Material Data Enrichment

Data Enrichment is an extended service to Data Cleansing activity. External sources like Manufacturer / Vendor websites are referred to validate the input data provided by customer. Also additional information from websites are sourced to enrich the item description.

Why data enrichment?

  • Accurate & validated Part Numbers with respect to item descriptions
  • Conflicts are escalated to get it clarified from the user community
  • Enhanced new Short & Long descriptions
  • Image / PDF extractions from Manufacturer / Vendor / Third party websites etc.,

Grihasoft can also source additional information through Physical Data Verification or Plant walk-down. For the items which are fast moving / high value / critical for plant running, if the input description is limited and do not have any Manufacturer / Vendor references, Organization go for Physical Verification. Grihasoft’s experienced resources go on-site and identify/ extract the required information from the product which are stored in warehouse by referring to name plates / tags. This helps the customer to have all the important  information on vital items for smooth running of the plant.

How our customers benefit from Data Cleansing and Enrichment?

Reduced costs: Items procured under MRO data is generally one of the most critical categories and highest spend. It is common knowledge that inaccurate data costs companies’ lot of money. Improving the integrity of business data will reduce wasted costs associated with inaccurate information.

Easy discovery: Accurate descriptions equates to improved response rates during searches by end users (in ERP / CRM) that could result in increased revenue. Unified and structured data also curtails maverick Buying.

Saved time: Our clients benefit from their cleansed databases, which saves them time of their resources, so that they could devote more time to their core business activities. Standaradized data leads to decreased timelines in business processes.

Utilization of ERP functions: Better utilization of the functionalities built in ERPs

Customization: Customizing the data requirement to include additional classifications / attributes during migration / implementation stage

De-duplication: Avoid duplicates being carried out and to have unique accurate verified data in the system