Even the best systems can’t save you from messy data. If your foundation is shaky, AI, automation, and analytics will only magnify the cracks. Here's how to fix it.
If your data is inaccurate or unreliable, your systems will be too.
That may sound obvious, but it’s one of the most common issues we see with companies investing in Salesforce and digital commerce platforms. Leaders often invest in automation, AI, and analytics—but overlook the condition of the data those systems rely on first.
And when the foundation is shaky, the cracks start to show—fast.
Think about everything that powers your commerce operation:
When this data is fragmented, outdated, or spread across disconnected systems, it becomes a blocker—not a catalyst. Even the best technology stack can’t overcome messy data. In fact, it tends to magnify the problems.
Before you roll out a new capability or double down on AI, take time to assess your current state. Here are a few hard questions we recommend asking:
Even getting 60–70% clarity on these questions can shift your approach.
Companies that want to move from reactive to strategic should be working toward a data foundation that is:
You don’t need perfection overnight. But you do need a plan.
If you landed in the "medium" range on our Data Readiness survey, that means your business isn’t broken—but it’s not ready to scale, either. You likely have untapped value sitting in your systems—and without some strategic cleanup, future projects (like AI, Agentforce, or personalization) are going to stall or underperform.
Now’s the time to course-correct.
We help Salesforce customers get their data house in order—before they bet big on the next thing. That can include:
You don’t need to rebuild from scratch. You just need the right plan and the right partner.
Let’s figure out where to start.
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