DataFlux Accelerators

Faster understanding, faster control, faster ROI

DataFlux Accelerators are sets of pre-built interfaces and business rules built on the core DataFlux technology platform. Combining award-winning DataFlux technology with best practices gained from thousands of implementations, DataFlux Accelerators offer proven solutions for common data issues, reducing the time required to realize the results from your data management initiatives.

DataFlux Accelerator for Spend Analysis

Spend analysis helps you organize and aggregate procurement data to create a more transparent and accurate spend data workflow. With better information on procurement, you can make more informed decisions about how an organization spends its money. The DataFlux Accelerator for Spend Analysis helps classify spend data and cleanse, analyze and report performance and purchase history – quickly, easily and in real time – using a web services framework.

DataFlux Accelerator for Spend Analysis »

DataFlux Accelerator for Materials Data Classification

The DataFlux Accelerator for Materials Data Classification offers a faster way to enhance your product and item data. DataFlux technology matches your product and item data with any type of classification codes – industry standards such as eCl@ss, UNSPSC and GS1, as well as custom codes developed within your organization. These codes provide a standardized way to organize and segment information on spending patterns and create a foundation for spend analysis and master data management (MDM) efforts.

DataFlux Accelerator for Materials Data Classification »



Webcast

The Four Imperatives of Sustainable Data Governance

This Webinar applies TDWI’s Maturity Model to data governance, to plot its maturation milestones, probable potholes and critical success factors on a map that any organization can follow on the course to sustainable data governance.

Industry Report

Bloor Market Update: Data Cleansing

Bloor Research has named DataFlux as a “Champion” in this Data Cleansing Market Update.