DataFlux Accelerator for Materials Data Improvement

 A faster way to standardize, normalize and integrate product and service description data

The Accelerator for Materials Data Improvement provides a solid foundation for creating clean, consistent product and service description data. This Accelerator can become the key enabler for internal and external reporting, business intelligence activities or advanced spend analytics by providing pre-built jobs and services designed to improve the quality of materials information.

The DataFlux Accelerator for Materials Data Improvement is a set of DataFlux real-time services designed to standardize, normalize and integrate product and service description data. These services can be accessed directly via web service calls to the DataFlux Management Server or the DataFlux Federation Server, or they can be embedded in other DataFlux real-time services designed using DataFlux Data Management Studio.

With this Accelerator, you can:

  • Extract product attributes from text descriptions
  • Standardize descriptions against various product taxonomies
  • Identify redundant data by matching similar product or service descriptions

Features and Functionality

The DataFlux Accelerator for Materials Data Improvement adds value to existing materials data through an internal materials reference database – created from both external and internal sources – that delivers common product and service attributes. This helps you analyze the data on products and services more consistently by applying universal standards on data, regardless of the originating application.

With standardized and up-to-date materials data, you gain a consistent view of the enterprise through more efficient management and deployment of the information. This process also captures new data as materials, requirements and source systems change over time.

 

Features

  • Consolidate, cleanse and efficiently manage materials data – regardless of the originating application or supplier
  • Deploy accurate materials data across the enterprise
  • Prepare complete and timely regulatory compliance reports
  • Standardize material views and support uniform production and sourcing analysis – across the enterprise and around the world

Functionality

DataFlux real-time services provide both batch and real-time support in English, French and German for:

  • Attribute extraction (colors, materials, dimensions, etc.)
  • Match code generation
  • Standardization (UNSPSC, eCl@ss, NAICS)
  • Pattern recognition
  • Casing
  • Clustering
 


Customer

Success

DSM Chooses DataFlux Technology to Drive Spend Analysis, Commodity Coding Solution

DataFlux technology enabled DSM to code its data with eCl@ss commodity coding specifications, enabling the transparency necessary for spend analysis.

Webcast

Data Best Practices for Spend Analysis

Industry expert David Loshin of Knowledge Integrity and Dan Soceanu of DataFlux take an informative look at the benefits of a spend analysis program.

White Paper

Data Best Practices for Spend Analysis

David Loshin of Knowledge Integrity looks at the business drivers and organizational objectives of a spend analysis program.