Data Management Software

Solution Search:
Datanomic Master Data Management: CDI, PIM and Supply Chain Data by Datanomic
Master Data Management (MDM) is the critical process of sharing data elements across a variety of IT systems. Supply Chain Data Management Many businesses find themselves with diverse business applications spread across geographical and functional
Datanomic: ERP Value Through Clean Data by Datanomic
to understand, improve, protect and control data standards across the enterprise. Supply Chain Data Management Many businesses find themselves with diverse business applications spread across geographical and functional boundaries. These disparate systems need to share consistent and accurate information about key entities such as
dn:Director Data Quality and Customer Data Integration by Datanomic
ongoing success of all types of data-centric projects and implementations, including:  Master Data Management (MDM)  Product Information Management (PIM)  Customer Data Integration (CDI)  Data migrations  Linking records across disparate information sources  Establishing single views of key business entities (e.g. customer, product, or any other entity
Master Data Management: A White Paper by Bloor Research by Pitney Bowes Group 1 Software
and considerations for corporations and other organizations seeking to implement a Master Data Management strategy. If Master data management (MDM) is defined as the processes and tools which centrally and persistently define non-transactional entities of an organization, then its execution requires consideration of many moving parts
Bloor Research: Understanding the Complexities of Data Migration by Infosolve Technologies, Inc.
is no market for data migration per se. Nor is it recognized as an independent discipline within data management. Indeed, the tasks required in data migration are typically treated as being just a part of what you need to do when migrating, implementing or upgrading application software.

These application projects frequently overrun their
Transforming the Economics of Data Warehousing with Cloud Computing by Vertica Systems
Cloud computing is ushering in a new era of analytic data management for business intelligence (BI) by enabling organizations to analyze terabytes of data faster and more economically than ever before. Cloud computing is ushering in a new era of analytic data management for business intelligence (BI) by
Optim Test Data Management Solution by IBM
The Optim Test Data Management Solution offers proven capabilities to optimize test data management processes. Now you can create "right-sized" test databases with minimal cost and effort. Optim helps companies improve application quality, speed time to market, and
Securing Data Stored on Tape with Encryption: How to Choose the Right Encryption Key Management Solution by Quantum Corporation
44; easy-to-use, library-managed encryption solution designed to protect sensitive data throughout the enterprise. Securing data from unauthorized access is a critical issue for businesses in all industries. Regulatory compliance and customer loyalty all depend on keeping sensitive information safe and secure. With tens
Data Masking Essentials for SAP Software by IBM
In this webcast Sandeep S. Desai and Cynthia Babb explain about the IBM and Enterprise data management, how to protect privacy, what's at stake and data privacy in a sap environment. Start today with practical approaches that help you support your SAP development and testing requirements, while protecting the privacy of sensitive
Data Profiling: Underpinning Data Quality Management by Pitney Bowes Group 1 Software
approaches to data analysis. The need to analyze data is at the foundation of every effective data management strategy since the dawn of modern information systems. Whether auditing your data assets to assess quality, ensure regulatory compliance, gain a better understanding of your information needs, or to embark upon new systems
Backup = Archive: Can You Tell the Difference? by CommVault Systems, Inc.
and incremental capabilities, as well as a breadth of support for archiving information across data management sources. Think you know the difference? If we are to keep long term data management costs down while facilitating ease of data management, recovery, accessibility and data flexibility, then a unified data management strategy is
Harnessing More Value from your Master Data: An Introduction to Multiform Master Data Management by IBM
This presentation about Multiform Master Data Management by IBM discusses the basic challenges around master data in today's organizations, the symptoms and root causes of bad data, and identifies data relationships across domains. Watch a high-level conceptual introduction of IBM's Multiform
Optim™ Data Growth Solution for Oracle's Siebel® CRM by IBM
resources for priority business projects. STORE AND SAFEGUARD SIEBEL DATA FOR FULL-LIFECYCLE DATA MANAGEMENT Optim lets you store archived data on the most appropriate media; online in an archive, near-line on a file server, offline to tape or other long-term storage devices. For example, you can reserve high-end resources for the mission-critical
Log Management in the Cloud: A Comparison of In-House Vs. Cloud-Based Management of Log Data by Alert Logic
presents some questions to consider when vetting your business needs against each type of log management model. Vendors have begun to offer log management in-the-cloud (or Software-as-a-Service) as a way to simplify log management. To help with the process of choosing an in-house or cloud-based log management solution, Alert Logic offers this white
Oracle ONE Product Guide Description by Oracle Corporation
In short: reliable solutions for agile businesses. These solutions are built on over 30 years of data management experience and focus on three imperatives for modern organizations: protecting valuable data, delivering actionable insight, and establishing flexible processes.

