Data Cleansing Great Plains: Related Documents

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 CLEANSING GREAT PLAINS:
1/14/2006 9:29:00 AM

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.

DATA CLEANSING GREAT PLAINS:
6/1/2009 5:10:00 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.

DATA CLEANSING GREAT PLAINS:
9/3/2009 4:36:00 PM

Great Plains on a Shopping Spree
On January 6, in an effort to expand its customer base and reseller partner channel Great Plains, a provider of financial management software for midsize businesses, announced it plans to acquire RealWorld Corp., a developer of accounting and business solutions. In a separate move, Great Plains also unveiled plans to acquire Fixed Asset Management LLC, a wholly owned subsidiary of The Forestar Group to gain the rights to Forestar's Fixed Asset Management product, which allows a company to record, track, depreciate, and analyze its fixed assets.

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1/28/2000

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.

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8/13/2010 11:34:00 AM

A Roadmap to Data Migration Success
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

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3/16/2011 11:27:00 AM

The Insider’s Guide to Great Customer Service on the Web
Companies that provide superlative service keep their customers satisfied and loyal. It’s particularly important to deliver great customer service on the web—which is why great web self-service should be a company’s top priority. Unfortunately, many executives who would have a heart attack if their call centers were unresponsive don't show the same concern about having an unresponsive web site.

DATA CLEANSING GREAT PLAINS:
2/8/2007 3:21:00 PM

Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

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3/22/2011 10:17:00 AM

The Data Explosion
RFID and wireless usage will drive up data transactions by ten fold over the next few years. It is likely that a significant readdressing of the infrastructure will be required--in the enterprise and the global bandwidth.

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10/20/2004

Great Product: Too Bad The Architecture Doesn’t Fit
During the process of product selection a great deal of attention is given to the functional capabilities of the software being evaluated. While this aspect is obviously important, ignoring the technical mechanisms by which the software actually operates can be fatal to a project. In this document we explain how to avoid the pitfalls.

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11/29/2003

Microsoft says OLE for Data Mining: Is it Bull?
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a proprietary data mining specification. It is purported to extend the Structured Query Language (SQL) to allow easier and faster incorporation of data mining queries into existing data warehouse solutions.

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3/28/2000