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Software Functionality Revealed in Detail
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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

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

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Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics


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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.

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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.

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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).

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10 Errors to Avoid When Building a Data Center


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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.

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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.

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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.

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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.

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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...

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