Applications of Excel functions of creating HR dashboards

Excel functions can be extremely useful in creating HR dashboards, as they can help HR professionals to quickly and easily analyze a variety of HR metrics and data. Here are some examples of how Excel functions can be used in HR dashboards:

VLOOKUP: VLOOKUP can be used to create lookup tables for employee data, such as job titles, department names, and manager names. This can be useful for analyzing HR data by department, by job title, or by manager.

INDEX: INDEX can be used to retrieve specific data points from large datasets, such as employee performance ratings, salary data, or benefits data. This can be useful for creating charts and graphs that compare different HR metrics and trends.

SUMIF: SUMIF can be used to calculate the total number of employees in a particular department or location, as well as the total number of hours worked, the total cost of benefits, or the total number of job applicants for a particular position.

AVERAGEIF: AVERAGEIF can be used to calculate average salaries, performance ratings, or benefits costs for different employee groups, such as managers, entry-level employees, or employees in different departments.

COUNTIF: COUNTIF can be used to count the number of employees in each department, the number of employees who have received a certain type of training or certification, or the number of job applicants who meet certain criteria.

By using these Excel functions, HR professionals can create dynamic and interactive dashboards that allow them to quickly and easily analyze HR data and metrics, identify trends and patterns, and make informed decisions about HR policies and practices.

Story-boarding: Connecting the dots and Integrating the findings

Storyboarding is an important process in data analysis that involves connecting the dots and integrating the findings of your analysis into a coherent and meaningful narrative. The goal of storyboarding is to create a compelling and engaging story that effectively communicates the insights and implications of your data analysis to your audience. Here are some tips for effective storyboarding:

Start with a clear message: Before you start storyboarding, it’s important to have a clear message or thesis that you want to communicate to your audience. This message should be based on the insights and implications of your data analysis, and should be framed in a way that resonates with your audience’s interests and needs.

Identify key themes and patterns: Once you have your message, you can start to identify the key themes and patterns that support it. This might involve looking for trends, correlations, or outliers in your data, or identifying patterns in customer behavior or market trends.

Use visuals to support your story: Visuals such as charts, graphs, and infographics can be powerful tools for communicating complex data in a simple and engaging way. When creating visuals, it’s important to keep your message in mind and choose the most appropriate visual format to support it.

Tell a story: Once you have your key themes and visuals, it’s time to tell a story. This means framing your data analysis in a way that creates a narrative arc, with a clear beginning, middle, and end. Your story should be structured in a way that builds suspense and anticipation, and that leads your audience to your key message.

Conclude with a call to action: Finally, it’s important to conclude your story with a call to action that encourages your audience to take action based on your insights. This might involve suggesting specific next steps or recommendations, or inviting your audience to engage with your data analysis in a deeper way.

By following these tips, you can create a compelling and effective storyboard that connects the dots and integrates the findings of your data analysis into a clear and compelling narrative.