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Data and decisions

How do you make sound decisions with scattered company data?

Article image showing different information sources coming together

Short answer

First choose the decision you want to make. Then clarify what the necessary data means, where it comes from and when it is updated. Putting every file on one screen is not a solution by itself; if the same task looks different in two places, the indicator will also mislead.

Example: “Which jobs are delayed?”

Operations may keep the delivery date in a spreadsheet, sales may keep customer notes in CRM and the project manager may track the latest status in messages. When the manager asks for delayed work, three different answers appear. First, agree on what “delay” means: a delivery date promised to the customer, an internal target or a task waiting for approval? Then define a unique identifier, owner and last-update time for each task.

Three decisions before the decision dashboard

  1. Authoritative record: When the delivery date changes, which tool's value takes precedence? Who corrects two conflicting records?
  2. Shared definition: Do “open work” and “delayed delivery” mean the same thing to everyone?
  3. Freshness: How often will the screen refresh? Will users be able to see when it was last updated?

These are the core dimensions of data quality. Google Cloud's data quality definitions addresses completeness, consistency, accuracy and timeliness separately. Saying “the data is clean” does not show which problem has been solved.

What does a small first version look like?

List only the work due for delivery this week. Each row should include the customer, task owner, promised date, current status, pending step and the source's last update. Do not hide missing records; show “date unknown” or “owner unassigned.” The team first checks whether the list is accurate. Once the correct list is in use, alerts, summaries and AI-assisted question answering can be added.

Checklist

  • Can the first decision question be stated in one sentence?
  • Does each field have an authoritative source and someone responsible for corrections?
  • Are duplicate records and empty fields visible?
  • Can you trace the number on the screen back to its source record?

WhiteGate connects the tools needed for the chosen decision, clarifies the records' meaning with your team and builds the screen used in daily work. the guide to connecting tools read or talk through your decision question.

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Initial call

Clarify the workflow
[turn it into a system]
let's build it together.

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