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IMPLEMENTING REAL TIME DATA WAREHOUSING ETL
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Implementing an In-house Solution that Maps to the EDRM
In order for e-discovery software to facilitate a defensible process while reducing cost and reducing risk, it must meet several requirements. In addition to being forensically sound, and having a history of court acceptance, it must support your organization’s existing IT infrastructure. Learn the critical requirements of an effective in-house e-discovery solution.
IMPLEMENTING REAL TIME DATA WAREHOUSING ETL
: Implementing an In-house Solution that Maps to the EDRM Implementing an In-house Solution that Maps to the EDRM Source: AccessData Document Type: White Paper Description: In order for e-discovery software to facilitate a defensible process while reducing cost and reducing risk, it must meet several requirements. In addition to being forensically sound, and having a history of court acceptance, it must support your organization’s existing IT infrastructure. Learn the critical requirements of an effective
3/27/2010 1:08:00 PM
Who Needs Warehousing Management and How Much Thereof?
The warehouse is no longer merely a static storage facility. It now has to use virtually real-time data to closely match supply to demand, eliminate the need to hold excess inventory, and increase the flow of goods throughout the supply chain.
IMPLEMENTING REAL TIME DATA WAREHOUSING ETL
: Who Needs Warehousing Management and How Much Thereof? Who Needs Warehousing Management and How Much Thereof? P.J. Jakovljevic - August 30, 2005 Read Comments Who Needs Warehousing and How Much Thereof? The warehouse is no longer merely a static storage facility. It now has to use virtually real-time data to closely match supply to demand, eliminate the need to hold excess inventory, and increase the flow of goods throughout the supply chain. Therefore, because broader supply chain execution (SCE)
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This article focuses on the development of strategic agility as a capability that is built into the design of an architecture. The capabilities, the article argues, are matured through six stages that offer different levels of strategic agility. Strategic agility, once capitalized through modular architectures, enables a company to achieve greater speed and flexibility in information technology (IT) deliveries.
IMPLEMENTING REAL TIME DATA WAREHOUSING ETL
: Implementing Strategic Agility through Modular Architectures Implementing Strategic Agility through Modular Architectures Source: Implement Consulting Group Document Type: White Paper Description: This article focuses on the development of strategic agility as a capability that is built into the design of an architecture. The capabilities, the article argues, are matured through six stages that offer different levels of strategic agility. Strategic agility, once capitalized through modular architectures,
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Data Grouping and Drill-down
Understanding process variation is vital—not only in manufacturing industries, but in transactional environments as well. That’s why the tools you use to understand the root cause of common cause variations need to be both powerful and easy to use, whether you’re measuring variations in sales performance, wait times in hospital emergency rooms, or cycle times for order fulfillment.
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4/25/2007 10:47:00 AM
Data Security, Governance, and Privacy
To meet regulatory requirements such as the US Sarbanes-Oxley Act (SOX), IT managers are now receiving the board-level visibility and budgets required to improve enterprise data security. For example, companies need secure and verifiable audit trails that track the activities of database administrators (DBAs) and other privileged insiders. But have you considered the seven essential elements of database security?
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3/30/2007 4:54:00 PM
10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...
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Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.
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Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.
IMPLEMENTING REAL TIME DATA WAREHOUSING ETL
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9/3/2009 4:36:00 PM
Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.
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