Data Integration Consulting

Data governance consulting establishes the standards, ownership structure, and processes your organization needs to maintain data quality over time. RTG builds governance frameworks that are practical and sustainable — defining who owns which data, how master data is maintained across systems, and what happens when data quality breaks down. The goal isn’t a governance document. It’s an organization that can maintain clean, reliable data without outside support.

Because systems don’t fix bad data — they inherit it. Duplicate records, unmapped fields, and ungoverned master data migrated into a new system create reporting errors, inventory inaccuracies, and integration failures from day one. According to Gartner, poor data quality costs organizations an average of $12.9 million annually — and those costs accelerate when bad data moves into a new platform at cutover. RTG assesses and resolves data quality issues before implementation begins, not after.

Frequently. Data assessment often reveals that ERP configuration, master data standards, and integration points need more than cleanup — they need a structured implementation or recovery engagement to perform as intended. When that’s the case, our ERP implementation consulting services manage the full process from requirements through adoption, vendor-neutral and anchored to your documented business needs.

Master data is the core information your systems share — customers, vendors, products, locations. When master data isn’t standardized across platforms, every department operates on a different version of the truth. Inventory counts don’t match. Orders don’t reconcile. Reports contradict each other. RTG consolidates master data into a single source of truth before go-live — so every connected system starts from the same foundation.

Data migration is a one-time event — moving data from a legacy system into a new one. Data integration is ongoing — the pipelines and protocols that keep multiple systems connected and synchronized after go-live. Both require the same foundation: documented standards, validated data, and mapped integration points. RTG manages both as part of a single engagement, so your migration is clean and your integrations hold long after cutover.

Data governance and document management address two sides of the same operational problem. Governance defines standards for how data is owned and maintained across systems. Document management defines how the records, SOPs, and files that support those systems are created, stored, and controlled. When both are underdeveloped, organizations end up with unreliable data and documents nobody can find or trust. If document management is a gap in your organization, our document management and data governance services address the process and ownership structure that keeps both aligned.

Clean, connected data is the prerequisite for any AI tool to deliver reliable results. Organizations that attempt AI enablement without a governed data environment find the same problems — inaccurate outputs, unreliable recommendations, and adoption failures. RTG’s Data Integration & Governance engagement builds the data foundation your organization needs to use AI effectively. It’s the natural first step before any AI implementation begins.

A full engagement typically runs 14-18 weeks using our RTG 4-Phase Approach™ — approximately two weeks for Discovery, eight to twelve weeks for Execution, and two weeks each for System Assurance and Adoption. Timelines vary based on the number of systems in scope, data complexity, and integration requirements. For organizations preparing for an ERP or WMS implementation, RTG recommends beginning the data assessment during vendor selection — not after a go-live date is set.