Check Your Data Health →
AI-powered master data management, enrichment and governance, plus the apps, automation and analytics that put clean data to work.
Here are some of the leading clients and partners who trust EnrichExpert
Get your master data clean and governed, then build the software, automation and AI that make use of it. Open any service to see what is included and walk through a worked example.
Clean data is only useful when people can work with it. We pair data expertise with proven platforms to build the apps, automation, analytics and AI around it. Here is what we build with, and where each tool fits.
Low-code apps and automation that put clean data to work for your teams.
Dashboards that show both data quality and business performance.
AI that reads, classifies and enriches records, with people in the loop.
Secure connections between your ERP, your data and your apps.
Controlled, repeatable releases so changes reach production safely.
Every flow and app is tested before it reaches your users.
Websites, portals and apps built on proven frameworks.
Connected equipment and live operational data.
One place to create, review and approve master data records, with AI doing the research and people making the decisions.
A manufacturer and part number go in.
The product is identified and its attributes come back as clean fields.
A cataloguer checks anything flagged as uncertain.
QA approves, and the record is ready for your catalogue.
Our in-house MDG tool turns a part number into a complete record. Enter a manufacturer and part number, AI fetches the attributes, and a person reviews and approves.
Each standard serves a different purpose. We classify against the scheme your systems and reports are built on.
| Classification Standards | Clinical Terminology Classification | |||
|---|---|---|---|---|
| Standard | Covers | Good for | SNOMED CT | Clinical terminology mapping |
| UNSPSC | Products and services | General | LOINC | Lab and diagnostic coding |
| ECLASS | Industrial products | Industrial | Vendor Classification | |
| HCPCS | Healthcare products and services | Healthcare | SIC | Industry codes |
| Customer Taxonomy | Your own scheme, mapped not replaced | Customer-Specific | NAICS | Industry codes |
Share a few details and a small sample. You get a first read on the gaps and where to start.
Each team feels bad data differently. Pick a role to see what changes for them.
Infor
Lawson
PeopleSoftTell us your industry and what you would like to see. We will share relevant examples.
Here is what happens after you share your data.
Send a representative sample.
We measure quality and spot the gaps.
You see what we found, with examples.
A ranked plan, highest impact first.
We deliver the fix or build what you need.
Most teams begin with a Data Health Check, then choose the next step with the results in hand.
A short assessment of a sample of your data.
A phased project that fixes and completes your master data.
Keep data clean after the project ends.
Apps, portals, AI and dashboards on top of clean data.
We clean, classify, enrich and govern master data, then build the software that puts it to work.
AI does the heavy lifting. Anything uncertain goes to a person for review.
Records and workflows shaped for the ERP you run.
The same team cleans your data and builds the apps around it.
A representative sample of your data, exported from your ERP or catalogue as Excel or CSV. We assess it and show you what we find before you commit to anything larger.
Yes. If you already run a Customer Homegrown Taxonomy we map to it directly instead of forcing a move to a generic standard. We also work with UNSPSC, ECLASS, HCPCS, SIC and NAICS.
Every enriched value keeps its source. Low-confidence values go to a reviewer, and missing values are flagged instead of guessed.
Yes. We structure records to match what SAP and SAP-style systems expect on import, support master data governance workflows, and offer cloud access layers for SAP Business One.
It does not have to be. Governance rules, review workflows and scheduled audits keep the data clean after the project ends.
Yes. We developed our own MDM tool. The AI fetches product attributes, and a reviewer approves each record.
Yes. We build websites and portals, mobile apps, AI and ML solutions, IoT systems and Power Platform apps, and we connect them to your master data.
An illustrative example, not a customer record.
Three quick details first. Then add a small sample if you have one.
Paste a few rows, such as part numbers and descriptions, then answer six quick questions. A sample is optional.
Answer all six questions to continue.Please fill-out the form so that we can serve you better
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Tell us a bit about your data. We will reply to your work email.
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