# ERP Performance Health Check: Is Your System Slowing the Business Down? > Source: https://netray.co/tools/erp-performance-health-check > Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems. > Section: Free Tools ## Short answer A 10-question assessment of screen response, batch runtimes, database maintenance, and monitoring that grades your ERP performance posture. ## Category erp-operations ## Tool **Kind:** assessment **Questions:** #### How would users describe day-to-day screen and transaction response times? **Options:** ##### Chronically slow; users have built waiting into their routines **Score:** 0 ##### Slow at predictable peak times (month-end, shift start) **Score:** 1 ##### Generally fine with occasional unexplained slowdowns **Score:** 2 ##### Consistently fast, and we have response-time data to prove it **Score:** 3 #### How long do MRP, planning, or other core batch runs take, and are they trending? **Help:** Batch runtimes are the earliest reliable indicator of database and data-volume problems. **Options:** ##### They overrun into business hours and sometimes fail **Score:** 0 ##### They finish, but runtimes have grown noticeably year over year **Score:** 1 ##### Runtimes are stable and fit the overnight window **Score:** 2 ##### Stable, monitored, and alarmed if they deviate from baseline **Score:** 3 #### Is anyone monitoring ERP and database performance proactively? **Options:** ##### No monitoring; users are our alerting system **Score:** 0 ##### Basic server monitoring (CPU, disk) but nothing ERP-aware **Score:** 1 ##### Database-level monitoring with some alerting **Score:** 2 ##### Full-stack monitoring with baselines, alerts, and monthly review **Score:** 3 #### How is routine database maintenance (index rebuilds, statistics updates, integrity checks) handled? **Options:** ##### We do not know if any maintenance runs **Score:** 0 ##### Default maintenance plans from go-live, never reviewed **Score:** 1 ##### Scheduled maintenance exists and is checked occasionally **Score:** 2 ##### Tuned maintenance jobs, verified weekly, with failure alerting **Score:** 3 #### Has historical data ever been archived or purged from the production database? **Help:** Databases carrying every transaction since go-live make every query, backup, and batch job slower. **Options:** ##### Never; the database holds everything since go-live **Score:** 0 ##### Discussed but never executed **Score:** 1 ##### One-time cleanup happened years ago **Score:** 2 ##### A recurring archiving policy runs on schedule **Score:** 3 #### When were customizations, reports, and interfaces last reviewed for performance impact? **Options:** ##### Never; custom code accumulates and is assumed fine **Score:** 0 ##### Only when something visibly breaks or blocks **Score:** 1 ##### Reviewed during upgrades **Score:** 2 ##### Worst-performing queries and custom objects are reviewed regularly **Score:** 3 #### How current is the infrastructure the ERP runs on (server, storage, database version)? **Options:** ##### Past end of support or badly undersized, no refresh planned **Score:** 0 ##### Aging and near capacity; refresh keeps slipping **Score:** 1 ##### Reasonably current with adequate headroom **Score:** 2 ##### Current, right-sized from measured utilization, refresh cycle funded **Score:** 3 #### How often do performance-related incidents (freezes, timeouts, blocking) disrupt users? **Options:** ##### Weekly or more; it is part of working here **Score:** 0 ##### A few times a month **Score:** 1 ##### A few times a year **Score:** 2 ##### Rarely, and each incident gets a root-cause review **Score:** 3 #### Does anyone do capacity planning for users, transactions, and data growth? **Options:** ##### No; we find limits by hitting them **Score:** 0 ##### Informal gut-feel estimates when buying hardware **Score:** 1 ##### Annual review of utilization and growth trends **Score:** 2 ##### Documented capacity model tied to business growth forecasts **Score:** 3 #### Do you have measured baselines so you can tell whether performance is degrading? **Help:** Without baselines, degradation is invisible until users complain, which is typically 6-12 months after it started. **Options:** ##### No baselines of any kind **Score:** 0 ##### Anecdotal memory of how fast things used to be **Score:** 1 ##### Some key metrics captured but not tracked over time **Score:** 2 ##### Baseline metrics tracked monthly for screens, batches, and backups **Score:** 3 **Bands:** #### Performance Debt Crisis **Min:** 0 **Max:** 39 **Verdict:** Your ERP is measurably taxing the business daily, and without monitoring or baselines you cannot even see where the time goes. The good news is that environments in this state usually have two or three fixable root causes producing most of the pain. **Recommendations:** - Get an ERP-aware performance baseline captured this month: screen times, batch runtimes, top waits, and largest tables - Verify database maintenance jobs exist and actually run; broken index and statistics jobs are the most common single cause - Identify the ten slowest queries or custom objects; quick wins here typically recover 30-50 percent of user-facing pain - Scope an archiving pass if the database has never been purged since go-live - Stand up basic alerting so the next degradation is detected by IT, not by the shop floor #### Degrading Under Load **Min:** 40 **Max:** 69 **Verdict:** Performance is acceptable today but trending the wrong way, and your controls are reactive. Environments in this band typically have 12-24 months before growth converts nagging slowdowns into business disruption. **Recommendations:** - Establish monthly baseline tracking for screens, MRP or planning runs, and backup windows so trends are visible - Tune or replace default database maintenance plans; go-live defaults rarely fit a grown database - Build the data archiving business case now, before the database crosses the size where everything gets harder - Review the worst-performing customizations and reports each quarter instead of waiting for upgrades - Add capacity review to the annual budget cycle with measured utilization, not guesswork #### Well-Tuned and Monitored **Min:** 70 **Max:** 100 **Verdict:** You run a disciplined performance practice with