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Overview: DataFlux offers complete, end-to-end data management solutions for organizations that want to realize more tangible, immediate value from their information assets. A wholly owned subsidiary of SAS (www.sas.com), DataFlux helps companies improve the consistency, accuracy and reliability of critical customer and business data. DataFlux solutions - consisting of data profiling, data quality, data integration, data augmentation and data monitoring - allow companies to build a solid information foundation that can enhance the effectiveness of data-driven applications, including customer relationship management (CRM), enterprise resource planning (ERP), data warehousing and database marketing.
KnowledgeStorm's detailed company reports contain important information including: stock symbols, company size, addresses, and more. You may access this additional information about this company by viewing one of the detailed solution reports or research abstracts listed below.
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Solutions offered by DataFlux Corporation.
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dfPower Studio by DataFlux Corporation.
Through easy-to-use interfaces and graphical workflow tools, dfPower Studio gives high-level data management capabilities to the business user. This allows frontline staff to discover and address data problems. Merge customer and prospect databases.
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Research offered by DataFlux Corporation
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Accelerating Enterprise Data Governance Part 1: Foundations by DataFlux Corporation. April 2008 - This paper discusses the foundation for enterprise data governance, which is based on common processes for continuous data quality and improvement, an enterprise data management technology platform, and a set of re-usable data services that run on the technology platform to continually enforce data governance of master and transaction data.
Building a Data Quality Scorecard for Operational Data Governance by DataFlux Corporation. June 2008 - A data governance program defines the roles, responsibilities, and accountabilities associated with managing data quality.
Coordinating Master Data Management (MDM) Stakeholders by DataFlux Corporation. January 11, 2008 - Read this white paper by David Loshin to learn different individual roles associated with MDM and examine what the responsibilities and accountabilities are aligned with each role.
Coordinating the MDM Stakeholders by DataFlux Corporation. December 2007 - This webcast by David Loshin and Daniel Teachey discusses the best practices for building buy-in with the right contacts across the organization.
Customer Data Integration: Creating One True View of the Customer by DataFlux Corporation. January 2008 - After developing a master data management (MDM) program, the next step is designing an effective system to consolidate data. Discover a master data object model that addresses how to create a successful repository.
Data Governance Done Right With Jill Dyche and Evan Levy by DataFlux Corporation. January 2008 - In this podcast from the 2007 DataFlux Users Event, Baseline Consulting partners Jill Dyche and Evan Levy discuss the relationship between data governance, CDI and MDM, providing insightful comments on how to succeed with data governance, and advice about how to begin a data governance initiative.
Data Governance for Master Data Management and Beyond by DataFlux Corporation. March 2008 - There are many different perceptions of what is meant by the term, data governance. Read this paper to learn the objectives of data governance and how to manage the many different kinds of risks that lurk within the enterprise information portfolio.
Data Integration: Using ETL, EAI, and EII Tools to Create an Integrated Enterprise by DataFlux Corporation. March 2008 - The main message of this report is that data integration problems are becoming a barrier to business success and your company must have an enterprisewide data integration strategy if it is to overcome this barrier.
Data Profiling, Data Integration and Data Quality: The Pillars of Master Data Management by DataFlux Corporation. December 2007 - This paper explores the need for master data integration, technical aspects of master data management (MDM) and their reliance on the three pillars: data profiling, data integration and data quality.
Data Quality by the Numbers: Best Practices for Managing Business Data by DataFlux Corporation. March 2008 - Find out how data quality technologies can be customized to support a broad variety of business data and provide the same capabilities -- data profiling, data quality, data integration, data enrichment and data monitoring -- that govern customer data.
Data Quality: Standardize, Validate and Improve Your Information Assets by DataFlux Corporation. March 2008 - This paper will cover techniques for implementing the processes and technology necessary to correct and standardize information-and teach you a process to improve business processes to consistently produce accurate and reliable information.
DataFlux Version 8: Accelerate to Compliance, Data Governance and MDM by DataFlux Corporation. March 2008 - Learn how a data integration and data quality provider can help speed your efforts to achieve data governance, master data management (MDM) and compliance.
dfPower Studio: Solutions for Business and Database Analysts by DataFlux Corporation. March 2008 - dfPower Studio gives you the ability to profile, cleanse, integrate, augment and monitor enterprise information quickly and easily. An innovative job flow builder helps you quickly and logically build complex data management workflows.
Enterprise Data Management Maturity Model by DataFlux Corporation. March 2008 - Read this white paper explore the major issues of building better data and how to utilize these elements to achieve more effective data management policies.
