Blog by Railsware

How to Streamline Decision-Making with a 3D View of Data

For most business leaders, making decisions with data isn’t a speedy process. Take a recent survey by McKinsey, for example, where 57% of C-level executives reported not using their decision-making time effectively. Even when we make this activity a priority, many of us struggle to stay on task and reach a verdict within the deadline.

There’s more than one reason for that, and I don’t claim to have the cure. However, anyone can take their decision-making game to the next level by seizing the right approaches. Even the most unglamorous of tools – the spreadsheet – holds a ton of potential. You just need to know how to organize and customize it properly.

So, let me introduce the concept of 3D View of Data – a clever way to squeeze more business insights out of your spreadsheet dashboards. It won’t take long to implement this approach and see the benefits, which include easier access to contextual data, improved focus, and a faster decision-making process in general.

What is a 3D View of Data?

A 3D View of Data is an approach to consolidating business data in a large, well-organized spreadsheet. It’s a convenient way to analyze related data in one place, without overcrowding the dashboard or overwhelming yourself.

In more technical terms, it involves embedding additional data within a spreadsheet row, cell, or column. Only by clicking on the element can you reveal this bonus information. In an instant, you get a compact, layered view that allows you to explore a specific data point in more detail.

3D View of Data in action

For example, let’s say you are looking at a product team dashboard that contains information on all teams: engineering, design, etc. While reviewing marketing numbers, you decide to dig a bit deeper into team allocations. You want to know why the team number says 6.5, for example, and not just 6.

Instead of switching to another tab and scanning your org map, you click on the cell labeled ‘marketing’ in the spreadsheet, revealing a neat list of names, roles, and percentage of allocation to each marketing project. There it is – the 0.5 in your team number accounts for a part-timer or someone with a 50/50 allocation between 2 projects.

Here’s a similar example from a Railsware company overview dashboard (otherwise known as one of my ‘dashboards of dashboards,’ built to consolidate key data from projects, products, and functions). The right side of the image demonstrates a 3D View of one of our product teams. The data is ordered by function and extent of allocation.

I call this approach ‘3D View of Data’ because it brings clarity and dimension to numbers on the screen. It’s almost like looking at a cutaway drawing of a multi-story building. Imagine a structure that holds all of your business data: each floor represents a different function, and every room stores specific insights.

Instead of taking the metaphorical elevator up and down, you see related information displayed side by side. The magic of this approach lies in choosing what you see, exactly when you want to see it.

Why take a 3D View approach to data analysis?

Before I dive into the benefits of this approach, let’s take a step back and examine why many business leaders struggle with data-driven decision-making.

Having dabbled in functions like finance and product management, I’ve seen how prevalent these issues are. And I’m no stranger to them myself. The fact is, data is useless if we don’t organize, automate, and analyze it properly. The right tools and expertise are essential. But we also need practical approaches to help mitigate human weaknesses, like our shortening attention spans.

Key benefits of a 3D View of Data approach

What are the main advantages of creating a 3D View, for both business leaders and the organization as a whole?

To complement the 3D View of Data, business capability modeling can add an extra layer of strategic clarity. By mapping key business capabilities and their data dependencies, this method provides a structured way to align data with broader business objectives. Together, these approaches enable leaders to see not only the data but also how it ties into the organization’s operational strengths, driving more informed, strategic decisions that align with long-term business goals.

The main takeaway here: enhancing the functionality of your trusty, go-to dashboards is one of the most convenient ways to streamline data-driven decision-making.

Why use spreadsheets to build a 3D View?

After all of that, you might be wondering – why use spreadsheets in the first place? Why not play with other, more ‘sophisticated’ data visualization tools to get a similar result?

Trust me, it’s no accident. There are several reasons why we use spreadsheets (specifically GSheets) to design ‘dashboards of dashboards’ and solutions like 3D View of Data.

On the one hand, it’s a personal preference. We are heavy Gsheets users at Railsware and always have been. It’s our go-to for data analytics across several functions: finance (of course!), HR, product management, and so on. Is it any wonder that Coupler.io, our data analytics and automation platform, started as a GSheets add-on?

On the other hand, we use spreadsheets because they are:

  1. Highly customizable, allowing for the implementation of approaches like a 3D View and other automations or UI enhancements (extended view to display more data, custom visualizations, etc.)
  2. Supportive of countless integrations, ensuring we can extract data from a huge variety of business sources.
  3. Easy to use with a low learning curve. Anyone, regardless of their specialization, can grasp how to use and interpret spreadsheets. 

Next steps and alternative approaches

Small warning: implementing a 3D View of Data requires some amount of technical knowledge: custom spreadsheet formula, data extraction, etc. For best results, I’d recommend working closely with someone from your data analytics team.

Just remember – it’s up to you to define the connections. Where can you close gaps in your understanding? What type of connections could save you time? e.g. product MRR + deeper insights into user churn and paid signup fluctuations.

On the other hand, not every dashboard in your organization needs a ‘3D’ enhancement. As I mentioned earlier, this approach is best suited for ‘dashboards of dashboards,’ i.e. wide spreadsheets containing key metrics from multiple products and functions.

In general, our teams use a combination of spreadsheets and visualization-heavy dashboards to inform decision-making. It all depends on team preferences and use cases.

But with an incredible product like Coupler.io at our disposal, it’s easy to blend data visualization approaches. If you aren’t ready to implement a 3D View of Data approach, I’d recommend checking out Coupler.io’s range of dashboard templates for sales, finance, marketing, and more.

For tailored advice on how to organize, visualize, and automate your business data, book a consultation with our team of data experts.

Final thoughts

Companies that want to embrace a data-driven culture must start at the top. It’s up to business leaders to lay the groundwork by adopting the best tools and techniques. While a 3D View of Data approach isn’t a silver bullet, it’s a step in the right direction.

To quickly recap, what can you gain from a 3D View of Data approach?

If a 3D View of Data sounds promising, you might also be interested in BRIDGeS, our framework for multi-context decision-making, and theHeart – our approach to building customer-centric products from the start. And if you happen to be looking for a product development partner, don’t hesitate to get in touch with our team.

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