Bringing company data together does not necessarily mean replacing every application. You can keep the tools people already use and collect the information needed for a shared report or process. The first decision is not which database to buy, but which business question the combined data should answer.
Start with one question
For example: “Which accepted orders are waiting for delivery?” That question may need order status from sales and delivery information from operations. It does not automatically need every customer note, attachment or historical transaction.
List the fields required to answer it, who owns them and how people currently find them. This keeps the first version small and makes it easier to verify whether the result is useful.
Make an inventory of the sources
For each spreadsheet, CRM, ERP or device, record the responsible person, available export or API, update frequency and access restrictions. Ask whether the vendor supports the intended use and whether additional access costs apply.
An integration is easier to maintain when it uses a supported interface. If only file exports are available, a scheduled import may be a sensible first step. Do not promise instant updates when the source only produces a daily file.
Agree how records will match
Two systems may use different identifiers for the same customer, product or order. Decide how those identifiers relate before combining totals. Matching solely by a company name can join unrelated records or miss a renamed business.
Also agree what terms mean. “Revenue,” “completed” or “active customer” may have different definitions across departments. A shared report needs documented definitions, not just columns with similar names.
Choose an update schedule that serves the decision
A weekly planning report may not need live updates. A view used to dispatch work may need much fresher information. Display the last successful update and make missing sources visible rather than quietly treating them as zero.
Google’s pipeline-planning guidance distinguishes data freshness and correctness as measurable goals. The useful principle is to agree how current and reliable the information must be before building the connection.
Start read-only and check the result
For a first reporting project, read-only access can avoid changing the systems people depend on. Compare imported records and totals with their sources. Include cancelled orders, duplicate records and changes made after the first import.
Keep enough traceability to explain where a number came from. Limit access by role and collect only the data needed for the agreed purpose. Centralisation should not give everyone access to everything.
What should the first delivery include?
Ask for a working view, documented definitions, an update schedule, an owner for failed imports and a way to correct mistakes. Run it alongside the existing report until the team understands any differences.
Our data collection and visualization service covers this type of integration. A useful starting brief is one question, a list of sources and an example of the report your team prepares today.