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Creating a Data Classification Procedure
sponsored by Red Hat
 | Video: | Posted: 20 Oct 2009
| | Premiered: | 20 Oct 2009 | |
Summary: |
You know you have to protect your sensitive data, but in order to do that, you have to find it. Data classification consists of identifying what information is confidential, then deciding how to store and secure that information. In this video, Adrian Lane of Securosis gives insight into the data classification process.
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5 Critical Factors to In-House eDiscovery Success
sponsored by Clearwell Systems
 | Analyst Report: | Posted: 13 Oct 2009
| | Published: | 01 Aug 2009 | |
Summary: |
eDiscovery for civil litigation is a fact of life in the enterprise. This Technology in Brief, written by Christine Taylor form the Taneja Group, will discuss the top 5 critical factors of an in-house eDiscovery solution.
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Solving the Challenges of Exponential Data Growth
sponsored by Syncsort
| White Paper: | Posted: 12 Oct 2009
| | Published: | 12 Oct 2009 | |
Summary: |
This paper explores the reasons why data volumes are increasing and where bottlenecks most frequently occur. It then explains why adding more hardware isn’t a solution to these performance problems and delves into the various methods that can be used to break through the bottlenecks to speed applications.
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Reducing Compliance Risk in the Cloud
sponsored by VeriSign, Inc
| Video: | Posted: 29 Sep 2009
| | Premiered: | 29 Sep 2009 | |
Summary: |
When you outsource cloud computing, you are putting your data in the hands of a third party. In this video, Rena Mears of Deloitte & Touche LLP reviews how cloud computing is effecting data classification and security. She answers some of the toughest questions about service provider agreements, compliance, and what’s next for data management.
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How to write a RFP for Master Data Management: 10 Common Mistakes to Avoid
sponsored by Siperian, Inc.
| White Paper: | Posted: 16 Sep 2009
| | Published: | 01 Sep 2007 | |
Summary: |
Critical master data management (MDM) functionality can be easily overlooked when request for proposals (RFPs) are narrowly focused on a single business data type. Ensure success by avoiding 10 costly mistakes when writing your RFP.
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Critical Technologies for Compliance and Risk Management
sponsored by Siperian, Inc.
| White Paper: | Posted: 16 Sep 2009
| | Published: | 16 Sep 2009 | |
Summary: |
Smart decision-makers are seeking technology investments -- such as Master Data Management -- to help establish good governance models that will help with regulatory compliance and lower their operational risk.
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The Flawed Vision of Customer Data Integration – How to Get it Right the First Time
sponsored by Siperian, Inc.
| White Paper: | Posted: 16 Sep 2009
| | Published: | 16 Sep 2009 | |
Summary: |
The initial goal of Customer Data Integration (CDI) was to create the most reliable customer data for the entire company. We now know that the golden opportunity for CDI lies within Master Data Management and the ability to uncover interactions and understand the relationships that companies have with their customers.
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Sybase IQ 15: Making the Economical Choice
sponsored by Sybase, Inc.
 | Webcast: | Posted: 31 Aug 2009
| | Premiered: | Available On Demand | |
Summary: |
Bill Jacobs, Director of Technical Marketing, Sybase IQ, discusses the elements and attributes of Sybase IQ that make it a very economical choice for your business intelligence, analytics, and data warehousing activity. The features in the latest release are highlighted, along with the base characteristics of Sybase IQ.
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Sybase IQ 15: More Flexibility to Adapt and Grow
sponsored by Sybase, Inc.
| Webcast: | Posted: 31 Aug 2009
| | Premiered: | Available On Demand | |
Summary: |
Please join Bill Jacobs, Director of Technical Marketing, Sybase IQ, in this webcast about the first of seven topic areas – as he discusses the new features added to Sybase IQ 15 that enhance the flexibility of Sybase IQ 15 for analytics, reporting and business intelligence applications.
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Smarter Analytics Comes of Age with Sybase IQ 15
sponsored by Sybase, Inc.
| Data Sheet: | Posted: 27 Aug 2009
| | Published: | 01 Aug 2009 | |
Summary: |
Sybase IQ is the world's leading column-based analytics server, delivering the smartest approach to enable enterprises to turn raw data into actionable information through analytics - to increase revenue, customers and margins.
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Five Myths of Infrastructure Monitoring: How End-User Monitoring Can Help You Improve Customer Satisfaction
sponsored by Hewlett-Packard Company
| White Paper: | Posted: 26 Jun 2009
| | Published: | 01 May 2008 | |
Summary: |
This paper discusses some of the common myths about infrastructure monitoring, and addresses how to ensure your infrastructure monitoring is responsive enough to satisfy and retain your customers.
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SPSS Text Analysis for Surveys™ 3.0 - Specifications: Get the most value from your surveys with text analysis
sponsored by SPSS Inc. Worldwide Headquarters
| Brochure: | Posted: 05 May 2009
| | Published: | 05 May 2009 | |
Summary: |
Use SPSS Text Analysis for Surveys to categorize text responses whether you conduct surveys to support business, education, or government decisions, or for your academic research. No matter your field, you now have a way to combine your qualitative and quantitative analyses using a single advanced but easy-to-use desktop software program.
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The Risks of Using Spreadsheets for Statistical Analysis
sponsored by SPSS Inc. Worldwide Headquarters
| Webcast: | Posted: 05 May 2009
| | Premiered: | Available On Demand | |
Summary: |
Are spreadsheets a help or a hindrance when performing data analysis? Get the real story from the author of SPSS for Dummies, Arthur Griffith. In this informative and entertaining webcast, you'll receive expert guidance on the proper uses and limitations of spreadsheets, as well as the strengths and benefits of SPSS Statistics.
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Populating a Data Quality Scorecard with Relevant Metrics
sponsored by DataFlux Corporation
| White Paper: | Posted: 26 Jun 2008
| | Published: | 04 Jun 2008 | |
Summary: |
Too often, data governance teams rely on existing measurements as the metrics used to populate a data quality scorecard. But without a defined understanding of the relationship between specific measurement scores and the business's success criteria..
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SEE: Related Topics