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About DataFlux
DataFlux enables organisations to analyse, improve and control their data through an integrated technology platform.
With DataFlux enterprise data quality and data integration products, organisations can more effectively and efficiently build a unified view of customers, products, suppliers or any other corporate data asset.
A wholly owned subsidiary of SAS (www.sas.com), DataFlux customers can rapidly assess and improve problematic data, building the foundation for enterprise data governance.
Effective data governance delivers high-quality information that can fuel successful enterprise efforts such as risk management, operational efficiency and master data management (MDM).
*** EVENTS: Using data to drive value within your business – A DataFlux and Deloitte Executive Briefing ***
Every part of every company, from the boardroom to the sales floor requires reliable, accurate information to function properly. Data that is not fit for purpose can lead to bad business decisions and inferior customer service. Successfully addressing data quality issues is critical to the success of your company.
To understand how your organisation can use the data you produce to operate your business more effectively, DataFlux and Deloitte are sponsoring a half-day, complimentary seminar to address some of the common problems in data management.
The event will take place on Wednesday, June 10, 2009 at Deloitte’s offices in London. For more information or to register please click here.
Download Resources from DataFlux (no email required)
Data Governance Maturity Model (White Paper)
This DataFlux white paper introduces the Data Governance Maturity Model and explains how your organization can use it to understand the major issues of building better data across the enterprise.
5 Steps to more valuable enterprise data (White Paper)
This white paper examines a five-step method for improving your data, using data profiling, data quality, data integration and other methods to find and fix bad data.
DSM Chooses DataFlux technology to drive spend analysis, commodity coding solution (Case Study)
DataFlux technology enabled DSM to code its data with eCl@ss commodity coding specifications, enabling the transparency necessary for spend analysis.
Further Case Studies from the DataFlux.com Resource Library
- Leading Financial Institution Uses Data Matching Technology for Global Watchlist Compliance
- Oil Company Embraces DataFlux for Enterprise Data Integration Initiative
- Euro RSCG Discovery Selects DataFlux Technology to Drive More Effective Marketing for its Clients
- Intellidyn Integrates Intelligent Insight to Customer Needs
Expert Resources on the DataFlux.com Resource Library
Master Data Management: Challenges to Success
David Loshin from Knowledge Integrity outlines the operational, organizational and technology challenges associated with MDM projects.
Data Ownership and Enterprise Data Management: Is Your Data Under Control?
Mike Ferguson, president of Intelligent Business Strategies, addresses the issue of data ownership and enterprise data management (part 1 of 3).
Data Ownership and Enterprise Data Management: Leveraging Technology to Get Control of Your Data
Mike Ferguson, president of Intelligent Business Strategies, addresses the issue of data ownership and enterprise data management (part 2 of 3).
Data Ownership and Enterprise Data Management: Implementing a Data Management Strategy
Mike Ferguson, president of Intelligent Business Strategies, addresses the issue of data ownership and enterprise data management (part 3 of 3).
ZERO TO FIVE: A Stepwise Progression for MDM
In this webcast, Jill Dyché and Evan Levy share their real-world experiences in planning, designing, and implementing MDM programs at Fortune 1000 companies.
DataFlux Accelerator for Customer Data Analysis Demo
In this webcast, join Ron Agresta as he dives into the DataFlux Accelerator for Customer Data Analysis - a powerful new tool that helps organizations easily understand their information to quickly begin identifying and rectifying incorrect data.









