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Documents related to » plm technical data sheets


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.

PLM TECHNICAL DATA SHEETS:
9/9/2009 2:32:00 PM

Achieving a Successful Data Migration
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for Achieving a Successful Data Migration. The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

PLM TECHNICAL DATA SHEETS: Achieving a Successful Data Migration Achieving a Successful Data Migration Source: Informatica Document Type: White Paper Description: The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.
10/27/2006 4:30:00 PM

Data Quality: A Survival Guide for Marketing
Data Quality: a Survival Guide for Marketing. Find Free Blueprint and Other Solutions to Define Your Project In Relation To Data Quality. The success of direct marketing, measured in terms of qualified leads that generate sales, depends on accurately identifying prospects. Ensuring data accuracy and data quality can be a big challenge if you have up to 10 million prospect records in your customer relationship management (CRM) system. How can you ensure you select the right prospects? Find out how an enterprise information management (EIM) system can help.

PLM TECHNICAL DATA SHEETS:
6/1/2009 5:02:00 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.

PLM TECHNICAL DATA SHEETS:   Product Lifecycle Management (PLM),   Project and Process Management,   Supply Chain Management (SCM) Related Industries:   Information Source: PM ATLAS Business Group, LLC Learn more about PM ATLAS Business Group, LLC Readers who downloaded this white paper also read these popular documents! Extending BI’s Reach: Anticipate Outcomes, Forecast Results, and Respond Proactively Sales Process Map Best Practices for ERP Implementation Talent Management for Small and Medium-size Businesses: Steer Your
1/14/2006 9:29:00 AM

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.

PLM TECHNICAL DATA SHEETS: data governance, data governance best practices, data governance model, data governance institute, what is data governance, data governance framework, data governance roles and responsibilities, data governance definition, data governance strategy, data governance software, data governance conference 2010, data governance maturity model, master data governance, data governance tools, data governance charter, data governance conference, enterprise data governance, data governance policies, why data governance, data governance council, corporate data governance, mdm data governance, data .
3/21/2011 1:41:00 PM

Ask the Experts: Approaches to Data Mining ERP » The TEC Blog
Mobile on demand Oracle plm product lifecycle management retail SaaS salesforce.com SAP SCM Software Selection talent management Categories Ask the Experts (12) BI and Performance Management (182) Business Process Matters (67) Customer Relationship Matters (161) FOSS Ecosystem (24) From the Project Manager s Desk (32) Humor (43) Industry Observation (1140) Information Management and Collaboration (39) Inside TEC (92) Manufacturing Operations (100) Product Lifecycle Matters (81) Risk and Compliance (27)

PLM TECHNICAL DATA SHEETS: Business Intelligence, business performance management, data mining, enterprise resource planning, ERP, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
08-05-2008

A Guide to Intelligent Data Auditing
Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of product requirements to make the right decision.

PLM TECHNICAL DATA SHEETS:
3/19/2008 6:06:00 PM

The Path to Healthy Data Governance through Data Security
Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business intelligence (BI) analyst Jorge García looks the risks and issues that companies face with securing their data, the importance and advantages of data security, and outlines a path that companies can follow to achieve data security as part of an overall data governance initiative.

PLM TECHNICAL DATA SHEETS: The Path to Healthy Data Governance through Data Security The Path to Healthy Data Governance through Data Security Jorge García - April 24, 2012 Read Comments The appropriate handling of an organization’s data is critically dependent on a number of factors, including data quality, which I covered in one of my earlier posts this year. Another important aspect of data governance regards the managing of data from a security perspective. Now more than ever, securing information is crucial for any
4/24/2012 2:48:00 PM

‘Tis that time of the year when customer and technical support people go crazy… » The TEC Blog
Mobile on demand Oracle plm product lifecycle management retail SaaS salesforce.com SAP SCM Software Selection talent management Categories Ask the Experts (12) BI and Performance Management (182) Business Process Matters (67) Customer Relationship Matters (161) FOSS Ecosystem (24) From the Project Manager s Desk (32) Humor (43) Industry Observation (1140) Information Management and Collaboration (39) Inside TEC (92) Manufacturing Operations (100) Product Lifecycle Matters (81) Risk and Compliance (27)

PLM TECHNICAL DATA SHEETS: TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
25-12-2009

The Why of Data Collection
Data collection systems work; however, they require a investment in technology. Before the investment can be justified, we need to understand why a data collection system may be preferable to people with clipboards.

PLM TECHNICAL DATA SHEETS: data collection systems, inventory, productivity, information, data.
11/3/2005

Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization
Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization. Search for IT Report or IT Guide for a Network Data Protection Playbook. Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.

PLM TECHNICAL DATA SHEETS: Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization Source: CipherOptics Document Type: White Paper Description: Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses.
7/20/2007 1:32:00 PM


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