To maintain ERP system performance using data analytics, focus on proactive monitoring, predictive analysis, and actionable insights. Analyze historical performance to identify trends and correlate events with performance dips. Break down transaction data to find inefficiencies and prioritize optimization. Use real-time dashboards and alerts to monitor KPIs and detect issues early. Employ predictive models to forecast demand and detect anomalies. Integrate log and metric analysis to monitor database health. Combine user feedback with analytics to identify pain points. Regular audits help assess system health and prevent issues. Use tools like Tableau, Power BI, Splunk, and New Relic for effective analytics.

To spot ERP system bottlenecks with data analytics: Collect Data: Gather logs, CPU/memory usage, transaction times, and user activity data. Use Tools: Leverage SAP Solution Manager, SQL Profiler, or monitoring tools like Dynatrace. Analyze Patterns: Check for high response times, resource saturation, or peak usage trends. Isolate Issues: Focus on slow queries, high server load, network latency, or customizations. Visualize: Use dashboards to map trends and anomalies. Simulate: Test with load tools like JMeter. Prioritize Fixes: Address high-impact issues first, monitor improvements.

ERP system performance issues can be due to inappropriate volume of stored data for certain transaction types, storage capacity, processing power, main memory, networking, software bugs, configuration, integration, customization and business processes. The analytical insights and predictions based on their related patterns and trends can be visualized in ERP performance dashboards for detecting and resolving issues more proactively.

By systematically monitoring KPIs, using advanced tools, gathering employee feedback, and conducting regular audits, organizations can identify and address ERP system bottlenecks effectively. These strategies foster continuous improvement, ensuring the ERP system remains efficient, responsive, and aligned with organizational objectives.

Problemas de desempenho em sistemas ERP podem ter muitas causas que se misturam tornando o diagnóstico mais complexo. A primeira pergunta a ser feita é : O que mudou RECENTEMENTE que pode estar causando o problema ? Veja algumas causas : - Atualização de versão do ERP - Integração de soluções ao ERP - Cargas de BIs - Processamento de alto volume sendo disparadas durante o expediente - Instalação de novas aplicações nos mesmos servidores do ERP - Mudança de servidores