Use Cases

Case 1: Data Engineer at a Popular DeFi Protocol

As DeFi protocols gain more popularity and grow their user-base, the demand for more transparent and detail-oriented analytics continuously grows. Here is a take on a specific case-study, a data engineer who leads their data team at a rising DeFi protocol.

Currently, your data needs are being met through various and scattered dashboards built on platforms with lock-in. Some data is wrangled with SQL, a querying language being forced into a visualizations schema, while other data exists between a set of Google Sheets scattered in your protocol's organization. Now that your protocol has grown, your data team has grown allowing you to produce more and more metrics for your protocol's users. However, the current method of data analysis currently being pushed to its limits.

Now that your protocol has reached peak popularity, your analytics aren't up to standard and require an in-depth re-do. In the process of fixing this ever-growing issue, you've hired web2 analysts hoping to speed up the solution. However, your current solution for providing analytics is based on a platform with heavy lock-in forcing the new analysts you hired to learn new skills from scratch which slows your revamp even further.

Now, revisit this crisis using Subgrounds. Leveraging the Graph's large library of data models, you are now able to model the data you need and send it to a familiar data environment, Python. This provides the new data analysts hired from web2 the exact same working environment in web3 allowing them to speed through the data calculations and visualizations. Now, you can provide transparency your protocol's user base, saving the day.