For Product Master Data

01

The data in the ERP is not accurate nor comprehensive, and your data model is limiting your ERPs operational effectiveness. The most valuable product information is trapped in thousands of PDFs and in an unstructured format.

02

There is no central source of truth. Different information is sitting in different documents and systems. Even something as basic as a product name is inconsistent - every system uses different names, labels and classifiers.

03

Highly paid resources are expected to maintain this information, but they don’t have the time. Product information and documentation are not proactively managed. There are many gaps and the organization doesn’t even know it. Following any effort to clean up and get organized internally, information quickly becomes disorganized and dirty again.

04

Product onboarding & setup are dependent on manual data entry, typically involving highly paid resources. As a result, onboarding new product lines takes too long, delaying transactions or the integration of new acquisitions.

01

Establish a centralized document management system for all regions and businesses.

02

Enable your customers to find the exact right product, document, questionnaire or answer on their own.

03

Establish product master data in an MDM - product hierarchy, clean nomenclature and golden records. Map all extracted product data attributes back to the related product and hierarchy.

04

Set up data architecture, data flows, data governance, data approval workflows and integrations.

05

Establish a proactive data stewardship team to replace expired information, identify gaps and run processes to create fully comprehensive records.

01

Establish the foundation (master data) for better reporting, decision making and operational efficiency.

02

Accelerate digital roadmap and ROI on all dependent digital initiatives

Step 1

Ingest all product documents (TDS, Brochures, Specs, SDS, etc)

Step 2

Set up a DMS for all documents

Step 3

Extract, structure, harmonize and enrich product data and set up an MDM

Step 4

Establish data architecture and data governance

Step 5

Push data into any and all systems, from one source of truth