# Epicor DMT Load Duration Estimator

> Source: https://netray.co/tools/epicor-dmt-load-duration-estimator
> Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems.
> Section: Free Tools

## Short answer

Estimate how long your DMT loads will run in a cutover, from record counts, a measured rate, error reloads and overhead per file.

## Category

epicor

## Erp

Epicor Kinetic

## Industry

ERP Implementation

## Audience

- Epicor consultant
- Data migration lead
- Project manager

## Tool

**Kind:** calculator

**Inputs:**

#### Total records to load

**Key:** records

**Type:** number

**Default:** 150000

**Min:** 0

**Step:** 1000

**Unit:** records

**Help:** Sum across parts, BOMs, customers, suppliers, open orders and balances.

#### Measured load rate

**Key:** rate

**Type:** number

**Default:** 400

**Min:** 1

**Step:** 10

**Unit:** records/min

**Help:** Time a sample load on the target environment. Rates differ a lot between tables.

#### Number of DMT files

**Key:** files

**Type:** number

**Default:** 40

**Min:** 1

**Step:** 1

**Unit:** files

#### Overhead per file

**Key:** overhead

**Type:** number

**Default:** 4

**Min:** 0

**Step:** 0.5

**Unit:** min

**Help:** Open, validate, review log and check counts.

#### Expected error rate

**Key:** err

**Type:** number

**Default:** 3

**Min:** 0

**Max:** 50

**Step:** 0.5

**Unit:** %

**Help:** Rows that fail and must be corrected and reloaded.

#### Contingency buffer

**Key:** buffer

**Type:** number

**Default:** 120

**Min:** 0

**Step:** 15

**Unit:** min

#### Planned rehearsal loads

**Key:** rehearsals

**Type:** number

**Default:** 3

**Min:** 1

**Max:** 10

**Step:** 1

**Unit:** runs

**Outputs:**

#### Raw load time

**Key:** load_min

**Expr:** records / rate

**Format:** minutes

#### Error reload time

**Key:** reload_min

**Expr:** records * err / 100 / rate

**Format:** minutes

#### File overhead

**Key:** over_min

**Expr:** files * overhead

**Format:** minutes

#### Time for one full load cycle

**Key:** cycle

**Expr:** load_min + reload_min + over_min

**Format:** minutes

**Primary:** true

#### Cutover window needed

**Key:** window

**Expr:** (cycle + buffer) / 60

**Format:** hours

**Primary:** true

**Description:** One load cycle plus contingency.

#### Total rehearsal effort

**Key:** rehearse

**Expr:** cycle * rehearsals / 60

**Format:** hours

**Chart:**

#### Load cycle time vs total records

**Type:** line

**X:** records

**From:** 10000

**To:** 500000

**Steps:** 25

**Series:**

- cycle

**Disclaimer:** A planning aid only. Always time real loads on your own environment. Dependencies between tables can force serial loading.

## Content

**Intro:** Cutover weekends fail when the data load takes twice as long as planned. This estimator turns record counts and a measured load rate into a realistic window, including the error reloads and per-file checking that people forget. Use it to decide how many rehearsals you need and whether the go-live window is long enough.

**Sections:**

#### How to use it

**Body:** Time a sample load of each major DMT file in the target environment, then use a blended records per minute figure. Enter the total record count, the number of files, and the minutes your team needs to open, validate and check each one. Add the error rate seen in rehearsal and a buffer. The tool returns the time for one full cycle and the window to book. Rerun it with the rate from each rehearsal; it should converge.

**Bullets:**

- Rates vary by table: BOMs and operations are slower than simple masters
- Load sequence matters, parts before BOMs, customers before orders
- Never assume the production rate equals the test rate

#### The estimation logic

**Body:** The total is the raw load time, plus the time to reload the rows that fail, plus a fixed overhead for each file. The chart is linear in records, which is the main insight: doubling volume doubles the cycle. If the window is too short, the levers are to cut the data scope (open items only, not history), parallelize independent loads, or improve data quality to reduce reloads.

#### Reading the output

**Body:** In the default example, raw loading is about six hours, with another 11 minutes for reloads and nearly three hours of per-file overhead, so one cycle is around nine hours. Add the buffer and you need roughly eleven hours. Notice that overhead is nearly a third of the cycle: automating validation checks is often a better investment than a faster server.

#### Common mistakes

**Body:** Teams forget that a rehearsal must be run end to end, including reconciliation, or that a fix to one file forces a reload of dependents. They also load history nobody uses. Agree what data is truly needed on day one, load balances rather than transactions where accounting allows, and keep a signed-off reconciliation list so the cutover has clear exit criteria.

**Cta:** If you are planning an Epicor data migration and want a second pair of eyes on scope and sequencing, we can review the plan with your team.

**Faq:**

#### How do I measure the load rate?

**Answer:** Load a representative sample, perhaps a few thousand rows of each major file, into the target environment and divide records by elapsed minutes. Repeat at a quiet time of day, as network and database load can change the number.

#### What error rate should I expect?

**Answer:** Early rehearsals can show double-digit rates; by the final rehearsal it should fall to low single digits. A high rate on the final run means data cleansing, not tooling, is the problem.

#### Can DMT loads run in parallel?

**Answer:** Independent files can often be loaded at the same time, but dependent ones cannot. Check the load order, and remember that parallel runs may slow each other down, so test the combined rate.

#### How many rehearsals do I need?

**Answer:** Most projects plan at least two or three full rehearsals. The last should run to the real timetable with the people who will do the cutover, and should be signed off against reconciliation checks.

## Search terms

epicor dmt load time, epicor data migration cutover, epicor dmt performance, data migration duration estimate, epicor go live cutover plan, dmt rehearsal planning, epicor data conversion

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