Data Engineering in Broken Arrow, Oklahoma

Reconciling items, customers, and units

Consider a hypothetical Broken Arrow industrial distributor. A bearing is stocked under an internal SKU, ordered from suppliers under their part numbers, and requested by customers under their own. Purchasing buys in boxes of ten; the warehouse counts singles. Before any report can show true inventory turns or margin by item, those identities and units must be reconciled. A data pipeline does this with a cross-reference table, a mapping of every alias to one master item, and conversion rules that turn every quantity into the same unit.

This cleaning step is unglamorous, and it is where most of the value lies. Once items and customers match, every downstream report becomes trustworthy.

Bringing EDI and e-commerce orders into the picture

EDI, electronic data interchange, is the standard format large customers use to send purchase orders and receive invoices electronically. Many Broken Arrow suppliers receive EDI orders and web-store orders through separate systems that do not post directly into the ERP. Pipelines can ingest those feeds, validate them, and combine them with ERP orders so sales and backlog reports are complete without anyone retyping.

ETL or ELT, and where the data lands

ETL means extracting data, transforming it, then loading it into a warehouse. ELT loads raw data first and transforms it inside the warehouse. For many Broken Arrow companies on SQL Server, a straightforward ETL process into a separate reporting database works well. Companies moving to the cloud may prefer ELT into Azure SQL, Snowflake, or Fabric, which keeps a raw copy for auditing. We choose based on your volume, skills, and budget.

Replacing fragile nightly jobs

Old scheduled imports often fail quietly, leaving stale inventory or pricing until someone notices. Rebuilt pipelines record every run, compare row counts and totals with expectations, and alert a named person when something is off. They also retry automatically after brief network or server hiccups. The result is data that operations, purchasing, and sales can rely on every morning, ready for dashboards or analytics built on top.

Preparing for machine and sensor data

Once ERP, inventory, and order data flow reliably, many Broken Arrow manufacturers want to add machine data such as cycle counts, spindle time, or temperatures. Modern machines often expose this through standard protocols such as MTConnect or OPC UA, which are common languages industrial equipment uses to share data. The pipeline foundation built for business data makes that addition much easier: machine readings can join the same warehouse and be matched to jobs and parts.

We recommend starting with a few machines on a pilot basis, proving value, and then expanding, rather than wiring the entire floor at once.

Ownership and support after go-live

Once pipelines are live, Broken Arrow companies can maintain them in-house or keep a small monthly support arrangement with us. Either way, code, documentation, and credentials belong to the company. We train whoever will own the pipelines, often an IT generalist or an analyst, on how to read logs, rerun jobs, and add new mappings.

Monthly support typically covers monitoring review, small changes such as a new customer code or supplier, and help when a source system is upgraded. Response expectations are agreed in writing before support begins.