Fourth Dimension

FOURTH DIMENSION Decision Support Tools

 

Data is an invaluable asset for businesses and can be used to provide insights which drive growth and improved decision-making. However, with so much data available, it can be overwhelming trying to figure out where to start. That’s where drill down and drill through analysis come in handy. By using these powerful techniques, you can unlock the full potential of your data.

 

Contents

Drill Down Analysis

How to Perform Drill Down Analysis

Benefits of Drill Down Analysis

Drill Through Analysis

How to Perform Drill Through Analysis

Benefits of Drill Through Analysis

Drill Down vs Drill Through Analysis

Tools for Data Analysis

Tips for Data Analysis

Conclusion

 

What is Data Drilling

Data drilling is a common BI technique that allows businesses to investigate their data through various perspectives, enabling them to gain extremely valuable insights. This article discusses two of the more common data drilling types, including drill down and drill through analysis.

These types are practical for businesses to uncover the reasons behind why trends and relationships occur. As is typical for any data analytics process, the quality of the drilling will depend upon the quality data. Thus, it is essential that the data is cleaned and collected appropriately.

 

What is Drill Down Analysis

Drill down analysis is a technique used to analyse data more granularly. It involves breaking down data into smaller, more specific parts to identify trends and patterns that may not be immediately apparent. In other words, drill down analysis involves looking at the details of specific data to understand the bigger picture. It enables businesses to analyse data through various different perspectives

To perform drill down analysis, you must start with a high-level view of your data, such as a dashboard or report. From there, you can select a data point or metric you want to investigate further. By ‘drilling down’ into that data point, you receive more detailed information about it. For example, you might start with a sales report that shows total revenue by region. You could then drill down into a specific region to see which products are selling the most in that area.

The most beneficial aspect of drill down analysis is that it allows you to identify specific areas of your business that may be underperforming. By drilling down into the data, you can pinpoint the exact problem and take action to address it.

 

How to perform drill down analysis

To perform drill down analysis, you need to use specific tools that allow you to explore your data in more detail. For example, Power BI, Tableau and Excel are just a few of the many tools available in the industry for data analysis. These tools allow you to create interactive dashboards and reports customisable to meet your specific needs.

Once you have a specific tool selected for the drill down analysis, start by creating a dashboard or report showing an overview of your data. From there, select a data point or metric you want to investigate further. Use the selected tool to drill down into that data point and explore it in more detail. Look for patterns and trends that may not be immediately apparent in the overview.

When performing drill down analysis, keeping your end goal in mind is essential. What insights are you hoping to gain from the data? What actions do you plan to take based on those insights? By keeping your end goal in mind, you can ensure that your drill down analysis is focused and effective.

Benefits of drill down analysis

Drill down analysis has numerous benefits for businesses. First, it allows businesses to make more informed decisions as they are able to identify trends that were otherwise unapparent. Further, drill down analysis grants businesses the opportunity to identify areas underperforming. By drilling down into the data, you can pinpoint the exact problem and take action to address it. This can help you improve your bottom line and drive growth for your business.

Another benefit of drill down analysis is that it allows you to identify areas that may be improved. Analysing your data in detail may uncover areas where you can make changes to improve efficiency or increase revenue. This can help you stay ahead of the competition and ensure your business always operates at peak performance.

What is drill through analysis?

Drill through analysis is a technique used to analyse data by jumping from one report to another. It involves starting with a high-level report and then drilling through to a more detailed report to explore a specific aspect of the data in more detail. It may appear similar to drill down analysis, however, there is a fundamental difference. Whilst both techniques allow users to navigate data on a higher level, drill down provides more granular information within the same window, whereas drill through allows users to explore other relevant aspects of the data in more detail. 

To perform drill through analysis, it is necessary to start with a high-level report that provides an overview of your data. A high-level report is an extensive overview of the performance, finance and operations of a business. Its primary purpose is to convey key information to stakeholders, thus allowing areas of success and concern to be identified. Once a high-level report has been constructed, you can select a data point or metric you want to investigate further. By drilling through to a more detailed report, you can explore that data point in more detail and gain a deeper understanding of it.

For example, you might start with a sales report that shows total revenue by region. You could then drill through to a report that shows revenue by product in that region. This would allow you to see which products drive revenue in that area.

How to perform drill through analysis

To perform drill through analysis, you need to use a tool that allows you to jump from one report to another. Most data analysis tools, such as Power BI and Tableau, have built-in functionality for drill through analysis.

