Hofinsoft specializes in the Master Data Management (MDM) activities. We have experienced professionals who help any customer in the data collection, preparation, and analysis activities with a sole objective to increase the efficiency, productivity, profitability.

• Materials Master Data Preparation:

Preparation of Master Data with respect to Material master, Vendor master & Equipment master etc., to suit any ERP


• Material Coding / Taxonomy / Schema:

Materials coding is Categorization of data or categorizing of items in logical and hierarchical sequence for most effective use. Taxonomy is the hierarchical structure or the grouping of products according to the physical properties.

Logical coding and Auto coding is to classify products and services. Hofinsoft has experienced professionals in international system such as MESC (Material and Equipment standards and Code), UNSPSC (United Nations Standard Products and Services Code), PIDX (Petroleum Industry Data eXchange), ECCMA ( Electronic Commerce Code Management Association) etc.,


• Material Cataloguing:
Structured cataloguing, where by classification of material data is carried out based on the Noun and Modifier system of cataloguing and data is structured according to standard attributes.


• Data Cleansing:

Data Cleansing is also referred as data scrubbing. It is the act of amending the data from the database by detecting and correcting corrupt or inaccurate data which is improperly formatted, incomplete, incorrect or duplicated. Usually data is held with duplicates and irrelevant data which should be eliminated by data cleansing.


• Data Enrichment

Data enrichment is a value adding process, where external data from multiple sources is added to the existing data set to enhance the quality and richness of the data. This process provides more information of the product to the customer.

Data enrichment process involves Attributes development, Attributes extraction, and capture product information from manufacturer/vendor websites or catalogs.


• Data Standardization

Data Standardization is the systematic process to ensure the data structure is suitable or serves the purpose. Here the undesirable characteristics of the data are eliminated or updated to improve consistency and quality. The goal of this process is to reduce redundancy, inaccuracy and to organize the data.


• De-Duplication:

Items are processed to identify various types of duplicates. Duplicates are identified and removed by adopting various permutations of matching rules, data base queries and manual physical inspection on Materials. Identifying of various types of duplicates like TRUE, FUNCTIONAL and PROBABLE duplicates.