First Anaplan go-live: balancing quick wins and foundations

Define an operable first Anaplan cycle: scope, data, ownership, exceptions and go-live criteria.
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A first Anaplan go-live requires a choice: which process should enter production now, and which decisions should remain open? A smaller scope can deliver something useful sooner. It can also leave users carrying unfinished work if data, ownership and exception handling remain outside the project.

Our recommendation is to define the first release around a complete business decision. Users should be able to start from identified data, change the assumptions they own, examine exceptions and produce an accepted output. That scope can be small; how it operates must be explicit.

Choose a cycle the team can actually complete

“Move forecasting into Anaplan” leaves too much open to interpretation. A more useful definition might be: “Each month, the owners of one product family in one market review their forecast, resolve exceptions and send an approved version to supply chain.”

This identifies the people, frequency, inputs and output. It also makes deferral possible: other markets, a finer level of detail or a more sophisticated calculation can wait. The first cycle has become testable.

Define the minimum foundations

Building for every possible future requirement takes time without ensuring those requirements will matter. Some structural decisions still deserve attention before features accumulate.

Suggested decisions for a first production release
AreaMake explicit nowPossible later extension
DataSource, owner, identifiers, checks and frequency for the first cycle.Automate an additional feed once its data contract is stable.
ModelDecision granularity, calendar, core dimensions and calculation rules.Add a use case or level of detail once its need is confirmed.
UsersWho enters, views and approves data; how absence and exceptions are handled.Extend to other teams and their access rules.
OperationsCycle owner, correction procedure and acceptance criteria.Add reporting and routines after the first cycle works.

A manual import can be an acceptable starting choice when its owner, checks and frequency are defined. It becomes a weakness when no one knows how to recognise missing data, correct an error or resume the cycle.

An example: reduce coverage while preserving the cycle

Illustrative example, not a client result. A business wants consistent forecasting across several markets. Its first release covers one market and one product family. It includes sales loading, assumption review, an exception list and forecast approval.

The team postpones geographical expansion and more advanced promotion calculations. It preserves shared identifiers, the planning calendar and the distinction between historical data, assumptions and approved versions. It can test a complete routine before expanding it.

Delivering only an attractive input screen while approval and consolidation remain in separate files still leaves a fragmented process. The release may look smaller, but production has not yet solved the stated problem.

Write go-live criteria before the final demonstration

  • The business owner can execute the agreed cycle and explain its output.
  • In-scope data reconciles to an accepted reference within an explicit tolerance.
  • Representative users have the access and instructions they need.
  • A known exception and a loading failure have been tested with their recovery procedures.
  • Every deferred item has a reason, a consequence and a decision owner.

Adapt these criteria to the project. Their purpose is to distinguish a successful demonstration from a cycle the organisation is ready to operate.

What the first release should teach the programme

After the first cycle, examine what required unexpected intervention: data, understanding of rules, permissions or approvals. Those observations should inform the next release. A roadmap becomes more credible when it explains what is confirmed, what remains an assumption and what has just changed.

Scoping the first release therefore connects business value, data readiness and operational capacity. For further reading, see the data foundations of an EPM project and the breakdown of Anaplan project costs.

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