baselines, maintenance, and monitoring in place. Your remaining opportunities are optimization and automation rather than firefighting. **Recommendations:** - Automate baseline collection and anomaly detection so drift is flagged without human review - Pressure-test the capacity model against your most aggressive business growth scenario - Extend monitoring to integration and interface latency, the usual blind spot in otherwise mature setups - Use your performance data in vendor and infrastructure negotiations; measured headroom is leverage - Consider AI-assisted query and job optimization to compound gains you have already earned ## Content **Intro:** This free ERP performance health check scores how well your organization manages the speed and stability of its ERP system across ten dimensions: user response times, batch runtimes, monitoring, database maintenance, archiving, custom code, infrastructure, incidents, capacity planning, and baselines. It is designed for IT managers and ERP administrators running Infor SyteLine, LN, Baan, or similar systems where 'the system is slow' has become background noise. In three minutes you get a graded band and a prioritized action list, so you can separate fixable root causes from the pain everyone has learned to live with. **Sections:** #### Why these ten questions **Body:** ERP performance problems are almost never mysterious; they are compound interest on skipped maintenance. The assessment weights the practices that our tuning engagements show actually predict outcomes: whether database maintenance genuinely runs, whether historical data has ever been archived, whether anyone holds baselines, and whether monitoring is ERP-aware rather than just server-level. Each answer scores zero to three, and your percentage maps to one of three bands. The questions about baselines and monitoring matter as much as the ones about symptoms, because an environment that cannot measure degradation always discovers it a year late, when users have already built workarounds and the fix has become a project instead of a task. #### Benchmarks: what healthy looks like **Body:** Concrete reference points help calibrate your answers honestly. Mid-market manufacturing environments in good health share a recognizable profile, and drifting outside it is measurable long before users revolt. **Bullets:** - Core transaction screens should respond in under 2 seconds; sustained times above 5 seconds measurably reduce transactions per user-hour - MRP and planning runs growing more than 15-20 percent year over year signal data-volume or maintenance problems, not business growth - Index and statistics maintenance should run at least weekly on transactional ERP databases; broken jobs are found in roughly half of first-time tuning engagements - Databases never archived since go-live commonly carry 30-50 percent dead weight that slows every query, backup, and refresh #### Reading your band and sequencing the fixes **Body:** If you scored in the crisis band, resist the instinct to buy hardware first; in our tuning work, the majority of severe slowdowns trace to broken maintenance jobs, unarchived data, and a handful of pathological queries, all of which cost far less than servers to fix and often deliver larger gains. The degrading band should focus on trend visibility and archiving before the growth curve forces the issue. The well-tuned band should automate what is manual and extend monitoring to integrations. In every band, the sequence is the same: measure first, fix the database layer second, tune custom code third, and size infrastructure last, from data rather than frustration. #### How Netray helps you fix what the check finds **Body:** Netray runs performance engagements built specifically for SyteLine, LN, and Baan: we baseline the full stack, repair and tune database maintenance, identify the queries and customizations consuming disproportionate resources, and execute schema-aware archiving that shrinks the working set safely. Because we also build on-prem AI tooling, we can leave behind automated monitoring that learns your environment's normal rhythms and flags drift before users feel it. Typical first-pass results include batch runtimes cut 30-60 percent and user-facing response complaints dropping to near zero, with a documented baseline so the improvement is provable and durable. **Cta:** Answer ten questions honestly and find out whether your ERP is slow because it must be, or because nobody is looking. **Faq:** #### Our ERP is slow. Should we just upgrade the server? **Answer:** Usually not first. Hardware masks symptoms for a year or two, but the underlying causes (unmaintained indexes, never-archived data, inefficient custom queries) grow back into the new capacity. In most first-time tuning engagements we find broken or default database maintenance and recover more performance from fixing it than a hardware refresh would deliver, at a fraction of the cost. Measure, fix the database layer, then size hardware from real utilization data. #### How often should we re-run this health check? **Answer:** Twice a year, plus after any major event: an upgrade, a new site or acquisition, a significant integration, or a noticeable jump in transaction volume. Performance posture decays quietly because maintenance jobs fail silently and data grows continuously. Semi-annual scoring, paired with the monthly baseline metrics the assessment recommends, means degradation shows up as a trend you manage rather than a crisis you inherit. #### What is a normal MRP or planning run time? **Answer:** There is no universal number because it depends on part count, BOM depth, and horizon, but the trend matters more than the absolute value. A healthy environment has stable runtimes that fit comfortably inside the overnight window with room to spare. Runtimes growing faster than about 15-20 percent per year, or creeping toward the start of the business day, are a reliable early warning that data volume or database maintenance needs attention. ## Search terms ERP performance assessment, ERP slow response times, SyteLine performance tuning, MRP run time too long, ERP database maintenance checklist, ERP performance health check, Infor LN performance --- Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json