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The Difference Between Old and New Ways of Visualizing Your Data in Ardoq
The Difference Between Old and New Ways of Visualizing Your Data in Ardoq
Anastasia Titova avatar
Written by Anastasia Titova
Updated over 3 months ago

Old Access Pattern: “Open Everything First, Remove What I Don’t Need”

The Old Access Pattern refers to the conventional method of managing and accessing data within Ardoq. This pattern is primarily based on the workspace-data-loading paradigm.

A user needs to open a complete workspace to navigate and visualize data; this is the "open everything first, remove what I don't need" approach. This method may result in performance issues and overwhelm users with large data sets.

As you can see below, visualizing extremely large data sets this way in Ardoq, could take 40-50 minutes.

New Access Pattern: “Open Only What I Choose to See, Not Everything”

Originally, we utilized workspaces both for data exploration and access. The New Access Pattern refers to the updated approach to data access in which users can selectively access their data.

Unlike the old method, which opened all the data in a workspace, the New method allows you to select a dataset with just the specific data you want to see.

This approach greatly improves performance and time to value.

Performance Improvements of the New Way

My goal

Data size example

Through Workspaces [OLD WAY]

Through Viewpoint Builder [NEW WAY]

Finding the right data: E.g. I, as an enterprise architect, want to see the list of applications owned by our organization.

~10.000 components

~70.000 references

~45 minutes

~4 minutes

Create and share insights with other stakeholders: I, as an enterprise architect, want to share with the COO a view showing the list of experts who can support our organization with all existing business capabilities.

~ 37.000 components

~22.000 references

~50 minutes

~3 minutes

When to Use Old And New Ways

Taking into account today's feature capabilities, here are the cases when a user might benefit from the old or new way of accessing or visualizing the data.

We recommend doing this the OLD way

We recommend doing this the NEW way

When you want to do data entry and editing

When you're working with extremely large datasets

When you want to use views that are not supported by the new viewpoints

When you want to view and explore data

When you want to use a Relationship view, Timeline, Block Diagram, or Dependency Map to visualize your insights

How To Use the New Way of Accessing Data and Generating Insights

What Will Happen to Workspaces Functionality in the Future?

Workspaces as an organizational structure will not go away. The purpose of the workspaces evolves from the standard way of accessing your data to simple data storage functionality. So, you can still use workspaces to store and organize your data, but we recommend using the viewpoints to access data or generate insights.

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