Planning models · not client results

See how migration decisions
are measured.

These planning examples show the baseline, target, measurement window and evidence source Bayna Studio records for a migration decision. The values are illustrative, not client results or prices.

01 / Release flow

Illustrative planning scenario

A six-week release cycle is constrained by manual handoffs.

Observed baseline6 weeks

between production releases

Modeled target2 weeks

after separating release paths

Manual handoffs
11 → 5
Change window
2 h → 30 min
Evidence
Pipeline history + signed release record

The decision is not “move faster.” It is whether five explicit gates can replace eleven person-to-person handoffs without exceeding the 30-minute operating window.

02 / Run cost

Illustrative planning scenario

A recurring-cost model separates monthly operation from one-off migration work.

Current monthly run cost€18,400
−
Modeled stable run cost€11,900
× 12 =
First-year recurring difference€78,000
Formula
(€18,400 − €11,900) × 12
Excluded
One-off migration cost
Evidence
Invoices + agreed cost model

No value is assigned to avoided incidents. The model remains useful only if the same services, usage window and ownership boundary are compared.

03 / Data separation

Illustrative planning scenario

A reporting service moves first while the transaction core stays live.

9shared schemas mapped
4critical integrations replayed
21 daysparallel validation
>0.5%variance triggers rollback review
First move
Reporting reads
Known state kept live
Transaction core
Evidence
Reconciliation log + acceptance sign-off

The 21-day period is not a universal recommendation. It is a modeled measurement window tied to a specific rollback condition.

Calibration rule

Replace every example with
your platform data.

  1. Observethe current platform baseline
  2. Agreethe target and measurement window
  3. Verifyagainst a named technical source

A project record uses the client's real system data, not the illustrative values above.

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