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How do you analyze data from workforce management systems?

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Workforce management systems (WMS) are software tools that help organizations plan, monitor, and optimize their human resources. WMS can collect and store data on various aspects of workforce performance, such as attendance, productivity, quality, compliance, and customer satisfaction. But how do you analyze data from workforce management systems to make informed decisions and improve your business outcomes? Here are some tips to help you get started.

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Irwin Inoa Gonzalez

Manager, Center of Excellence of International Operations at Scotia GBS Dominican Republic

1 Define your goals and metrics

Before you dive into the data, you need to have a clear idea of what you want to achieve and how you will measure it. Depending on your industry, organization, and objectives, you may have different goals and metrics for your workforce management. For example, you may want to reduce absenteeism, increase efficiency, enhance customer service, or improve employee engagement. You should align your goals and metrics with your overall business strategy and communicate them to your stakeholders. You should also choose relevant and reliable data sources and methods to collect and validate your data.

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2 Use data visualization and dashboards

One of the best ways to analyze data from workforce management systems is to use data visualization and dashboards. Data visualization is the process of presenting data in graphical or pictorial forms, such as charts, graphs, maps, or tables. Data visualization can help you identify patterns, trends, outliers, and relationships in your data, as well as communicate your findings and insights to others. Dashboards are interactive tools that display key performance indicators (KPIs), metrics, and data visualizations in a single screen. Dashboards can help you monitor and manage your workforce performance in real time, as well as compare and contrast different data sets and scenarios.

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3 Apply data analysis techniques and tools

Another way to analyze data from workforce management systems is to apply data analysis techniques and tools. Data analysis is the process of examining, transforming, and modeling data to extract useful information and insights. Data analysis can help you answer questions, test hypotheses, solve problems, and make recommendations. There are different types of data analysis techniques and tools, such as descriptive, exploratory, inferential, predictive, and prescriptive analysis, as well as statistical, mathematical, and computational methods. You should choose the appropriate techniques and tools for your data and goals, as well as ensure the quality and accuracy of your analysis.

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4 Interpret and communicate your results

The final step in analyzing data from workforce management systems is to interpret and communicate your results. Interpretation is the process of explaining the meaning and significance of your data analysis findings and insights. Communication is the process of sharing your data analysis results and insights with your audience, such as managers, employees, customers, or partners. You should interpret and communicate your results in a clear, concise, and compelling way, using data visualization, dashboards, reports, presentations, or stories. You should also highlight the key takeaways, implications, and recommendations from your data analysis, as well as solicit feedback and suggestions for improvement.

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Irwin Inoa Gonzalez

Manager, Center of Excellence of International Operations at Scotia GBS Dominican Republic
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Data should tell a story, there are powerful tools that allow us to present information in a friendly and easy fashion such as Power Bi. With its powerful engine and features to visualize data, I believe is an important tool to use when analyzing and communicating the highlights to any management level.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How do you analyze data from workforce management systems?

1

2

3

4

5

1 Define your goals and metrics

2 Use data visualization and dashboards

3 Apply data analysis techniques and tools

4 Interpret and communicate your results

5 Here’s what else to consider

Workforce Management

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How do you analyze data from workforce management systems?

1

2

3

4

5

1 Define your goals and metrics

2 Use data visualization and dashboards

3 Apply data analysis techniques and tools

4 Interpret and communicate your results

5 Here’s what else to consider

Workforce Management

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