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Employee Turnover Prediction
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Time to Attrition Modelling
Questions this Masterclass will help you answer
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What is Big Data in business?
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How do I improve and innovate my business and organization using Data?
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How do I transform Data into Business Value?
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What are the 4 types of analytics and how can I apply them to my domain and industry?
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How do I use Data to understand 'what happened' to my business?
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How do I use Data to understand 'why something is happening' to my business?
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How do I use Data to predict 'what will happen' to my business?
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How do I use Data to recommend ' what should happen' to my business?
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How can I use Data to create products and services based on my customers' wants and needs?
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How can I translate insights into business strategies using Data?
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How do I beat the competition through disruptive innovation using Data?
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How do I set-up my own data value chain to execute my business analytics strategies?
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How can I become a responsible and ethical user of Data in the context of business?
Course Features
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Instructor-led workshop
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Real-world use cases for discussion
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Discussion of strategies and action
Who should attend this?
The Business Analytics Masterclass for HRis for you if you are a manager, C-level executive or HR professional who would like to leverage on analytics to gain a wider business perspective through data. No previous background in analytics or programming is required, as this is not a coding masterclass. However, experience in statistics and/or basic Microsoft Excel skills would be useful.