# SAP PP Cutover Data Load Tracker

> Source: https://netray.co/tools/sap-pp-cutover-data-load-tracker
> Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems.
> Section: Free Tools

## Short answer

An editable tracker for PP master data loads during migration cycles, with load success rates and remaining records.

## Category

sap

## Erp

SAP S/4HANA

## Audience

- SAP PP consultant
- Data migration lead
- Project manager

## Tool

**Kind:** worksheet

**Mode:** editable

**Columns:**

#### Migration object

**Key:** object

**Type:** text

#### Cycle

**Key:** cycle

**Type:** select

**Options:**

- Mock 1
- Mock 2
- Mock 3
- Dress rehearsal
- Go-live

#### Owner

**Key:** owner

**Type:** text

#### Source records

**Key:** source

**Type:** number

#### Loaded OK

**Key:** loaded

**Type:** number

#### Errors

**Key:** errors

**Type:** number

#### Remaining

**Key:** pending

**Type:** number

**Expr:** source - loaded - errors

**Format:** integer

#### Success rate

**Key:** rate

**Type:** number

**Expr:** loaded / source * 100

**Format:** percent

#### Status

**Key:** status

**Type:** select

**Options:**

- Not started
- In progress
- Blocked
- Signed off

**Rows:**

**Object:** Material master

**Cycle:** Mock 2

**Owner:** Data lead

**Source:** 12400

**Loaded:** 12010

**Errors:** 390

**Status:** In progress

**Object:** Work centers

**Cycle:** Mock 2

**Owner:** PP lead

**Source:** 180

**Loaded:** 178

**Errors:** 2

**Status:** Signed off

**Object:** Bills of material

**Cycle:** Mock 2

**Owner:** Engineering

**Source:** 6200

**Loaded:** 5400

**Errors:** 800

**Status:** Blocked

**Object:** Routings

**Cycle:** Mock 2

**Owner:** Industrial eng.

**Source:** 5800

**Loaded:** 5200

**Errors:** 250

**Status:** In progress

**Object:** Production versions

**Cycle:** Mock 2

**Owner:** PP lead

**Source:** 4300

**Loaded:** 0

**Errors:** 0

**Status:** Not started

**Totals:**

#### Total source records

**Key:** source

**Agg:** sum

**Format:** integer

#### Total loaded

**Key:** loaded

**Agg:** sum

**Format:** integer

#### Total errors

**Key:** errors

**Agg:** sum

**Format:** integer

**Summary:**

#### Overall success rate

**Key:** overall

**Expr:** sum_loaded / sum_source * 100

**Format:** percent

**Primary:** true

**Notes:** Load order matters: work centers and materials first, then BOMs, routings and production versions. Record error themes in your issue log, not just counts.

## Content

**Intro:** PP master data load cycles produce a lot of numbers and few clear answers on readiness. This tracker shows counts, error volumes and success rates per object for each mock cycle.

**Sections:**

#### How to use the tracker

**Body:** Add one row per migration object per cycle. Enter source counts from the legacy extract, loaded and error counts from the migration tool logs, and update status. The sheet computes remaining records and the success rate. Compare cycles to prove error rates are falling before go-live.

#### Reading readiness

**Body:** A good trend matters more than one number. Many programs expect each mock to reduce errors, with dress rehearsal reaching a threshold the business signs off, often well above 98 percent for critical objects. Blocked objects, such as BOMs failing on missing materials, show dependency problems. Fix the root cause once in the source rather than patching records.

**Bullets:**

- Load work centers before routings
- Load materials before BOMs
- Track errors by theme
- Rehearse the timing of the final load

#### Common mistakes

**Body:** Counting a record as loaded when it passed technical load but has wrong content. Not reconciling counts against the legacy system. Leaving production versions to the end, which blocks planning tests.

**Cta:** Netray can analyze legacy BOM and routing data to find errors before the first mock load.

**Faq:**

#### What load order is typical for PP?

**Answer:** Plants, work centers and materials first, then BOMs, routing and production versions, with planning data such as MRP views loaded with materials. Dependencies in your tool decide the final order.

#### How many mock loads are needed?

**Answer:** Most projects run at least two or three mocks and a dress rehearsal. The count depends on data quality and the size of the scope.

#### What success rate is acceptable?

**Answer:** Set it by object. Critical objects usually need near complete loads, while some history can be loaded later. Agree thresholds with the business before the cycles start.

#### Should errors be fixed in SAP or in the source?

**Answer:** In the source where possible, so each cycle is reproducible. Manual fixes in the target system are lost on the next load.

## Search terms

sap cutover data load tracker, sap data migration tracker excel, sap pp data load checklist, migration cockpit tracking template, sap bom routing load tracker, sap go live data load plan, s4hana migration load status

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