To perform drill through analysis, first create a high-level report that provides an overview of your data. From there, select a data point or metric you wish to investigate further. Use the selected tool to drill through to a more detailed region of the report that explores the specific data point in greater detail.

When performing drill through analysis, ensuring your reports are well-designed and easy to navigate is critical. Users should be able to jump from one report to another seamlessly without getting lost or confused.

Benefits of drill through analysis

Drill through analysis has many benefits for businesses. By jumping from one report to another, you can explore your data in more detail and gain a deeper understanding of it. This aids in making informed decisions about your business and identifies opportunities for improvement. 

One of the key benefits of drill through analysis is that it portrays the big picture effectively while still providing specific areas of the data that can be investigated in detail. Essentially, users can dig through multiple data layers whilst keeping the same form of visualisation. This allows businesses to identify trends and patterns that may previously be obscure and monitor various perspectives without requiring a new report each time. 

Also, drill through analysis allows you to customise your analysis based on your specific needs. By jumping from one report to another, you can explore your data in a way tailored to your business goals and objectives.

Finally, drill through reports allow users to alter the data structure with just one click, which is beneficial for when companies require several different interpretations of the data simultaneously. This can be done expeditiously resulting in a swift analysis and speedy uncovering of insights.

 

Differences between each analysis technique

To expand on what was stated previously, there are some further differences between drill down and drill through analysis. While drill down and drill through analysis are both techniques used to analyse data in more detail, there are some integral differences between the two.

Drill down analysis involves breaking down data into smaller, more specific parts to identify trends and patterns. It is focused on exploring the details of the data to understand the bigger picture.

Drill through analysis, on the other hand, involves jumping from one report to another to explore specific areas of the data in more detail. It focuses on exploring the data in a way tailored to your particular needs.

Both techniques have their own benefits and drawbacks, and the choice of which one to use will depend on your specific business goals and objectives.

When to use each analysis technique

The choice of whether to use drill down or through analysis will depend on the specific goals of your analysis.

Drill down analysis is best used to identify areas of your business that may be underperforming, whereas drill through analysis is best used when you want to explore specific areas of your data in more detail.

Tools for data analysis

Many tools are available for data analysis, including Power BI, Tableau, Excel, and more. These tools allow you to create interactive dashboards and reports that can be customised to meet your specific needs.

Power BI is a powerful data analysis tool that allows you to create interactive dashboards and reports. It is a cloud-based service that can be accessed from anywhere, making it ideal for businesses with remote teams.

Tableau is another popular data analysis tool that allows you to create interactive dashboards and reports. It is known for its intuitive drag-and-drop interface, making it easy to create customised reports without coding knowledge.

Excel is a widely used spreadsheet program with built-in data analysis tools. While it may not be as powerful as some other tools on the market, it is a cost-effective option for businesses just starting out with data analysis. Ideally, you want to start here. Once you are comfortable with the processes, you should start to consider more powerful tools that will cater more directly to your specific business goals. 

Fourth Dimension is an alternative tool that provides a similar range of functionality as the above mentioned tools, at a reduced cost. It is fantastic for businesses just starting out.

Tips for practical data analysis

Practical data analysis requires more than just the right tools and techniques. Here are some tips for making the most of your data analysis:

  • Start with a clear goal in mind. What insights are you hoping to gain from your data analysis? What actions do you plan to take based on those insights?
  • Keep your analysis focused. Don’t try to analyse too much data at once. Instead, focus on specific areas that are relevant to your business goals. If you uncover more than you initially aimed for, put these findings to the side to investigate at a later time. 
  • Use visualisations to communicate your findings. Charts and graphs can make understanding complex datasets more accessible and identify patterns and trends.
  • Don’t be afraid to ask for help. Data analysis can be complex, and asking for assistance is okay if needed.
  • Continuously evaluate and refine your analysis. Data analysis is an ongoing process, and you should constantly evaluate and refine your approach as you gain new insights.

Conclusion

Data analysis is essential to any business, providing valuable insights that can drive growth and improve decision-making. By using these analysis techniques, you can unlock the full potential of your data, uncovering hidden patterns and trends that can make a real difference to your bottom line.

Whether you’re a seasoned data analyst or just starting out, the key to practical data analysis is to stay focused, keep your end goal in mind, and use the right tools and techniques for the job. Don’t forget to take a look at some of the tools we have provided in this article. Keep these tips and strategies in mind, as they can maximise your data and take your business to the next level. So, what are you waiting for? Start exploring your data today and unlock its full potential!