Integrations between systems
Data moves between systems automatically, without re-typing.
We connect systems, agree one definition for every figure and build a single source of truth. Then we create a reporting layer management can use to read the company’s situation.
Scope of work
We don't replace systems that work. We connect them and add what is missing between them.
Data moves between systems automatically, without re-typing.
Agreed once and consistent throughout the ecosystem.
Data from the source of truth turned into readable dashboards.
Validation at entry and alerts when data stops flowing.
Where the number comes from
Trust in a report comes from being able to check where the value came from.
Sales documents in the ERP — as of today, 6:00
Sales = shipped and invoiced, excluding internal corrections
Returns deducted in the month the correction is issued
Management report, refreshed nightly, with a data date
illustrative example · your chain will look different
How we run it
We begin with a few figures that are genuinely needed. Choose a stage.
We document where data really lives, including spreadsheets circulating around the company.
Principles
We know what replacement costs and how often it can be avoided. Sometimes it is enough to enable what you already paid for and connect it.
Everyone else reads from it instead of keeping their own version.
Without that, a number stops being an argument.
The solution can be moved to another supplier.
Ctrl+A usually comes before Ctrl+X and Ctrl+Enter.
Questions
Not seeing your question? ALT knows how we work and will answer straight away.
Ask ALTBy checking why — whether ERP data is stale or the system lacks an option you need.
Usually not. Most often we connect what you have and enable functions you already paid for.
Not if we start with a few genuinely needed metrics and widen the scope only after finishing them.
Validations and alerts run automatically, integrations are monitored, and each data set has an owner.
Usually yes. Automation on inconsistent data replicates errors faster, and a model learns from whatever it receives.
We will start there: its definition, source and route into the report.
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