Here's What We Do Better

Material Master Data Optimisation

A master data system consists of multiple domains such as Finance, Customer, Services, Human Resources and Materials, among others. The material master data management is the most challenging among all domains with largest number of stakeholders, users, views and data elements. A typical ERP system can store many types of material data of different points of origin. Businesses that do not manufacture products, such as those in retail, use materials that have upstream challenges, with the majority of material data originating externally. Companies that design and manufacture products often have intermediate materials and finished goods that exhibit downstream challenges, since their attributes are defined through internal processes, rather than external sources. In order to address such business scenarios Materials Master must ensure data integrity to optimise direct & indirect (MRO) spends. The integrity of master data can have great impact on operational reporting and execution of key business processes.

Data Quality Assessment, Data Cleansing & Data Standardisation

Assessing the quality of current material data and devising the cleansing framework is the first step towards master data cataloguing. Our data analysts scan across your data structure to analyse level of duplication, product attributes, nouns, modifiers, descriptions and compliance data, among others. Following which we define/follow appropriate standard naming convention, abbreviations, data format and classification system for your existing material data.

Data De-duplication

Companies always look forward to optimize its purchases and inventory with the goal of increasing turns and minimizing stock outages. Duplicate material records, conflicting material cost data and incomplete cross-references between SKUs and manufacturer part numbers would make this effort difficult, time-consuming and flawed. Furthermore, if the underlying data used for calculations changed during the reconciliation process, the end result could not be trusted. Our data analysts extract such duplicated data, de-duplicate them, enrich attributes and correct the cross references.

UNSPSC/ETIM/ eCl@ss /PIDX and More

When every purchase transaction is tagged with a common set of product identifiers, purchasing managers are able to analyse enterprise expenditures. While a common naming convention allows computer systems to automatically list similar products under a single category; a person can find precisely what is needed and nothing else. These all are few of many benefits of adopting a strong data classification system in your company. We have expertise in UNSPSC, ETIM, UPC, UPN, eCl@ss, SMD, NAICS, SIC, EGII, JPPSG, WAND, NIGP, PIDX, NDA. One of the popular among them is UNSPSC codes which bring a single, uniform view of all expenditures; it ties together all departments and divisions.

Supplier Data Optimisation

Poor or lack of enough supplier data in your master file results ineffective procurement and cost issues. Similarly it is also important to have accurate data about the product they supplies. For instance in high value and highly technical procurement, the cost saving can only be achieved by analysing the components went into its making. For circuit boards, it’s the electronic components that make up the boards for example capacitors, resistors, ICs, etc. We Cleanse, Enrich and Standardize supplier data while dig deeper to provide you the component data of their supplies including the compliance report.