The benefits this brings to your business information systems are
Oracle E-Business Suite: Upgrade Strategies and Best Practices for Leveraging Archiving by IBM
This Webcast explores how leveraging data management and archiving best practices while upgrading your Oracle E-Business Suite can improve application performance and help your organization better meet the needs of your business users. Upgrading packaged applications is a major
Enterprise Data Management: 7 Principles for Oracle E-Business Suite Archiving by IBM
drive revenue generation and accumulate a mass of business information. Moreover, enterprise data management can deliver business value and a greater return on investment from your mission-critical business applications through database archiving.

This white paper outlines seven basic principles for successfully managing your enterprise
Data Governance Strategies: Helping Your Organization Comply, Transform, and Integrate by Informatica
dramatic change. For example, data governance transforms an organization's data, its data management technology, who owns the data, and how the organization uses data. Sweeping changes and business transformations like these need a central organizational structure such as a data governance committee or board, staffed with both
The Enterprise Data Management Solution for Successful Mergers and Acquisitions by IBM
managed by the new organization. This paper explores the importance of an effective enterprise data management strategy and integration plan that insures a successful M&A. As technology advances, the demand for new products and services changes and expands, making competition in the marketplace more intense. Whether an organization wants to reduce
Application Retirement: Enterprise Data Management Strategies for Decommissioning Projects by IBM
This paper describes how incorporating an enterprise data management solution into your decommissioning project can help your company increase the business value of your enterprise applications. This paper describes how incorporating an enterprise data management solution into your decommissioning
Mastering the Latest Master Data Management Best Practices by Kalido
View this expert Podcast and learn how to prepare data environments for a master data management (MDM) implementation. Hear advice on developing MDM soft skills and learn how to measure the success of MDM implementations. Everyone, it seems, is talking about master data management (MDM). But to successfully cut through the marketing hype
Integration Acceleration: Orange County Seamlessly Integrates CAD Design and Geospatial Data by Autodesk
By using Autodesk Map 3D to streamline CAD design and geospatial data management, the OCSD has been able to save a signi?cant amount of time on key processes and also improves accuracy of asset data, which helps it to serve customers better. Autodesk Map 3D® provides an easy way for the district to transfer CAD design
Dell™ PowerVault™ MD3000i by Dell, Inc.
The PowerVault MD3000i is an iSCSI SAN that helps simplify data management and delivers enterprise data protection capabilities at a fraction of the cost of traditional storage consolidation solutions. Learn more in this paper. Now small and medium-sized organizations can harness the storage consolidation
MDM Journey: The Right and Wrong Master Data Management Strategies to Start Small and Grow Big by Siperian, Inc.
No master data management journey is the same. Read this paper to learn from the successes and failures of MDM early adopters, how to select a technology that doesn't limit MDM's evolution and to compare approaches based on industry-specific examples. Today, early
Control Application Data Growth before It Controls Your Business by IBM
of the ways that organizations can address data growth issues through the power of enterprise data management
Related Trends
Microsoft PerformancePoint available to developers
The software giant released the first Community Technology Preview (CTP) of its new business intelligence and performance management application today More...
Dec 5, 2006
SAP acquires Callixa, data integration software developer
The acquisition gives SAP distributed query processing technology, which will be used in the infrastructure of new business intelligence, reporting and analytics applications More...
Dec 7, 2005
Getting started with data mining
Companies just getting started with data mining are advised to set clear goals, prioritize data sources, cleanse data and assess analysis results before implementing changes More...
Mar 29, 2006
Related Expert Advice
Are energy-efficient KVMs next? by Robert McFarlane
I thought your "Data Center Efficiency & the EPA Report" webcast was excellent!

Do you see any opportunities or have recommendations for KVM switch improvements re: the EPA report? Do you foresee any Energy Star specs for KVMs?

Also, do you see any efficiency value in More...

Oct 15, 2007
Regulations for bank data centers by Charles King
zoning regulations for bank data centers (i.e. how far apart does one bank have to be from another)?

The most remarkable thing about spacing and zoning regulations related to the locations of banks and their datacenters is their absence. In fact, banks are likely to face more More...

Mar 26, 2006
Cooling data centers: A look toward the future by Steve Madara
What inroads are being taken so that data center managers can buy blades without having to rethink their cooling strategy? There are supplemental cooling systems that extend beyond just the available cooling modules on the market as of today. Look for a system that will work in a More...
Dec 19, 2005