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Data Quality refers to the quality of data. Data are of high quality "if they are fit for their intended uses in operations, decision making and planning" (J.M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real-world construct to which they refer. These two views can often be in disagreement, even about the same set of data used for the same purpose. |
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5 Important Steps to Successful Performance Management & BI An Analyst's Perspective |
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Sign up for the webcast and you will learn: The strategic benefits of a robust information infrastructure for performance management, How to take immediate action if your operating reporting has data latency challenges, How to drive broader adoption in the business by addressing critical data challenges, Why the combination of IBM and Cognos, an IBM company, accelerates the delivery and quality of the information needed to drive business performance.
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5 Simple Solutions for Developing a Collaborative Endpoint Security |
| By : KACE |
Published Date: Nov 14, 2006 |
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The classic definition of information security states that the goal is to protect information from possible breaches in confidentiality, integrity, or availability. This paper provides some context, then five simple solutions to help mid-sized organizations keep their end point security under control.
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Best Practices in Data Governance (Video) |
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Does your business need to safeguard information, keep auditors and regulators satisfied, and improve data quality? Data governance is the answer. This informative video outlines the latest challenges and best practices in data governance. IBM data governance solutions help businesses with:• Audit and reporting • Data architecture/infrastructure • Data quality • Information lifecyle management • Metadata/business glossaries • Organizational design/development • Policy/risk management • Security/privacy/compliance • Stewardship/value creation
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Business Intelligence: Actionable Insights for Business Decision Makers |
| By : SAP |
Published Date: Jun 27, 2009 |
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Read this white paper by Don Tapscott and explore the criteria best-in-class retailers use for selecting business intelligence solutions. Companies that effectively harness the vast quantities of information that IT systems generate - both within the corporation and outside its walls - are poised to gain competitive advantage.
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Comparative Management Cost Study: Oracle Database 10g Release 2 and IBM DB2 Universal Database 9.1 |
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This report is the latest in a series of Comparative Management Cost Studies (CMCS) comparing Oracle Database 10g with database management systems offered by other leading enterprise software vendors. Earlier studies1 compared Oracle Database 10g with Microsoft SQL Server 2005 and IBM DB2 Universal Database (UDB) 8.2. In the last few months, IBM released its latest major production release of database product, DB2 UDB 9.1 (previously called "Viper"). This study compares IBM DB2 UDB 9.1 with Oracle Database 10g Release 2.
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Driving A Single View of The Customer |
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The purpose of this white paper is to outline the importance of data quality with reference to single view of customer. In any organization SVC is the foundation of successful customer relationship management (CRM).
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Driving Storage Efficiency in SAN Environments |
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This paper outlines the considerations for architecting an efficient SAN data storage infrastructure with a focus on the NetApp solutions for increased utilization, improved performance and streamlined protection to reduce operational costs.
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Energy Efficient Cooling for Data Centers: A Close-Coupled Row Solution |
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The trend of increasing heat densities in data centers has held consistent with advances in computing technology for many years. As power density increased, it became evident that the degree of difficulty in cooling these higher power demand loads was also increasing. This article discusses the efficiency benefits of row-based cooling compared to two other common cooling architectures. Learn more today!
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Ensure the Integrity of your Content: ProofMark System Technical Overview |
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This paper details the processes by which ProofMark tags electronic records with a self-validating cryptographic seal that acts as a "tamper indicator" based on a true and provable time-reference datum. With this it is able to provide instantaneous and irrefutable proof of authenticity, no matter where the data resides or who has controlled it.
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Enterprise Strategy Group Replication Methodologies and Applications |
| By : InMage |
Published Date: Feb 18, 2009 |
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Replication has become a catchall phrase that while gaining in allure is also gaining in confusion – especially in the mid-tier where data is just as important as the high-end, but IT staffing and budgets are far more limited. IT people as well as vendors have a tendency to lump all data movement functions together as replication, regardless of the method or the reason.
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Exclusive Interview: John Nydam & Tom Brennan |
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Tom Brennan and John Nydam explain the Melissa Data and Stalworth partnership, discuss the business problems caused by bad data, and describe how DQ*Plus provides a complete data quality solution for enterprise applications and commercial databases.
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Access Control, Anti Spam, Anti Spyware, Anti Virus, Application Security, Auditing, Authentication, Biometrics, Business Continuity, Compliance, DDoS, Disaster Recovery, Email Security, Encryption, Firewalls, Hacker Detection, High Availability, Identity Management, Internet Security, Intrusion Detection, Intrusion Prevention, IPSec, Network Security Appliance, Password Management, Patch Management, Phishing, PKI, Policy Based Management, Security Management, Security Policies, Single Sign On, SSL, Secure Instant Messaging, Web Service Security, PCI Compliance, Vulnerability Management |
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