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Documents related to » data recovery plan”


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 RECOVERY PLAN: 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

From Profit Recovery to Profit Retention
Find out how best-in class-firms strengthen accounts payable (A/P) through intelligent invoice reconciliation.

DATA RECOVERY PLAN: From Profit Recovery to Profit Retention From Profit Recovery to Profit Retention Source: Anybill Document Type: White Paper Description: Find out how best-in class-firms strengthen accounts payable (A/P) through intelligent invoice reconciliation. From Profit Recovery to Profit Retention style= border-width:0px; />   comments powered by Disqus Related Keywords:   accounts payable Source: Anybill Learn more about Anybill Readers who downloaded this white paper also read these popular documents!
8/6/2010 4:59:00 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 RECOVERY PLAN: 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

Epicor Announces System Backup and Recovery Solution » The TEC Blog
Epicor Announces System Backup and Recovery Solution » The TEC Blog TEC Blog     TEC Home     About TEC     Contact Us     About the Bloggers     Follow TEC on Twitter    RSS   Discussing Enterprise Software and Selection --> Fast, Accurate Software Evaluations TEC helps enterprises evaluate and select software solutions that meet their exacting needs by empowering purchasers with the tools, research, and expertise to make an ideal decision. Your software selection starts here. Learn

DATA RECOVERY PLAN: 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

Information Life Cycle Management for Business Data
Information Life Cycle Management for Business Data. Find RFP Templates and Other Solutions to Define Your Acquisition In Relation To Information Life Cycle Management. While companies have long seen their stores of data as valuable corporate assets, how they manage those stores varies enormously. Today, however, new government regulations require that companies retain and control information for long periods of time. Find out what IT managers are doing to meet these new regulatory requirements, and learn about solutions for storing vast quantities of data for the lowest possible cost.

DATA RECOVERY PLAN: Cycle Management for Business Data Information Life Cycle Management for Business Data Source: Oracle Document Type: White Paper Description: While companies have long seen their stores of data as valuable corporate assets, how they manage those stores varies enormously. Today, however, new government regulations require that companies retain and control information for long periods of time. Find out what IT managers are doing to meet these new regulatory requirements, and learn about solutions for storin
4/20/2009 3:12:00 PM

Augmenting Data Backup and Recovery with System-level Protection
File-level recovery on its own is an incomplete strategy when it comes to meeting stringent recovery time objectives (RTOs) for complete system recovery. This paper investigates what’s at risk, where system-level recovery fits relative to current data protection approaches, the impact of system-level recovery on your IT department’s ability to meet RTOs, and the potential of system-level recovery to reduce costs.

DATA RECOVERY PLAN: Augmenting Data Backup and Recovery with System-level Protection Augmenting Data Backup and Recovery with System-level Protection Source: Symantec Document Type: White Paper Description: File-level recovery on its own is an incomplete strategy when it comes to meeting stringent recovery time objectives (RTOs) for complete system recovery. This paper investigates what’s at risk, where system-level recovery fits relative to current data protection approaches, the impact of system-level recovery on your IT
6/6/2011 10:09:00 AM

Securing Data in the Cloud
When considering adopting cloud computing or software-as-a-service (SaaS), a question most potential customers ask vendors is “How secure will our data be in your hands?” Customers are right to ask this question and should closely examine any vendor’s security credentials as part of their cloud/SaaS evaluations. This document is intended to give a broad overview of one vendor’s security policies, processes, and practices.

DATA RECOVERY PLAN: Securing Data in the Cloud Securing Data in the Cloud Source: Symantec Document Type: White Paper Description: When considering adopting cloud computing or software-as-a-service (SaaS), a question most potential customers ask vendors is “How secure will our data be in your hands?” Customers are right to ask this question and should closely examine any vendor’s security credentials as part of their cloud/SaaS evaluations. This document is intended to give a broad overview of one vendor’s security
8/13/2010 11:34:00 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 RECOVERY PLAN: 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

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 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.

DATA RECOVERY PLAN: Data Quality Basics Data Quality Basics Source: Trillium Software Document Type: White Paper Description: 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. Data
10/27/2006 4:30:00 PM

Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g for Data Warehousing and Business Intelligence. Find RFP Templates and Other Solutions to Define Your Project In Relation To Oracle Database, 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.

DATA RECOVERY PLAN: Oracle Database 11g for Data Warehousing and Business Intelligence Oracle Database 11g for Data Warehousing and Business Intelligence Source: Oracle Document Type: White Paper Description: 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
4/20/2009 3:11:00 PM

The Path to Healthy Data Governance
TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement. Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex corporate view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

DATA RECOVERY PLAN: The Path to Healthy Data Governance The Path to Healthy Data Governance Jorge García - October 13, 2011 Read Comments This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s
10/14/2011 10:12:00 AM


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