ERP Performance Optimization
We time the operations your users actually complain about, find out where those seconds go, and fix that.
Why It Matters
We sit with the people who are waiting. They name the screens and the jobs: the order save that stalls while a customer is on the phone, the valuation run that has to start at night, the report that nobody dares open before lunch.
When an ERP slows down, the first proposal is almost always a bigger server. It is easy to approve and it feels like action. It also buys a few months at a permanent monthly cost, because a query that reads an entire table still reads an entire table, just faster.
We list and time the operations users complain about, at peak and off-peak, and record the seconds.
Slow query logs, execution plans, index usage, table growth, lock waits and the custom code in the path.
Findings ranked by business time recovered against effort and risk, so you choose what gets fixed.
Changes made in a test copy, timed there, then released in agreed windows with a rollback path.
The same operations timed again and reported against the baseline, plus monitoring so drift is caught early.
Every named operation timed in seconds, with the peak-hour figure alongside the quiet-hour one.
Slow query analysis, execution plans, index review, table growth and lock contention, with evidence.
The customisations sitting in your slow paths, read line by line for queries inside loops.
Retention rules agreed with finance, a tested retrieval path, and batches run against a copy first.
Index and query fixes, batch jobs moved off-peak, and heavy reporting separated from live transactions.
The same operations re-timed, published next to the baseline, plus monitoring to catch future drift.
Nothing is changed until it is measured. A fix proposed before a baseline exists is a guess with an invoice attached.
Infrastructure is assessed last. If it is genuinely undersized we say so, and we show you the evidence.
Most consultants stop at the database. The customisation written five years ago is often where the seconds are.
It is the change nobody wants and it is frequently the biggest single win. We make the case and manage the risk.
We prefer indexes, configuration and rewritten queries over patches to core code, so the next upgrade does not undo the work.
Something did change: the amount of data. A query that was fine against two years of history walks five years of it today, and nothing has ever been archived. Add a few customisations layered on since go-live, a report someone wrote that pulls everything and filters afterwards, and indexes that were never revisited as the data grew. Performance decays gradually because volume grows gradually.
Usually not, and it is the most common mistake we are called in to undo. Hardware is the easiest thing to buy, so teams buy it first. A query that reads a whole table still reads a whole table on a bigger server, it just does it slightly faster while costing you more every month. Infrastructure is the constraint in a minority of cases, and we will tell you plainly when yours is one of them.
We start with your users, not the server. We list the operations people complain about, time them repeatedly at different points in the day, and record a baseline in seconds. Then we profile those exact operations: the slow query log, execution plans, index usage, table sizes and row counts, background job schedules, lock waits and the custom code in the path. The cause is identified before anything is changed. Any provider proposing a fix before measuring is guessing.
The assessment runs 1 to 3 weeks depending on how many operations are in scope and how much custom code sits in the path. Targeted remediation then runs 2 to 8 weeks. Indexing and query fixes land early and are often felt within days. Archiving, reporting separation and code rework sit at the longer end because they need testing and a change window.
No. Archiving moves closed periods and completed transactions out of the tables your daily queries read and into archive storage that is still queryable and still auditable. Nothing is deleted. We agree the retention rules with your finance and compliance people in writing before anything moves, and we test the retrieval path before the first batch runs.
It depends entirely on the baseline, so we quote a range and not a promise. On a neglected system the worst operations are often several times faster once basic problems are fixed, because the problems are basic: a missing index, a report pulling every row, five years of history nobody archived. On a system that has already been tuned the gains are smaller and harder won. We tell you which situation you are in after the assessment, before you commit to remediation.
Related
The other services in this section, and related pages from TCB Infotech.
No commitment. A practical first look at what is slowing your ERP down.
