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Core PLM Product Data and Recipe Management--Process RFP Templates
Core PLM Product Data and Recipe Management--Process RFP Templates
RFP templates for Core PLM Product Data and Recipe Management--Process help you establish your selection criteria faster, at lower risks and costs.


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.


Tibco vs Oracle Data integration
Tibco vs Oracle Data integration
Compare ERP solutions from both leading and challenging solutions, such as Tibco and Oracle Data integration.


Documents related to » controlled technical data


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.

CONTROLLED TECHNICAL DATA:
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.

CONTROLLED TECHNICAL DATA: Four Critical 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
1/14/2006 9:29:00 AM

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.

CONTROLLED TECHNICAL DATA: 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

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.

CONTROLLED TECHNICAL DATA: Developing a Universal Approach to 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
6/1/2009 5:10:00 PM

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 company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

CONTROLLED TECHNICAL DATA: business intelligence architecture, business intelligence data warehouse, change data capture, customer data, customer data integration, data cleaning, data cleaning software, data cleansing, data cleansing data, data cleansing definition, data cleansing service, data cleansing services, data cleansing software, data cleansing solution, data cleansing solutions, data cleansing strategy, data cleansing tool, data cleansing tools, data mart, data mining and warehousing, data model, data quality open source, data scrubbing, data ware house, data warehouse, data warehouse appliance, data .
3/8/2004

Logs: Data Warehouse Style
Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency.

CONTROLLED TECHNICAL DATA:
2/8/2008 1:14:00 PM

Data Grouping and Drill-down
Understanding process variation is vital—not only in manufacturing industries, but in transactional environments as well. That’s why the tools you use to understand the root cause of common cause variations need to be both powerful and easy to use, whether you’re measuring variations in sales performance, wait times in hospital emergency rooms, or cycle times for order fulfillment.

CONTROLLED TECHNICAL DATA:
4/25/2007 10:47:00 AM

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.

CONTROLLED TECHNICAL DATA: Master Data Management, MDM, Customer Data Integration, CDI, Data Integration, CRM, BI, business intelligence, data standardization, data consolidation, Customer Relationship Management.
9/11/2009

How Healthy Is Your Data Center?
IT pros managing hospital data centers with mixed network environments, long lists of remote access protocols and applications, multiple user interfaces, and what often feels like way too many tools, are searching for remote access management solutions that are efficient, secure, and cost-effective to deploy. Learn which criteria to use as a benchmark when choosing a remote access solution for a health care environment.

CONTROLLED TECHNICAL DATA: data center, remote management, remote access, IT Infrastructure, Healthcare IT, CIO, CTO, DCIM.
10/10/2011 4:04:00 AM

Optimizing Gross Margin over Continously Cleansed Data
Optimizing Gross Margin over Continously Cleansed Data.Reports and Other Software System to Use In Your System for Optimizing Gross Margin over Continously Cleansed Data. Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

CONTROLLED TECHNICAL DATA: Optimizing Gross Margin over Continously Cleansed Data Optimizing Gross Margin over Continously Cleansed Data Source: epaCUBE Document Type: White Paper Description: Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of
6/20/2006 9:23:00 AM

3 Big Trends in Data Visualization » The TEC Blog
suggestions, or even more controlled guidance—all of these elements are passed through the data visualization function of a BI application. No matter how much importance software providers give the aesthetics of visualization, all agree that a BI or business analytics application requires a visualization framework that is clear and simple and able to communicate the intended message. Here are three major trends of the last year that are reshaping the BI and analytics space: 1. Mobility The BI ecosystem

CONTROLLED TECHNICAL DATA: TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
15-12-2011


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