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Documents related to » data storage and recovery


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.

DATA STORAGE RECOVERY: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: 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
9/9/2009 2:32:00 PM

Four Critical Success Factors to Cleansing Data
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to Four Critical Success Factors to Cleansing Data. Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

DATA STORAGE RECOVERY: Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data Source: PM ATLAS Business Group, LLC Document Type: White Paper Description: Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology. Four Critical Success Factors to Cleansing Data
1/14/2006 9:29:00 AM

New Storage Array from Sun
Sun has launched an attempt to break into the ranks of large-scale and enterprise storage system vendors like EMC, IBM, and Compaq.

DATA STORAGE RECOVERY: and Linux/Intel. The exploding data requirements of the Net economy have brought about a new storage paradigm that requires dynamic, intelligent, network-based storage services for heterogeneous environments, said Denise Shiffman, vice president of marketing for Sun Network Storage. Customers need to be able to scale capacity, performance and availability at the same time, and they need to be able to do it quickly and cost-effectively. Sun is the first to provide this three-dimensional scalability in
7/13/2000

Epicor Announces System Backup and Recovery Solution » The TEC Blog


DATA STORAGE RECOVERY: Disaster Recovery, discrete ERP, Epicor, industry watch, risk management, system backup, system backup & recovery, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
31-10-2012

Developing a Universal Approach to Cleansing Customer and Product Data
Developing a Universal Approach to Cleansing Customer and Product Data. Find Free Proposal and Other Solutions to Define Your Acquisition In Relation To Cleansing Customer and Product Data. Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

DATA STORAGE RECOVERY: Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data Source: SAP Document Type: White Paper Description: Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, a
6/1/2009 5:10:00 PM

Best Practices for Eliminating Fragmentation With Modern Storage Technologies
Best Practices for Eliminating Fragmentation with Modern Storage Technologies: Expand your knowledge about fragmentation of file system with Diskeeper. Due to the significant complexity and breadth of the software and hardware used in modern storage environments, there are many myths and misconceptions regarding the continuing need for solutions to fragmentation. Although it is understandably easy to accept many of them as a means for eliminating fragmentation, the fact remains that the disk is the weak link. Find out more.

DATA STORAGE RECOVERY: Best Practices for Eliminating Fragmentation With Modern Storage Technologies Best Practices for Eliminating Fragmentation With Modern Storage Technologies Source: Diskeeper Corporation Document Type: White Paper Description: Due to the significant complexity and breadth of the software and hardware used in modern storage environments, there are many myths and misconceptions regarding the continuing need for solutions to fragmentation. Although it is understandably easy to accept many of them as a means
4/8/2010 11:21:00 AM

Small Business Data Storage Solutions: Which Direction Should Your Creative Company Take?
With limited IT budgets and resources, how can small to midsized companies effectively and affordably manage and secure their digital assets? Creative companies, with assets that are almost entirely digital, are especially concerned with effective data management. Explore options that can save time and money—and provide your creative companies with creative solutions for solving your digital file management problems.

DATA STORAGE RECOVERY: Small Business Data Storage Solutions: Which Direction Should Your Creative Company Take? Small Business Data Storage Solutions: Which Direction Should Your Creative Company Take? Source: Synology America Corp Document Type: White Paper Description: With limited IT budgets and resources, how can small to midsized companies effectively and affordably manage and secure their digital assets? Creative companies, with assets that are almost entirely digital, are especially concerned with effective data
5/4/2009 4:43:00 PM

Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

DATA STORAGE RECOVERY: Customer Data Integration: A Primer Customer Data Integration: A Primer Lyndsay Wise - September 11, 2009 Read Comments Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization s customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service.
9/11/2009

Data-driven Design
Creating and maintaining a successful digital experience that drives business results requires the right research insight, design, technology, and ongoing optimization. Forrester conducted an online survey of 209 digital experience professionals in the US to evaluate current practices around Web site monitoring and digital experiences. Read about the adoption, benefits, and challenges of current data-driven design processes.

DATA STORAGE RECOVERY:   Business Intelligence and Data Management,   Web Authoring,   Business-to-Consumer Web Sales,   Web Site Monitoring Related Industries:   Industry Independent Related Keywords:   Extractable,   Data Driven Design,   Forrester,   Analytics,   User Experience Design,   Business,   Value,   Metrics,   Website Development,   web development,   web site development tools,   web page development Source: Extractable Learn more about Extractable Readers who downloaded this white paper also
5/15/2012 1:00:00 PM

The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.

DATA STORAGE RECOVERY: The New Virtual Data Centre The New Virtual Data Centre Source: Quocirca Ltd Document Type: White Paper Description: Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your
2/3/2011 8:58:00 AM

The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

DATA STORAGE RECOVERY: The Truth about Data Mining The Truth about Data Mining Anna Mallikarjunan - June 19, 2009 Read Comments A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other
6/19/2009


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