WEBLYTIC LABSPRODUCT COMPANYHow we collect, model, and present commerce and ERP data so reporting stays accurate as systems, catalogues, and order volume grow.
A storefront, an ERP, and a marketing platform each answer correctly on their own terms. The disagreement appears when the same order, product, or customer is counted differently in each. Analytics work is mostly about removing that ambiguity before a chart is ever drawn.
Each stage exists to remove ambiguity before the next one begins.
Pull data from storefront, ERP, payments, shipping, and support systems on a reliable schedule.
APIs, scheduled exports, webhooksResolve duplicates, fix inconsistent identifiers, and handle currencies, tax, and time zones consistently.
Deduplication, normalisation, validationDefine shared entities and metrics once so every report reads from the same definitions.
Customers, orders, products, marginBuild focused dashboards for each audience instead of one dashboard that tries to serve everyone.
Executive, operations, finance viewsConnect alerts and reviews to owners so a moving number leads to a decision.
Thresholds, alerts, review cadenceEach one addresses a different reason reporting loses accuracy over time.
Connect commerce platforms, ERP, and third-party services into one consistent dataset.
Shared definitions for the entities and metrics your teams argue about most.
Role-specific views that answer a small number of questions clearly.
Checks that catch broken syncs and bad records before they reach a report.
A metric should have one definition, one owner, and one place it is calculated.
A small set of dashboards people actually use beats a large set nobody trusts.
A sync that silently stops is more dangerous than one that clearly fails.
Changing a definition without versioning it makes past reporting unreliable.
Share your systems and current reports. We will show where the numbers diverge and what it takes to reconcile them.