Download this white paper to learn how the convergence of major trends - like the move to internet-based applications, cloud computing, and SaaS business models - is creating new requirements for data management, and why new technologies such as NoSQL are fundamentally better equipped to handle them.

Download this whitepaper to learn about the main challenges in using RDBMS, the key differences between relational databases and distributed document-oriented databases, the key steps to model data in NoSQL, and what you need to consider when making the shift.

This special report from The Economist covers the phenomenon of the Data Deluge--everywhere you look, the quantity of information in the world is soaring. According to one estimate, mankind created 150 exabytes (billion gigabytes) of data in 2005. Merely keeping up with this flood, and storing the bits that might be useful, is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, the data deluge is already starting to transform business, government, science and everyday life. It has great potential for good-as long as consumers, ...

"Managing Information in the Enterprise: Perspectives for Business Leaders" is a Forbes Insight survey and report sponsored by SAP. In their effort to turn piles of data into actionable information, large global enterprises are applying rigorous strategic thinking to using information management to contain costs and provide a competitive advantage. But in doing so, they face a range of issues related to data quality and data ownership that may be hampering their efforts.

How are companies using information to beat their rivals and create a more level playing field? This paper examines how their practices are evolving and offers examples of data use at some highly successful companies. (Economist Intelligence Unit Limited, 2011)

This white paper by industry expert Alec Sharp illustrates these points and provides specific guidelines and techniques for a business©\oriented approach to data modeling. Examples demonstrate how business professionals.

Cloud computing is one of the major growth areas in the world of IT. This article provides an analysis of how to apply the DaaS (Database as a Service) lifecycle working with ERwin and the SQL Azure platform. It should help enterprises to obtain the benefits of DaaS and take advantage of its potential for improvement and transformation of data models in the Cloud. The use case introduced identifies key actions, requirements and practices that can support activities to help formulate a plan for successfully moving data to the Cloud.

This white paper looks at the levels of maturity and capabilities necessary for deploying enterprise wide initiatives such as master data management (MDM)– and examines why these initiatives stall. The types of value derived from MDM are discussed as well as which tangible benefits can be achieved early in the process. Lastly, the paper provides some concrete actions that can be taken to identify fundamental business drivers as the first step in developing a practical, repeatable and scalable information strategy.

An organiza¬tion’s ability to innovate is only as good as its ability to integrate, access and analyze all the data at its disposal. While the reasons for developing a unified data manage¬ment strategy are clear, achieving this goal is complicated. This CIO Market Pulse report discusses the single most important driver of success – achieving collaboration and input from both IT and business users, which then results in best practices and processes for all corporate information.

This paper describes the importance of aligning information objectives with business strategies, the risks associated with master data management programs, the means for managing those risks, and how to create a data governance framework. The paper also offers recommendations for those organizations interested in developing a master data management program – and methods that should be used to govern the program once it is in place.

After identifying and explaining the main reasons why master data management (MDM) programs often fail, this white paper demonstrates how these obstacles can be mitigated. The data consolidation approach to MDM is examined and found to be a root cause of MDM’s limited success. In this paper, data quality and MDM thought leader David Loshin looks at how data consolidation (the typical approach to master data management) can fail to meet data consumption needs. Loshin contends that by transitioning from a consolidation approach to a data utilization approach, organizations can use ...

Melissa Data is proud to announce a new eBook that explores the challenge of determining when data values are or are not valid and correct, how data values can be made correct, and how data cleansing services can be integrated into the environment.

Highlights include:

• Postal Standards and Address Quality
• Techniques for Address Standardization
• Increasing Data Utility from Data Enhancement
• Deriving Customer Intelligence through Matching and Linkage