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Product Data Management (PDM) RFP Templates
Product Data Management (PDM) RFP Templates
RFP templates for Product Data Management (PDM) help you establish your selection criteria faster, at lower risks and costs.


Product Lifecycle Management (PLM) Evaluation Center
Product Lifecycle Management (PLM) Evaluation Center
Define your software requirements for Product Lifecycle Management (PLM), see how vendors measure up, and choose the best solution.


Product Lifecycle Management (PLM) Comprehensive RFP Templates
Product Lifecycle Management (PLM) Comprehensive RFP Templates
RFP templates for Product Lifecycle Management (PLM) Comprehensive help you establish your selection criteria faster, at lower risks and costs.


Documents related to » presenting technical data plm


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.

PRESENTING TECHNICAL DATA PLM:
9/9/2009 2:32:00 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.

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

PRESENTING TECHNICAL DATA PLM:
10/27/2006 4:30:00 PM

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.

PRESENTING TECHNICAL DATA PLM:
6/1/2009 5:10:00 PM

Best Practices for a Data Warehouse on Oracle Database 11g
Best Practices for a Data Warehouse on Oracle Database 11g. Find Out Software and Other Solutions for Your Decision Associated with Best Practices and Data Warehouse Management. 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 performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

PRESENTING TECHNICAL DATA PLM:
4/20/2009 3:11:00 PM

Data Center Automation
With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands.

PRESENTING TECHNICAL DATA PLM:
10/30/2007 6:19:00 PM

Data Quality Trends and Adoptions


PRESENTING TECHNICAL DATA PLM: data quality trends adoptions, data, quality, trends, adoptions, quality trends adoptions, data trends adoptions, data quality adoptions, data quality trends..
8/23/2011 11:02:00 AM

Data Mart Consolidation and Business Intelligence Standardization
Improve data mart and business intelligence (BI) consolidation with Teradata and SAP BusinessObjects platforms.Download free white papers! Making information broadly and easily available to more users throughout an organization—and beyond the organization to customers, partners, and stakeholders—has never been more imperative. More enterprises are coming to understand the value of placing consistent, integrated data into the hands of everyone who needs it. Learn how a data mart consolidation program can help you improve decision making while cutting costs.

PRESENTING TECHNICAL DATA PLM: SAP, business intelligence, business intelligent, data mart, business intelligence software, business intelligence data, business intelligence server, business intelligence bi, business intelligence solutions, business intelligence tools, business intelligence system, cognos business intelligence, business intelligence data warehousing, business intelligence manager, business intelligence reporting, business intelligence services, business intelligence systems, business intelligence warehouse, data marts, business intelligence data mining, business intelligence data warehouse, business .
3/2/2010 10:32:00 AM

Data Management for Business Intelligence
Along with the increasing sophistication of BI capabilities comes an increase in data volume—yet companies want to improve time-to-information for users. Data storage and data retrieval decisions are now often made based on cost instead of business needs—leading to compromises that impact performance. Find out the BI strategies, capabilities, and technologies best-in-class companies are using to address these challenges.

PRESENTING TECHNICAL DATA PLM:
1/21/2009 11:51:00 AM

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...

PRESENTING TECHNICAL DATA PLM: 10 errors avoid building data center, errors, avoid, building, data, center, errors avoid building data center, 10 avoid building data center, 10 errors building data center, 10 errors avoid data center..
8/5/2009

Boosting the Bottom Line with Master Data Management
You may not have heard of master data management (MDM), but it can help an organization cut costs while strengthening its sales and marketing efforts. Find out how MDM can help boost your company's bottom line in this latest podcast.

PRESENTING TECHNICAL DATA PLM: master data management, MDM, Siperian, sales and marketing, business intelligence, BI, business performance management, sales leads, customer service, master data solutions, back office application, call center, customer processes, business processes, core profile information, data quality, customer retention, customer loyalty, CRM, inside sales.
10/3/2007


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