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Documents related to » first data resources


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.

FIRST DATA RESOURCES: 1. Profiling As the first line of defense for your data integration solution, profiling data helps you examine whether your existing data sources meet the quality standards of your solution. Properly profiling your data saves execution time because you identify issues that require immediate attention from the start — and avoid the unnecessary processing of unacceptable data sources. Data profiling becomes even more critical when working with raw data sources that do not have referential integrity or
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.

FIRST DATA RESOURCES: Just remember what the first step is with any application... a person has to analyze and make a conscious decision of what is the right answer (data value, process), when and where change is needed in order to implement or configure the system. There is no way to avoid the human decision making step of getting to what is the right answer for a data field. Now, let s talk about what is needed to be successful in creating a Data Cleansing Team, it s bigger than a breadbox. The Data Project Team is
1/14/2006 9:29:00 AM

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.

FIRST DATA RESOURCES: 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

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.

FIRST DATA RESOURCES: the way an organization first experiences the need for data quality and other EIM capabilities is when they build a CRM or customer data integration (CDI) system, and find that the data they’ve loaded into the system is far less than expectations. Throughout this paper, we use CRM as the surrogate for marketing data repositories in general. Somewhere, somehow, customer and prospect data must be stored and accessed, and CRM/CDI systems, whether homegrown or vendor-supplied, are the common repositories
6/1/2009 5:02:00 PM

Understanding the PCI Data Security Standard
Understanding the PCI Data Security Standard.Secure Documents and Other Computer Software to Use In Your Complex System of Understanding the PCI Data Security Standard. The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC DSS and learn the costs and benefits of compliance.

FIRST DATA RESOURCES: Enterprise Data Security | First Data Security | Free Data Security | Improve Data Security | Increase Data Security | Integrated Data Security | Internet Data Security | Management Data Security | Online Data Security | Original Data Security | Post Data Security | Research Data Security | Retail Data Security | Small Business Data Security | Test Data Security | Web Data Security | Why Data Security | Wireless Data Security | PCI DSS Data Security | PCI DSS Data Security Architecture | PCI DSS Data
9/3/2009 4:36:00 PM

Prophet 21 First Quarter Revenues Suffer But Pipeline Grows
Will Prophet 21’s dogged commitment to its Trading Partner Connect initiative bring it success or ruin?

FIRST DATA RESOURCES: Prophet 21 First Quarter Revenues Suffer But Pipeline Grows Prophet 21 First Quarter Revenues Suffer But Pipeline Grows Steve McVey - December 13, 2000 Read Comments S. McVey - December 13, 2000 Event Summary Prophet 21 recently announced financial results for its first quarter of fiscal 2001 ending September 30, 2000. Revenue from new license sales and hardware sales plummeted 68% to $1.8 million from the previous quarter ended June 30, 2000. Total revenue decreased 39% to $8.2 million from the previous
12/13/2000

EMC to Buy Data General
WALTHAM, Mass., August 9th, 1999 (Reuters) - High-end data storage leader EMC Corp. (NYSE:EMC) on Monday moved to grab a chunk of the mid-range storage business with a deal to buy Data General Corp. (NYSE:DGN) for $1.1 billion in stock, the companies said.

FIRST DATA RESOURCES: EMC to Buy Data General EMC to Buy Data General R. Krause - August 13, 1999 Read Comments EMC to Buy Data General WALTHAM, Mass., August 9th, 1999 (Reuters) High-end data storage leader EMC Corp. (NYSE:EMC) on Monday moved to grab a chunk of the mid-range storage business with a deal to buy Data General Corp. (NYSE:DGN) for $1.1 billion in stock, the companies said. EMC, which holds a 35 percent share of the $12 billion high-end storage market, said it will lend its considerable distribution and support
8/13/1999

Datalliance Sees Strong Growth in First Half of 2013 » The TEC Blog
Sees Strong Growth in First Half of 2013 » 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 more about

FIRST DATA RESOURCES: Datalliance, Datalliance VMI, industry watch, SaaS VMI, vendor managed inventory, VMI, VMI platform, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
11-07-2013

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.

FIRST DATA RESOURCES: product data are introduced first into this “buffer zone” for cleaning and quarantine BEFORE being passed on for production and analytical functions. The epaCUBE Product Data Management Suite consumes product data (description, pricing, costing information, etc.) from a variety of sources (outside content providers, your suppliers, your ERP system, etc.) and continually cleans and prepares it for use by other systems (ERP, electronic catalog for web storefronts, other PIMs, or any other database
6/20/2006 9:23:00 AM

Data Mart Calculator
Need a model to help calculate an estimate of manpower needs by role, timeline, and labor cost to build a data mart based on user-supplied variables? Here’s a calculator that provides two estimates. The first is based on using the traditional “develop by committee,” and the second on developing the same data mart at the developmental level. The model needs minimal input and can be changed to fit your needs. Find out more.

FIRST DATA RESOURCES: provides two estimates. The first is based on using the traditional “develop by committee,” and the second on developing the same data mart at the developmental level. The model needs minimal input and can be changed to fit your needs. Find out more. Data Mart Calculator style= border-width:0px; />   comments powered by Disqus Related Topics:   Business Intelligence and Data Management,   Business Intelligence (BI),   Data Mart,   Human Capital Management (HCM),   Staffing,   Project
5/22/2009 11:18:00 AM

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.

FIRST DATA RESOURCES: in data collection, the first question to ask is Why? Our objective is never just data collection , but are rather some business objectives like lower inventory, higher quality, better customer service, or more accurate costing. We can often meet these objectives without a data collection system. For example, we can have people writing data on clipboards and later keying it in. Our data collection question is Will the results of using automated data collection be better than they were when we used
11/3/2005


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