Query performance
Review join, filter and aggregation costs.
My goal is not only faster reports, but reliable answers at scale.
A query that works well for a week of ERP data may become expensive across months or years. Data volume, filtering, joins, execution plans and report requirements need to be evaluated together.
I work with SQL Server data access, intermediate data, grouping, query performance and reporting design. Defining which fields actually matter can reduce unnecessary processing.
A useful report should be fast, numerically correct and easy to validate.
Maintainable and traceable solutions, aligned with actual workflows.
Review join, filter and aggregation costs.
Deliver operational and management-level breakdowns.
Identify missing links, duplicates and inconsistent totals.
Review slow operations, time windows and resource use.
Improve access patterns without changing the intended result.
Compare performance and data totals independently.
Data size, index design, query structure, tempdb usage and filters can all affect runtime.
It should not. Data totals and representative records need to be checked before and after changes.
With appropriate permissions and integration design, ERP data can feed operational dashboards.
Reach out directly about software architecture, ERP development or systems integration.