Editorial note: This article is a fictional reconstruction of situations businesses may face. Its purpose is to inform and raise awareness about possible risks and responses. People, events, data and outcomes should not be interpreted as actual cases, verified facts or results achieved by LC. Each organization needs its own assessment.
In the monthly meeting, sales reports 120 orders while operations reports 108. Both teams believe they are right. Data integration makes records from different sources usable together with shared meaning; copying tables into a dashboard is not enough. Alicia starts by asking what each system counts and when it updates.
One word may hide two events
Sales counts confirmed orders; operations counts only those released for delivery. Twelve await credit or missing information. Alicia defines each status, identifies a shared ID and documents who may change it. The difference stops looking like a mistake and starts describing a process stage.
Connect one journey, not every system
The team tests following an order from confirmation to delivery with a small set of fields. They fix duplicates and missing identifiers before automating synchronization. If they cannot reconcile twenty cases by hand, an automatic connection will move inconsistencies faster without solving them.
The dashboard should support a decision
With the journey defined, Alicia displays orders stalled by reason and days waiting. An owner reviews what to unblock every week. The team also assigns data quality ownership. Integration's value is not one screen; it is sales and operations coordinating the same customer promise.
Before connecting systems, agree on what each data point means and the decision it should support.
BRING IT TO YOUR BUSINESS
Three questions to get started.
- What event does each system count?
- Is there a shared identifier?
- Who will resolve a mismatch?
Does this sound like a challenge in your business? We can start with a conversation.
Talk to LC↗