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An Improved Architecture for High-efficiency, High-density Data Centers
Globally, data center power and cooling infrastructure wastes more than 60 million megawatt-hours per year that do not contribute usefully to powering IT

data losses  with DC could reduce data center electrical losses significantly. The benefits are said to accrue from the elimination of PDU transformers, replacing a UPS with an AC-DC converter, and the creation of new IT equipment that accepts high-voltage DC input in addition to or instead of AC. These efficiency benefits are quantified in Table 1. Table 1 ' Data center efficiency improvement from DC distribution, compared to conventional design and to this paper's high-efficiency architecture DC distribution Read More...
Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » data losses


Block Unprecendented Assault on Your Customers' Personal and Financial Data
Find out more in winning the pci compliance battle, a practical guide to pci compliance, including a comprehensive plan for the secure handling, pr...

data losses  Customers' Personal and Financial Data If some of the biggest names can get caught off guard, how can you prevent it from happening to you? Bank of America, Citigroup, Polo Ralph Lauren, Hotels.com, and CardSystems Solutions have all suffered negative publicity and financial losses due to a major data security breach. You can protect yourself—with the industry's easiest, most cost-effective and highly automated solution for securing your network and achieving payment card industry (PCI) compliance— Read More...
Addressing the Complexities of Remote Data Protection
As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and

data losses  improper backup Risk of data losses until next scheduled backup Automated, continuous, non-disruptive data protection Accidental or malicious deletion of files Painstaking reloading of tapes; risk of overwriting newer data Simple drag-and-drop process to restore files Corruption of critical database Days of downtime until an expert can correct the problem Virtual restore capabilities for on-demand point-in-time access Loss of important e-mail or contact information Permanent loss of the data Simple Read More...
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

data losses  security standards for account data protection. Throughout most of the developed world, and especially within the United States, Canada, Japan and the European Union, legal mandates make organizations that handle payment information legally and financially responsible for protecting its owners' privacy and confidentiality. These organizations are also liable for financial losses that may be incurred through accidental or unauthorized disclosure of or access to such information by third parties. In Read More...
IFS Marches On, Although With a String of Losses
In August, IFS Industrial & Financial Systems, a business applications vendor with main headquarters in Linkoping, Sweden, reported results for Q2 2000. License

data losses  seamless integration of any data or information source, e-business process such as marketplaces or exchanges, enterprise applications, point solutions or other best of breed applications. It has already received favorable reviews by leading industry analysts. Like its competitors, IFS has noted a decrease in consulting revenue, which was down by 7% during the first six months. As IFS' increased license revenue indicates, companies are focused on the purchase of new IT products that will take them into Read More...
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

data losses  Definition of Data Warehousing Biographical Information Bill Inmon Bill Inmon is universally recognized as the father of the data warehouse. He has over 26 years of database technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing Read More...
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

data losses  what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

data losses  the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

data losses  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

data losses  perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most Read More...
Data Quality Basics
Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at

data losses  Quality Basics Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue. Read More...
Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

data losses  Practices for a Data Warehouse on Oracle Database 11g Best Practices for a Data Warehouse on Oracle Database 11g If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Oracle has been helping customers like you manage your business systems and information with reliable, secure, and integrated technologies. Source : Oracle Resources Related to Data Warehouse : Data Warehouse (Wikipedia) Best Practices for a Data Warehouse on Oracle Read More...
Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

data losses  Database 11g for Data Warehousing and Business Intelligence Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data. Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

data losses  number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) arena and how applications such as Interaction from Interface Software can help reduce the negative impact that poor data quality has on a CRM objective. Read More...

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