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Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics
No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data quality can destroy its utility and

data cleanup  Data Quality Management: The Cornerstone of Zero-Latency Business Analytics The Cost Of Poor Quality Data No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data quality can destroy its utility and cost real dollars. According to recent industry studies: Poor data quality costs businesses $611 billion per year in the United States alone (TDWI). 75% of businesses have experienced significant problems due to faulty data (PWC). Only Read More...
Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » data cleanup


Integrated Security: A New Network Approach
The challenge is to ensure that the right people gain access and the wrong people do not, making the role of information security even more critical to enabling

data cleanup  to important network or data resources for purposes of removal, duplication, or even destruction of proprietary assets. Whether the culprit is a disgruntled employee, contractor, or anonymous outsider, the invasion can lead to company downtime, cleanup costs, and/or the often unrecoverable cost of stolen proprietary data Blended Threats . These threats combine the characteristics of viruses, worms, Trojan Horses, and/or malicious code with server and Internet vulnerabilities to initiate, transmit, and Read More...
ERP for Green Supply Chain Management in Manufacturing
Manufacturers are facing pressure from regulators and customers to document their impact on the environment, including not only the simple carbon footprint, but

data cleanup  Investor demand for sustainability data is increasing. This should be a serious consideration for public companies and their suppliers. In February of 2010, the Securities and Exchange Commission (SEC) issued guidance requiring publicly-held companies to disclose their environmental liabilities that could become problematic if cap and trade regulation came into effect. The concern for sustainability of public companies from an investor perspective is not driven by altruism, but rather by a need to Read More...
Selecting Manufacturing ERP for ISO 26000 Compliance
ISO 26000 spells out best practices for corporate social responsibility (CSR). Are your enterprise systems, including ERP, capable of documenting CSR best

data cleanup  non-profit organization, which shares data with institutional investors and the public. More and more, investors are looking for corporate responsibility reports on public companies, perhaps driven by a belief that companies that fail to offer this information may be hiding conditions that could lead to substantial cost impacts in the future. Due to these market pressures—largely from the investor sector—public companies will be under increasing pressure to document social responsibility profiles of Read More...
Customer Relationship Analysis Firm Extends Reach
thinkAnalytics signs a partnering agreement with one of the largest information technology services companies in North America. Why does CGI expect

data cleanup  provide intelligent data cleanup. Data cleanup encompasses such functions as null replacement, data scaling and deduping. These functions are driven by a number of algorithms that apply AI and fuzzy logic techniques. CGI is a leading provider of IT services. With a base or about 80% of sales in Canada, the billion dollar company is making a move to establish a larger presence in the U.S. CGI has close ties with Bell Canada through the BCE holding company, which accounts for almost 40% of CGI sales and Read More...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

data cleanup  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...
Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

data cleanup  leading causes of downtime, data loss and hardware damage: power problems and temperature. As a global leader in network-critical physical infrastructure (NCPI) solutions, APC sets the standard in its industry for quality, innovation and support. Source : APC Resources Related to Data Center Project Management : Data Center (Wikipedia) Project Management (Wikipedia) Data Center Projects: Project Management Data Center Project is also known as : Project Management , Internalize Data Centers , Data Center Read More...
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

data cleanup  number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) arena and how applications such as Interaction from Interface Software can help reduce the negative impact that poor data quality has on a CRM objective. Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

data cleanup  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frustration Read More...
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

data cleanup  Afford Not To? Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage. Read More...
Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries

data cleanup  Reverse Engineers Data Into Information Metagenix Reverse Engineers Data Into Information M. Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and Read More...
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

data cleanup  a Successful Data Migration Achieving a Successful Data Migration If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Informatica's data migration solution decreases the risk and minimizes the errors inherent in data migration projects. At the same time, our solution reduces the costs of data migration projects by automating processes, improving business-IT collaboration, and incorporating proven best practices. Source : Read More...
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a

data cleanup  BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of their data as well as to ways to capture the most valuable information for improved decision making and business performance. Let’s look at what the data tells us. Below is a Pareto chart based on data from Technology Evaluation Centers (TEC) on what software users consider to be the most popular functionality features for BI Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

data cleanup  perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most Read More...
How to Comply with Data Security Regulations
A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation@and can be compliant with the common

data cleanup  to Comply with Data Security Regulations BizDomainStore.com's Remote Data Backups is the most cost effective, secure, and convenient way to automatically back up your mission critical data Source: BizDomainStore.com Resources Related to How to Comply with Data Security Regulations : Data Security (Wikipedia) How to Comply with Data Security Regulations Data security is also known as : Remote Data , Federal Data , State Data , Most Data , Mirrored Data , Financial Data , Client Data , Enterprise Data Read More...

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