Data normalization: practical cases
Improving the old, merging ERP data, changing PIM... We have selected for you concrete examples of data normalization applications.
Discover
Data quality and the ability to simply link separate databases is paramount.
At YZR, we help data specialists and novices alike to significantly improve their performance by leveraging the full potential of the data at their disposal.
Accelerate time-to-market and supplier data quality.
Optimize the quality of the product sheets and harmonize the attributes.
Improve intelligence by detecting products with similar attributes.
Consolidate customer databases and remove duplicates.
Merge ERP data without an IS migration project.
Standardize data from different subsidiaries.
Optimize your catalogs and SEO.
Clean up your historical data to facilitate the transfer.
Harmonize job descriptions or lists of skills.
Tag and standardize candidate experiences.
Data normalization: some use cases
Improvement and reliability of catalog data.
The problem to be solved :
- difficulty in processing different data
- loss of time
- frequent errors
The solution proposed by yzr:
- retrieve data from various sources (which are not structured in a homogenized way)
- detect variants of the same word ;
- automatically label attributes ;
- identify similar products;
- quickly and sustainably optimize your catalogs and databases.
Merge enterprise repositories.
The problem to be solved:
- difficulty in sharing data quickly and efficiently within the same organization;
- lack of a single enterprise repository;
- data from different subsidiaries, different tools or different countries.
The solution proposed by yzr :
- attach objects from different databases;
- consolidate them together.
Standardization and tagging of customer reviews.
Issues to be addressed:
- the complexity of manually transcribing the minutes ;
- writing by several authors who each describe the same information in their own way.
The solution proposed by yzr :
- automatically harmonize these reports;
- improvement of the efficiency of the Customer Service.