Case Study

Split Elevates Feature Flagging at Moneyfarm

When Home Grown Feature Flagging Wasn’t Enough

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Speed is Gained and Money is Saved

Moneyfarm’s approach to investment combines human guidance and financial expertise with the efficiency of technology to deliver cost-effective solutions to every user.

Before Split, Moneyfarm was using a homegrown solution for feature flagging, a simple system that allowed front-end developers to customize the interface. Their feature flagging tool was very limiting and only allowed them to turn features on or off. Before Split, there was no way to target users and allow for a percentage or gradual rollout when releasing new features to their platform.

With Split, Moneyfarm has a continuous flow of sharable event data clearly illustrating the impact of their features. No one is left wondering whether or not an investment is worth it. In addition to gaining more insightful data attribution, Split has saved a significant amount of time and money for Moneyfarm in the process.

Business leaders say that their organizations need better data and analytics capabilities than they currently have. Without them, empowerment will lead to chaos and poor decisions. Through surveys and interviews, Harvard Business Review discusses how organizations are:

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