Data Management

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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
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
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
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

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
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
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
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
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
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
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
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
Enterprise Information Management, Enterprise Content Management, Master Data Management - How Do They Fit Together by IBM
Enterprise Content Management (ECM) has started to move beyond departmental deployments and into an important competence and infrastructural technology. Enterprise Content Management (ECM) has started to move beyond departmental deployments and into an important
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
Proven Strategies for Archiving Complex Relational Data by IBM
to reclaim valuable capacity and lower costs.

As one of the solutions in the IBM Optim Integrated Data Management (IDM) portfolio, the IBM Optim Data Growth Solution addresses a critical operational need for enterprises that rely on large complex relational databases
An Approach to Data Management with Higher Application Service Levels at a Lower Cost by Sybase, Inc.
Learn how ASE Cluster Edition employs a shared data cluster architecture designed to support up to 32 computers (or nodes), each running one or more instances of ASE's core database manager. ASE Cluster Edition employs a shared data cluster architecture designed to support up to 32 computers
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
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
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
Using a Shared-Disk Architecture for Your Data Management System by Sybase, Inc.
a database infrastructure that enables IT to improve application service levels, reduce data center costs, and create data infrastructure for future business growth
Essential Steps for the Integrated EDW by Informatica
for building and integrated enterprise data warehouse (EDW) that directly supports master data management efforts and provides the platform for consistent business analysis across the enterprise. This white paper proposes a specific architecture for building and integrated enterprise data warehouse (EDW). This architecture directly
Anatomy of a Siebel Archiving Project: Seven Basic Principles for Archiving Siebel Application Data by IBM
the broadest range of implementation options to ensure your success. Effective enterprise data management strategies that include database archiving capabilities provide companies with a full-lifecycle approach for managing Siebel application data. The basic principles for managing application data presented in this paper can help
Anatomy of a PeopleSoft Archiving Project: Seven Basic Principles for Archiving PeopleSoft Enterprise Data by IBM
the broadest range of implementation options to ensure your success. Effective enterprise data management strategies that include database archiving capabilities provide companies with a full-lifecycle approach for managing PeopleSoft Enterprise application data. The basic principles for managing application data presented in this
Oracle Coherence: Providing Extreme Performance, Predictable Scalability, and Continuous Availability for Mission-Critical Java Applications by Oracle Corporation
This white paper outlines key steps for achieving a superior data management strategy--a ‘must have' capability for applications to operate with extreme and predictable performance and scalability. This white paper outlines key steps for achieving a superior data management strategy-a 'must have
Related Trends
Cost of poor data management significant, study says
worldwide lose 6% of annual revenue from bad data management, 77% in the US say data quality negatively impacts bottom lines More...
Mar 30, 2006
IBM unveils Information Server Blade
IBM joined its Blade Server and data management software to create a heterogeneous data integration platform that it says reduces enterprise integration costs and complexity More...
Aug 7, 2007
AOL releases, then retracts, user search data
AOL mistakenly posted (than removed) search data on a research site that gave up data about searches done by roughly 658,000 users over a three-month period More...
Aug 9, 2006
Data mining becomes more common
As data mining technology becomes easier to use, more organizations are convincing their executives that analytics is a competitive advantage More...
May 29, 2007
Case study: Travelocity deploys an active data warehouse
The travel company deployed an active data warehouse from NCR/Teradata which helped it to reduce complex query time, increase booking rates and decrease daily load times More...
Sep 7, 2006
Related Expert Advice
Pros and cons of DASD options by David Boyes
don't get all the applications and data in the same restore cycle; a separate data restoration plan is necessary. No native support for FCP-attached tape in VM -- You need at least one channel-attached drive, or you need to invent a different -- and usually quite expensive, if you choose a More...
Dec 19, 2005
Fine tuning hot aisle/cold aisle rack arrangements by Steve Madara
to the air units keep the data center floor from being truly redundant. That is to say, if one of the air units failed, the return air from the hot aisle would not be properly cooled for re-use.

Very good question and observation. As each data center layout is a little different More...

Dec 19, 2005
Drying out servers after a sprinkler discharge by Lance Harry
of a small electrical fire in our data center, our sprinkler systems were activated and now we're dealing with a clean up. How do we properly dry out our servers after a sprinkler discharge?

There are a number of issues you are probably dealing with as a result of a small fire in the More...

Jul 11, 2005