Categorization

Identifying the products with class groupings.

Cleansing

The existing data has may not consistent format being derived from various sources, often. It may contain duplicate information’s as well missing or incomplete information’s. It’s a process of organizing the data, which will ensure your data for enrichment are up to date accurate, and complete. This will group the data, such as attributes are standardized format throughout the data set.

Also it helps to amending or eliminating data in a data source which is incorrect, incomplete, wrongly formatted or duplicated.

Noun/Modifier/Attributes                                                                                                  

It identifies product category, products within a category, detail information about product, and product within a category.

De-duping                                                                                                                            

Removing duplicate records which might be similar looking records / specifications.

Standardization                                                                                                                   

Normalize the data values and formats according to your business rules.

Enhancement

Append the additional data, thereby increasing the value added information and Data enrichment will make significant value to your data.

Taxonomy

Its data classification in a hierarchical organization for sets of objects. It can help categorize your data into a form that improves search and analyses by the contents of Codes, category, attributes, etc.

Schema Services

Deebros specialist in schema classification to classify the objects / products to global standard, which are MESC, SMD, UNSPSC, eCl@ss, eOTD.

Synchronization                                                                                                                  

Supply cross-enterprise business applications with critical data.

Data Integration                                                                                                                 

The cleansed and enhanced final data can be harmonized with original systems of record. Integrations support the transferring of information between the cleansing environment and the master database.

Cross Reference Data Management                                                                                   

Identifying equivalent item from a different manufacturer, identification of a similar item with almost the same specifications from a different manufacturer.

Spend Data Management

Using an organizations standardized database a step further, to analyze the products, to identify optimum inventory levels, obsolescence, supplier, commodity type, and stock vs. non-stock to identify vendor /supplier consolidation initiatives.

It will turn unusable data into clean, consistent spend information.

It will create the benefits such as :

• Re-use existing similar items or functionally equivalent parts from inventory
  
  

• Reduce duplicate parts and inventory carrying costs