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Featured Sponsors
Optimising the collection Process by Aspect
December 19, 2012 - (Free Research)
This white paper discusses optimization of the collections process, including risk management, list management, metrics, and more.
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10 Essential Security Policies by Global Knowledge
May 12, 2010 - (Free Research)
Writing a corporate security policy might seem complex, but ultimately it is a collection of many small policies. These ten security policies (or sub-policies) are essential to every organization, regardless of size, location, age, mission, or the product or service produced, and are presented here (in no particular order).
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MarketScope for E-Discovery Software Product Vendors by Clearwell Systems
December 21, 2009 - (Free Research)
Recession has accelerated the move to in-house e-discovery and more companies have brought, or are considering bringing, e-discovery in-house. This report will help enterprises build a business case, create a list of possible vendors and determine which ones best meet their needs.
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Performance and Scalability Benchmark: Oracle Communications Billing and Revenue Management by Sun Microsystems, Inc.
July 01, 2008 - (Free Research)
The Oracle Communications BRM application suite is a Tier 1, convergent billing framework that is architected for leading service providers. This white paper describes the performance and scalability results of Oracle Communications BRM 7.3.1 from the recent benchmark conducted at Sun Solutions Center in Paris and France.
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e-Book: Chapter 5 - Understanding the Data Collection Process by Symantec Corporation
August 2008 - (Free Research)
Improper data collection can jeopardize the admissibility or reliability of data and can result in substantial costs and potential sanctions. After reading this whitepaper you will fully understand the proper data collection process.
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IBM Analytic Answers for Prioritized Collections by IBM
February 2013 - (Free Research)
This resource introduces a portfolio of cloud-based analytics tools that can help deliver key business insights – allowing you to optimize collections, drive down company debt, and more – without the need for major business changes.
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Cost Justification of an Automated Data Collection System by Epicor Software Corporation
July 1967 - (Free Research)
Learn how automated data collection can help you increase ROI, achieve better information, reduce shipping errors, increase customer satisfaction and improve ef-ficiency of manufacturing operations.
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Simplifying Log Collection, Storage and Analysis by ArcSight, an HP Company
September 2009 - (Free Research)
ArcSight Logger is a turnkey appliance for collection, efficient storage, and high-performance search and reporting of all enterprise log data. Read this paper to learn more details.
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IBM SPSS Data Collection Lets you take Control by IBM
May 2013 - (Free Research)
View this resource to learn more about how you can interpret the feedback from customers, prospects, employees, suppliers and competitors. It explains how you can take control of your data collection and develop a fast and easy way to conduct your research and combine your results with social media comments.
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Best practices in Oracle Data Warehousing by ParAccel
January 2013 - (Free Research)
With its noninutrusive method, low-impact, real-time data integration software can liberate your systems from data extract processing batch windows for Oracle data warehousing and allow you to extract data at any time, even when users are online. Read this expert e-guide to learn more about real-time data collection for Oracle data warehouses.
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Aperture Data Collection Process: A Necessity for Realizing the Benefits of DCSM by Aperture - An Emerson Network Brand
February 2010 - (Free Research)
As the data center continues to grow in complexity, the Data Center Service Management (DCSM) discipline is becoming widely adopted by organizations that wish to migrate to higher levels of process maturity. This technical brief will discuss the benefits of using DCSM.
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IBM SPSS Data Collection - Know what they're really thinking by IBM
May 2013 - (Free Research)
Tune into this short video to find out more about how you can sift through the mountains of data in your business. It explains the benefits of custom dashboards and how your business can benefit from collaborating on ideas and optimizing decision making.
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Demystifying Switch-based ACLs by Global Knowledge
February 2013 - (Free Research)
This whitepaper aims to help you better understand switch-based Access Control Lists (ACLs) by exploring what they are used for and how to best utilize them on IOS-based Catalyst devices. View now to learn more!
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ABCs of RFID: Understanding and Using Radio Frequency Identification by Intermec
March 2009 - (Free Research)
This white paper provides an overview of RFID technology and capabilities, describes the common frequencies and technologies used in business applications, identifies major standards, and introduces ways to take advantage of RFID to improve convenience, accuracy, safety and security.
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How retailers can manage customer data collection to decrease fraud by SonicWALL
March 2011 - (Free Research)
This expert Q & A session explores the challenges retailers face as they increase data collection to combat fraudulent returns and policy abuse in today’s struggling economy. Find strategic advice on how retailers can cut down on fraud and determine the necessary tools and processes that must be in place to protect customer identities.
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8 Problems of Keyword Search in E-Discovery - A Guide for Fortune 1000 Companies by FTI Technology
December 2009 - (Free Research)
With data collections growing at an epic pace, legal teams must sift quickly through documents and e-mail at rates that would have seemed unrealistic just 5 years ago. Simply put, keyword search strategies break when thrown against the mountains of data which define today’s legal matters.
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Got Bad Data? Part 2 - Applying Business Analytics Webinar Series by SAS Institute Inc.
June 2009 - (Free Research)
SAS presents part 2 of their webinar series "Got Bad Data?. In this latest installment, we'll be discussing the Business analytics framework, data quality as a process, data collection, following data flows and uses, data quality and metrics, and continuous learning and improvement.
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