Expert Assessment of CDI and MDM by Tony Fisher and Jill Dyche by DataFlux Corporation. January 2008 - Gain an expert-level assessment of the current customer data integration (CDI) and master data management (MDM) market.
Five Steps to More Valuable Enterprise Data by DataFlux Corporation. March 2008 - This white paper explores a five-phase methodology to analyze, improve and control corporate data. Learn how to improve decision-making and gain competitive edge with five essential factors that encompass the building blocks of data quality integration.
Free Insight into Your Organization from the Industry Leader in Data Governance by DataFlux Corporation. June 2008 - In just five minutes, the DataFlux Data Governance Assessment Quiz gives you insight into the people, processes and technology that make up your organization's data governance efforts.
Improving Product Data Quality and Spend Analysis through Commodity Coding by DataFlux Corporation. June 2008 - The DataFlux Accelerator for Commodity Coding is an innovative technology built on an easy-to-follow process, the steps in this process provide a blueprint to address product data quality issues, regardless of the originating application.
Magic Quadrant for Data Quality Tools by DataFlux Corporation. June 2008 - Growth, innovation and volatility (via mergers and aquisitions) continue to shape the market for data quality tools.
Managing and Integrating Data in an SAP Environment by DataFlux Corporation. December 2007 - Business operations depend on high quality data flowing across the enterprise. Learn about the impact of poor data quality as well as how to manage and integrate data within your SAP environment.
Master Data Management and Data Governance with Ron Agresta by DataFlux Corporation. December 2007 - In this podcast from the 2007 DataFlux Users Event, DataFlux Product Manager Ron Agresta talks about master data management, particularly the relationship between master data management and data governance.
Master Data Management and the Functional SOA Service Layer by DataFlux Corporation. January 2008 - There is a unified relationship between master data management and service-oriented architecture. Read this paper for an overview of this relationship and learn how to effectively create a strategy that encompasses both of these initiatives.
Master Data Management Components and the Maturity Model by DataFlux Corporation. December 2007 - When faced with the opportunity to assemble a master data management program, evaluating business requirements then reviewing how those requirements can be addressed at the different levels of the maturity model is important.
Master Data Management: Challenges to Success by DataFlux Corporation. January 2008 - Master Data Management (MDM) improves data quality, business processes and creates cost reductions. However challenges will arise when implementing a new technology. This paper provides strategies that can ease the transition into the MDM process.
Master Data: Modeling and Consolidation by DataFlux Corporation. March 2008 - Objective of this white paper, is to look at the conceptual issues of modeling a manageable centralized repository that can be used for consolidation, identity management, publication, and access management.
Product Information Management - Business and Technology Trends by DataFlux Corporation. May 2008 - Ventana Research defines product information management as the process and technologies required for managing master data about products, items or materials.
Profiling: The Foundation for Data Management by DataFlux Corporation. March 2008 - Data profiling is the beginning of an effective data management strategy. Although profiling techniques provide an essential first step, there is much more to a complete data management strategy.
Steps to Success: Navigating the Challenges of Master Data Management by DataFlux Corporation. January 2008 - Listen to this Webcast to learn about master data and the operational, organizational and technology challenges associated with master data management (MDM). Discover how your organization can obtain a single unified view of the enterprise.
The Data Governance Maturity Model by DataFlux Corporation. January 2008 - To improve data health, an organization must adapt its culture to a data governance-focused approach. Learn about the major issues of building better data and how to identify and quantify levels of data maturity and governance.
The Road to Master Data Management: Identifying Master Data by DataFlux Corporation. January 2008 - Listen to this Webcast to learn about locating and understanding relationships between data elements can enhance your organization's master data management efforts.
The ROI of Data Governance: A Revenue Generation Perspective by DataFlux Corporation. June 2008 - Learn more about the role of data governance and when it is appropriate to measure these data efforts with ROI or other metrics. Explore an ROI calculator of data governance and what it means to test assumptions about data.
The Six Key Ingredients for Master Data Management Success by DataFlux Corporation. December 2007 - This webcast by David Loshin and Daniel Teachey provides an outline of technical "ingredients" for MDM success and examines how they relate to the levels of organizational maturity determined by the ability to provide MDM services.
Zero to Five: A Stepwise Progression for MDM and Data Governance by DataFlux Corporation. December 2007 - Companies assessing master data management (MDM) are using a variety of metrics. Some focus on functionality, some on architectural stacks, while others weigh vendor choices based on a proof-of-concept approach.
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