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13 March 2023

Manufacturing Company gets Shiny new R training

We recently provided training in R - Reporting & Dashboards with Shiny training, for a  manufacturing company that specializes in producing customized industrial equipment for clients around the world. Over the years, the company had been using a mix of different data analysis tools such as Power BI and Tableau to generate reports and dashboards. However, the company had been experiencing a few challenges with these tools. For example, the staff found it difficult to create and customize dashboards, and the tools required a steep learning curve, which made it challenging for new staff to get started.

To overcome these challenges, the company decided to switch to R.

R is a programming language and software environment for statistical computing and graphics. It is widely used by data analysts, researchers, and scientists to manipulate, analyze, and visualize data. R provides a wide variety of statistical and graphical techniques, including linear and nonlinear modelling, time-series analysis, and machine learning.

Free to use as an open-source language, this also means its source code is available for anyone to view and modify. This has led to a large and active community of developers who contribute to the language by creating new packages and functionalities that can be used by other users.

R can be run on various operating systems such as Windows, macOS, and Linux. It also has a variety of integrated development environments (IDEs) such as RStudio, which provide a user-friendly interface for users to write and execute R code.

Overall, R is a powerful tool for data analysis and visualization that is widely used by individuals and organizations in many different fields, including finance, healthcare, education, and research.

And to train its staff in R-Reporting & Dashboards with Shiny, a 2-Daycourse run by JBI Training. The company was attracted to this tool because it was more user-friendly, and it required less technical expertise than the previous tools they were using.

The training program was designed to teach staff how to use R and Shiny to create customized dashboards and reports for the company's various departments, including sales, finance, and production. The program covered various aspects of data visualization, including data wrangling, data cleaning, and data analysis, all of which were important to generate insights.

The benefits of the training and using R included:

  1. Increased efficiency: R and Shiny are designed to work together seamlessly, allowing staff to create customized dashboards and reports quickly and efficiently. By using R and Shiny, staff reduced the time they spent on data analysis and reporting, freeing up resources for other tasks.
  2. Improved accuracy: R is a programming language that allows for more precise and accurate data analysis. By using R, staff were able to ensure that their data analysis was more accurate and reliable, leading to better decision-making.
  3. Greater flexibility: R and Shiny offer greater flexibility when it comes to data analysis and visualization. Staff found customizing dashboards and reports to suit their needs, which can help to provide a more comprehensive and detailed analysis of data.
  4. Better collaboration: R and Shiny allowed for better collaboration between team members. With R staff can share code and dashboards with each other, making it easier to work on projects as a team.
  5. Cost-effective: R and Shiny are open-source tools, which means that they are free to use. By using R and Shiny, companies can save money on licensing fees for other data analysis tools.
  6. Scalability: R and Shiny can handle large datasets with ease, which makes it an ideal tool for companies with large amounts of data.

Overall, by training staff in R - Reporting & Dashboards with Shiny, the company could benefit from increased efficiency, improved accuracy, greater flexibility, better collaboration, cost-effectiveness, and scalability. These benefits help to make better decisions based on reliable and accurate data analysis, which can lead to improved performance and growth.

After the training program was completed, the staff began to create dashboards and reports using R and Shiny. The results were impressive. Staff found it much easier to create customized dashboards and reports, which provided more insights into the company's operations. Additionally, the dashboards and reports were more interactive, making it easier to spot trends and anomalies.

One other significant benefit of using R and Shiny was that the staff found it much easier to collaborate on projects. They could share code and dashboards with each other, making it easier to work on projects as a team.

In conclusion, by using R-Reporting & Dashboards with Shiny, the manufacturing company was able to overcome the challenges it had been facing with Power BI and Tableau. The staff found the new tool much easier to use and collaborate with, and it provided more insights into the company's operations. The company was happy with the results and planned to continue using R and Shiny to generate customized dashboards and reports in the future.

We offer training in R – to make an enquiry or a booking simply get in touch

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About the author: Craig Hartzel
Craig is a self-confessed geek who loves to play with and write about technology. Craig's especially interested in systems relating to e-commerce, automation, AI and Analytics.

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