Master data management (MDM)

This paper reviews the current status of master data management (MDM) and offers suggestions for planning, building, and deploying an MDM environment. It examines how the MDM environment can be used in conjunction with BI applications and an underlying data warehousing environment to improve the decision

data -- be it customer or product data. Read this E-Guide and discover a successful business case for master data management (MDM) by tying it to specific and broken business processes. Explore the importance of data quality management in delivering effective customer and master data as well as MDM market trends and expert forecasts for 2009

Navin Sharma discusses the vision, strategy, design and practical aspects of developing a Master Data Management Roadmap. Navin Sharma discusses the vision, strategy, design and practical aspects of developing a Master Data Management Roadmap. Understanding that a complete roadmap encompasses people, processes and technology, he describes the

Effective master data management can save time and money - even enable the capture of incremental revenues, it can also reduce costs while improving customer service. Master data management enables reliable cross-system, enterprise-wide business processes and

business intelligence (BI) applications, service-oriented architectures (SOA), master data management (MDM) applications, and data-centric architectures. This white paper reviews the state of the market for data integration for 2008 and 2009. It defines data integration, discusses the trends in the data integration market, and provides lessons

lacking a single view of the customer through a customer data integration (CDI) initiative or a master data management (MDM) system enables organizations to lack a realistic way of applying vital data quality tools enterprise-wide. At the same time, companies are turning from traditional batch-oriented techniques to real-time data integration in order to

This Webcast discusses how identity resolution can help you maintain high-quality data, attain a single view of your customer, comply with federal regulations and subsequently, increase revenues. Effectively managing identity data is complex for a variety of reasons, including large data volumes, cultural name variation

can be very complex, necessitating the use of enterprise information management (EIM) and master data management (MDM) strategies in order to maximize an ERP implementation.

This white paper reviews the history behind ERP deployments, how the needs of an ERP system have evolved and why today's business requirements necessitate direct, real time

44; why it is needed, how to get started in managing it, and methodologies for implementing master data management. Master data management forms part of an overall enterprise governance program that aims to establish trusted data throughout the enterprise

as a Service can drive flexibility and meet business needs. Also covered in this issue: master data management's strongest business case, and a look at IT executives's salaries and compensation

information management tools for data integration, quality, profiling, federation, meta- and master data management, and so on. However, there's a trend toward enterprise information management (EIM), a practice that holistically coordinates teams and integrates tools. Through team collaboration and tool interoperability, EIM seeks to improve the “

management environment. This white paper will discuss metadata management, master data management, data quality, and data migration... When faced with information management issues, particularly those in a cross-functional setting, many business and IT professionals turn, albeit often unwittingly, toward Enterprise Information Management

and other types of corporate data. It explains why data quality projects often evolve into master data management projects, and discusses how master data can be extracted from unstructured business content and integrated into traditional corporate data systems

This white paper explains how data quality vendors must "turn their applications inside out" and allow its elements to be called as web services within other applications to remain competitive. Group 1 has done this by re-architecting its Customer Data Quality Platform

This SearchDataCenter.com eBook takes a look at how to master the climate control for the data center. Organizations are creating more heat in smaller places which in turn requires efficient and effective climate control. Read this paper to learn more about how to properly cool your data center. This SearchDataCenter.com eBook

make you a SharePoint master. Our editorial focuses on three main areas: governance, management and implementation. Welcome to SearchWinIT.com's SharePoint e-zine – our new monthly Web magazine packed with in-depth articles and tips written by SharePoint pros and our editorial staff to make you a SharePoint master. Every month you

compliance, continuity and carbon footprint reduction. These C-4 issues will set the storage management agenda and throttle the options for IT investments for the foreseeable future. This paper gives further details. From large enterprises to small to medium-size firms, IT planners face the same challenges: cost-containment, compliance

with power and cooling requirements. However, the use of virtual servers also increases the management challenges associated with maintaining infrastructure reliability and ensuring service-level agreements. For peak efficiency, the new environment requires the use of integrated tools that can proactively manage infrastructure

This white paper is an excerpt from the book "Scaling Software Agility: Best Practices for Large Enterprises", and describes the iteration pattern and activities that a team engages in to create tested, value-delivered code in a short time box. The base construct of agile and iterative development is the iteration - the ability of

In this presentation, you'll learn how Informatica's, formerly Applimation's, data provisioning solutions can help you leverage higher quality data for improved productivity and shortened test and development cycles and create Smaller Copies of Production Databases while Maintaining Data Integrity. If you use an

This paper provides a survey of the practices and technology related to business process management (BPM). Basic concepts are explained, the transformational effect on the enterprise is examined, and the value that BPM can create is analyzed. The paper then presents a survey of the vast array of technology that is related to BPM. As the modern

This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by SPSS Inc.'s text analytics solutions. It's no secret that the world has seen an explosion of information in the past 15 years, an explosion that experts predict

Data migration can be defined as transferring of data between storage types, formats or computer systems, it is required when organizations or individuals change computer systems or upgrade to new systems. Founded in 1989, Bloor Research

A dizzying range of technology choices awaits IT organizations trying to master the art of data protection for virtual server environments. Those choices range from whether to use familiar technologies, something new, or a combination thereof in order to effectively meet the needs of the organization. Based on Datalink's

Too often, data governance teams rely on existing measurements as the metrics used to populate a data quality scorecard. But without a defined understanding of the relationship between specific measurement scores and the business's success criteria