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 data element type


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 element type  a truly integrated CRM. Data quality, therefore, should not be considered a one-time exercise. It has to be integrated as a core element in managing a business. Defective data quality leads to customer complaints and customer defection. Therefore, it is imperative to clearly define a standard for your data requirements and how these requirements should support specific business objectives. One common affliction of data quality is a result of the fast pace of business environments. Information is

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Software Functionality Revealed in Detail

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Documents related to » data element type

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 cost real dollars.

data element type  one-to-one relationship between two data elements, does the existence of element A always imply the existence of B? If we expect a one-to-many relationship, is there always at least one B for every A? Many applications and ETL jobs turn off referential integrity checks in order to speed the loading of databases (or use some other logic to check referential integrity). As a result, the data that ends up in a database that supposedly provides referential integrity can often be incorrect. Linkages . Are Read More

Six Misconceptions about Data Migration


A truly successful data migration project involves not only an understanding of how to migrate the data from a technical standpoint, but an understanding of how that data will be used and its importance to the operation of the enterprise.

data element type  new system that the data should be migrated to. The results of early migration passes will also help the implementation team understand how the new software works, allowing it to make better decisions. It might take multiple migration passes before a company is in a position to test business processes in a new system. Lesson learned: Migration is a process, and not a big-bang event; it should be seen as a central element of the implementation. Planning the number of migration passes will help you Read More

Managing Encryption Keys: Best Practices for Ensuring Data Recoverability


Heightened awareness of vulnerabilities in sensitive stored data has resulted in the increased application of encryption technology. To secure data at rest, a well-defined process for handling the keys used to encrypt data—as well as the keys used to safeguard the data encryption keys—is essential. With the proper key management controls in place, companies can ensure that data is effectively secured and recoverable.

data element type  or systems, to restore data into cleartext form as required to perform their job duties. Automating key management through the use of applications and utilities can greatly reduce the risk inherent in manual key handling, but there is still an element of process that needs to be deined and consistently followed in order to avoid exposing data assets to unnecessary risk of exposure or loss. This paper assumes familiarity with basic terminology related to cryptographic functions. Additionally, since the Read More

Integrating All Information Assets Part Four: What Approach Do You Take?


The most crucial element of integration lies in the approach you take to achieve it. By far the most forward thinking approach is to "technology enable" existing systems, externalizing components by supplementing application logic with externally defined business rules, workflow technologies and event management. This is an excerpt from the book ERP Optimization (Subtitle: Using Your Existing System to Support Profitable E-Business Initiatives).

data element type  that goes beyond the data level and must involve application logic, and finally there are issues associated with providing a consistent and meaningful presentation of the applications and the information contained therein. But the most crucial element of integration lies in the approach you take to achieve it. While the alternative that was most widely discussed in the late 1990's was replacement of multiple disparate business applications with a single, integrated system constructed with the latest Read More

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...

data element type  Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it's also a process that can go wrong in a number of different ways. 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 commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for commissioning team Read More

Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

data element type  to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. 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 classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly.

data element type  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

The Role of Cloud in Your Storage and Data Protection Strategy


Find out in Making Cloud an Integral Part of Your Enterprise Storage and Data Protection Strategy.

data element type  in Your Storage and Data Protection Strategy The Role of Cloud in Your Storage and Data Protection Strategy Cloud storage is gaining in popularity with companies seeking a more efficient, dynamic, and responsive IT environment. But what are the issues and challenges involved? And how do you make sense of a bewildering maze of cloud storage options? Find out in Making Cloud an Integral Part of Your Enterprise Storage and Data Protection Strategy . In this practical IDC report, you'll learn about the Read More

Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses


To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available when you need them.

data element type  Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available Read More

Implementing Energy-Efficient Data Centers


But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

data element type  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you'll learn how to save money by using less electricity—whether your data centers are still in the design Read More

A One-stop Event for Business Intelligence and Data Warehousing Information


The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing, business intelligence, and performance management. These conferences supply a wealth of information aimed at improving organizational decision-making, optimizing performance, and achieving business objectives.

data element type  for Business Intelligence and Data Warehousing Information The Data Warehousing Institute ( TDWI ) hosts its quarterly World Conference in cities across the US to help organizations involved in data warehousing, business intelligence (BI), and performance management, by giving them access to industry experts, and providing impartial classes related to topics pertinent to the industry. As the industry grows, organizations are faced with questions about how to best access their data to drive profits and Read More

Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

data element type  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More

Beware of Legacy Data - It Can Be Lethal


Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

data element type  of Legacy Data - It Can Be Lethal Beware of Legacy Data It Can Be Lethal Featured Author - Jan Mulder - August 23, 2002 Introduction The term legacy is mostly used for applications. For example, according to the Foldoc dictionary, legacy is: A computer system or application program which continues to be used because of the cost of replacing or redesigning it and often despite its poor competitiveness and compatibility with modern equivalents. The implication is that the system is large, monolithic Read More

Tailoring SAP Data Management for Companies of All Sizes


The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management.

data element type  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More