?>Product Information Management | Product Data Management

Product Information Management (PIM)

Product Data Management (PDM) is a branch of Product Lifecycle Management (PLM). With the plethora of experts and technical assistance from the proficient and diversified talented employee team, we at SoftNis stand tall in realizing the vitality of acumen and impeccable data management services. Product information management (PIM) is not what we foresee as a secondary task. Going deep and amicably grasping the Master Data Management, SoftNis has been seen as a pioneers and superiors when it comes to providing Data Management Solutions.

SoftNis sets its objectives in providing the Data Management Services as End-to-End Solutions capable of centralizing and merging product information throughout the enterprise. This helps in providing accurate and Up-to-Date Information across the various distribution channels. SoftNis provides consultancies in Product Information Management solutions, giving the organizations a single and consistent view of their product master data across the enterprise. We are the stepping stones when it comes to the success of the business performances where our clients can analyze our hard work in just a few clicks.

SoftNis also helps in categorizing the data in a hierarchy and in the customized directions as per the clients. The company wants its clients and users to realize the true meaning of the word “Tailor Made”. SoftNis, having years of experience, stands apart from its competitors when it comes to uploading the worked upon data to ERP system. The company lays its foundations in providing Quality, Standardized, Accurate, Effective and Efficient data with an On-Time Delivery of every project relied upon us.

SoftNis’s Product Information Management (PIM) Solutions Briefly Classified as Below:

Data Cleansing or Cleaning or Scrubbing

Data Cleansing is the process of rearranging the Data suitably from the given Input. For Example, in Supply Chain Management, most of the time supplier cannot directly use the manufacture provided data in to their website or ERP System. The Product Data has to be cleansed suitable for individual customer requirements. READ MORE... >>

Data Enrichment or Enhancement or Mining

Product Data Enrichment or Enhancement or Mining is the process of enhancing the data from the external resources, like from manufacture or third party websites, catalogs or any other documents. Data Mining includes Product Identification (defining Noun and Modifier), Taxonomy Development, Specification or Attributes Capture, READMORE…>>

Data Standardization

Data Standardization is the first step to make sure the data is able to share across the different division in the industry or across the industry. Data Standardization includes usage of Standard Unit of Measure Codes (UOM), like ANSI or United Nations (UN) UOMs, Identifying and Correcting Type Error and Spelling Mistakes, READMORE…>>

Item Classification

To facilitate the smooth conduction of business, classifying products and services according to a standardized classification convention is very much essential. Global standardized and a uniform classifying technique of products and services with standard descriptive nomenclature has its own advantages. Standardized classification method helps. READMORE…>>

ERP Data Management

After completing the above Cleansing or Enrichment, Classification process the Product Data needs to be customized for customer specified Enterprise Resource Planning (ERP) System, as every ERP System required its own unique customization like Header, Layout, Character Limit Descriptions, and other filed limitations. READMORE…>>

Duplicate Identification

Items Duplicate Identification is a process of identifying and removing the duplicated items. Duplicated Items are identified on the basis same manufacture and part numbers, or may be different manufacture but same functionality. READMORE…>>

Competitor Cross Reference

This is the process of identifying and finding the product in competitor website, to capture the products information, like Price and shipping details for customer’s reference. READMORE…>>