DataFlux Data Management Studio

A single framework for designing, developing and delivering data with DataFlux

DataFlux Data Management Studio provides a single interface for both business and IT users. Built on DataFlux's award-winning technology foundation, Data Management Studio provides a unified development and delivery environment, giving organizations a single point of control to manage data quality, data integration, master data management (MDM) or any other enterprise data initiative.

Data Management Studio allows for top-down design of business process and rules, as well as bottom-up development and delivery of specific components – all in a single user environment. Building jobs and business rules in Data Management Studio enables transparency in the design process, collaborative development and change management during and after the deployment.

Data Management Studio delivers a single, accurate and consistent view of any and all DataFlux tasks through an user-friendly process and technology framework that lets you:

  • Provide both business and IT users with increased control of data management tasks
  • Enhance cross-functional data governance
  • Manage, analyze, improve and control data
  • Profile, monitor and actively manage the quality of enterprise data
  • Enjoy visual consistency
  • Enable a consistent user experience

Data Management Studio offers a unique set of workflow tools built on an industry-leading technology platform that encompasses every facet of the data management process. Through its intuitive interface, Data Management Studio provides business and IT users with powerful data improvement capabilities and control over data management and data governance initiatives.

Data Management Studio provides the ability to design and manage processes to:

  • Merge customer, product or other enterprise data
  • Unify disparate data through a variety of data integration methods (batch, real-time, virtual)
  • Verify and validate customer and product information
  • Integrate disparate data sets, with an eye on quality
  • Transform and standardize various data entities
  • Monitor data for compliance and data quality control
  • Manage metadata hierarchies

Webcast

Measuring the ROI of Data Governance

In this webcast Gwen Thomas from The Data Governance Institute and Dan Soceanu from DataFlux provide a practical guide for determining ROI for data governance and data quality initiatives.

White Paper

Data Quality and Cost Reduction

This paper by David Loshin of Knowledge Integrity reviews aspects of cost reduction and examines some typical financial accounting expense categories.

White Paper

The Four Imperatives of Data Governance Maturity

This monograph by Philip Russom of TDWI examines the four requirements to increasing the maturity of data governance initiatives.

Webcast

Data Quality Service Level Agreements

This webcast with David Loshin from Knowledge Integrity examines how to measure data quality and what to do when the data does not meet the level of acceptability.