# Data Cleansing Batch Effort Calculator

> Source: https://netray.co/tools/data-cleansing-batch-effort-calculator
> Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems.
> Section: Free Tools

## Short answer

Plan a data cleansing or migration clean-up: how many records need manual attention, how many hours, how many weeks and what it costs.

## Category

erp-migration

## Audience

- Data migration lead
- MDM lead
- ERP project manager
- Data steward

## Tool

**Kind:** calculator

**Currency:** $

**Inputs:**

#### Records in scope

**Key:** records

**Type:** number

**Default:** 120000

**Min:** 0

**Step:** 1000

**Unit:** records

#### Fixed by rules or scripts

**Key:** auto_pct

**Type:** slider

**Default:** 60

**Min:** 0

**Max:** 98

**Step:** 1

**Unit:** %

**Help:** Share resolved automatically: case, whitespace, unit mapping, standard abbreviations, defaults.

#### Manual minutes per remaining record

**Key:** manual_min

**Type:** number

**Default:** 4

**Min:** 0

**Step:** 0.5

**Unit:** min

#### Validation sample of all records

**Key:** sample_pct

**Type:** number

**Default:** 5

**Min:** 0

**Max:** 100

**Step:** 1

**Unit:** %

**Help:** Share of all records checked by a second person after cleansing.

#### Minutes per validated record

**Key:** val_min

**Type:** number

**Default:** 2

**Min:** 0

**Step:** 0.5

**Unit:** min

#### People working on cleansing

**Key:** people

**Type:** number

**Default:** 4

**Min:** 1

**Step:** 1

**Unit:** people

#### Productive hours per person per day

**Key:** prod_hours

**Type:** number

**Default:** 6

**Min:** 1

**Max:** 8

**Step:** 0.5

**Unit:** hours

#### Loaded hourly rate

**Key:** rate

**Type:** number

**Default:** 40

**Min:** 0

**Step:** 1

**Unit:** $/hour

**Outputs:**

#### Records needing manual work

**Key:** manual_records

**Expr:** records * (1 - auto_pct / 100)

**Format:** integer

#### Manual cleansing hours

**Key:** manual_hours

**Expr:** manual_records * manual_min / 60

**Format:** hours

#### Validation hours

**Key:** val_hours

**Expr:** records * sample_pct / 100 * val_min / 60

**Format:** hours

#### Total effort

**Key:** total_hours

**Expr:** manual_hours + val_hours

**Format:** hours

**Primary:** true

#### Person-days

**Key:** person_days

**Expr:** total_hours / prod_hours

**Format:** decimal

#### Calendar duration

**Key:** weeks

**Expr:** person_days / (people * 5)

**Format:** weeks

**Primary:** true

#### Labor cost

**Key:** cost

**Expr:** total_hours * rate

**Format:** currency

**Chart:**

#### Total effort hours vs share fixed automatically

**Type:** line

**X:** auto_pct

**From:** 0

**To:** 95

**Steps:** 30

**Series:**

- total_hours

**Disclaimer:** Estimates exclude project management, rule development and tool licences. Add those separately.

## Content

**Intro:** Cleansing effort is dominated by how many records you can fix with rules and how many a human must touch. This calculator makes that trade-off visible, giving hours, weeks and labor cost for a cleansing batch and showing how each extra point of automation pays back.

**Sections:**

#### How to use it

**Body:** Enter the records in scope for the migration or cleanup wave. Estimate the automated share by profiling a sample: run rules for case, trimming, unit of measure mapping and standard descriptions, and count what is still failing. Manual minutes should reflect investigation such as looking up a supplier catalog, not just typing. Validation is a second-person check on a sample of the cleansed output, which is the control that tells you whether the first pass was good. Team size and productive hours turn effort into calendar weeks, assuming a five-day week.

#### The method and what the chart shows

**Body:** Manual hours equal records times one minus the automated share, times minutes per record, divided by sixty. Validation hours are records times the sample share times validation minutes, divided by sixty. Total effort is their sum, person-days divide by productive hours, and calendar weeks divide person-days by team size times five. The what-if chart sweeps the automated share from zero to 95 percent. Effort falls steeply at first, then flattens toward the fixed validation floor, which shows where building more rules stops being worth it.

**Bullets:**

- Manual hours = records x (1 - auto %) x minutes / 60
- Validation hours = records x sample % x minutes / 60
- Weeks = person-days / (people x 5)

#### Common mistakes

**Body:** Teams often assume a high automated share before they have profiled the data, then discover that free-text descriptions and missing attributes resist rules. Another trap is excluding the validation sample to hit a date, which pushes defects into the new ERP where they cost many times more to fix. Also remember that cleansing is iterative: load rehearsals reveal new defect classes, so budget two or three passes rather than one. Finally, subject matter experts such as engineers are scarce, so check their availability separately from the headcount used here.

**Cta:** Where manual minutes are spent on lookups and normalizing free text, language models running on your own hardware can propose fixes for a person to accept. Netray can scope that against your actual data profile.

**Faq:**

#### What is a realistic automated fix share?

**Answer:** It depends on how structured the source is. Formatting and mapping defects automate well, often covering half of all findings or more. Missing technical attributes and ambiguous descriptions usually need a human or a cross-reference source.

#### How large should the validation sample be?

**Answer:** Use the master data audit sample size calculator to choose a statistically sound figure. For quick planning, five percent of cleansed records is common, with a higher rate for critical fields.

#### Does this include rule development time?

**Answer:** No. Building and testing scripts, mappings and match rules is separate project effort. Treat it as an upfront cost that moves the automated share up and the manual hours down.

#### Can I use it for vendor and customer data?

**Answer:** Yes. Adjust manual minutes upward for records needing external verification, such as tax IDs or bank details, and add a compliance review step where regulations apply.

## Search terms

data cleansing effort estimate, data cleanup project plan hours, erp data migration cleansing cost, how long to clean master data, data cleansing calculator, migration data cleanup estimate, manual data cleansing hours

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