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White Papers

 

Displaying 1–15 (of 101)

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Title Popularity * Date
Exploring the Use of Social Network Analysis (SNA) in the Telecommunications Industry Summary
This study from Frost & Sullivan discusses how SNA is run in mobile network operators, cable operators and fixed providers; the nature of SNA providers, their business models and approaches; and the market size of this segment from the point of view of SNA providers.

Topics: Business Intelligence, Social Media
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15-07-2010
Social Network Analysis and KSN Summary
The document describes the principles of social network analysis, the existing software solutions (KXEN's KSN and competitors), and their possible applications.

Topics: Analytics, Business Intelligence
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15-07-2010
The Analytics Landscape Summary
This white paper provides an overview of analytic technologies and how Jaspersoft‘s products and ecosystem address those areas.

Topics: Business Intelligence
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15-07-2010
De-Risking Data Migration: The Case for Data Quality Technology Summary
This white paper by Dylan Jones provides practical advice that will help the reader understand the pivotal role data quality technology must play in a data migration. Jones describes five distinct implementations of data quality technology in detail, each one providing clear evidence for the need to - and the benefits of - adopting the right data quality approach in data migration projects.

Topics: Data Warehousing, Data Quality, Information Quality (IQ), Data Migration, Data Management
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06-05-2010
Data Migration for Project Leaders Summary
The project leader can play a critical role in ensuring a successful data migration. This guidebook by Dylan Jones of Data Quality Pro examines exactly what responsibilities and activities project leaders should fulfill and supplies details for these responsibilities, including sections on essential activities such as planning, forecasting, risk management, team selection, communication and collaboration.

Topics: Data Warehousing, Information Management, Data Quality, Data Migration, Data Management
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06-05-2010
Finding an Upside in the Downturn with Data Quality Summary
The current macroeconomic malaise means organizations in almost every sector are finding it tough. Although companies are relying even more on IT systems to run their businesses in a leaner and meaner fashion, new IT investments are invariably impacted as well. CIOs are left scratching their heads on how to sustain and fund important information management projects such as master data management (MDM) and data quality. This paper from Ovum, a leading research firm in technology, telecommunications and other business sectors, describes why a rigorous data quality program is now a business imperative rather than a luxury.

Topics: Information Quality (IQ), Information Management, Data Quality, Master Data Management (MDM), Data Governance, Data Management
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06-05-2010
A Guide to the Value of Reliable Data in Insurance Summary
How critical is reliable data to the insurance industry? Insurance companies must attract the right customers, price correctly, write the right business, decline high-risk business, mitigate risk and reserve correctly. They must also maintain positive cash flow, manage outstanding claims and get the best re-insurance deals – all the while minimizing operating expenses. If unreliable data is flowing through the organization, the impact on the core insurance operational and analytical processes can be catastrophic. This white paper from industry thought leader Mike Ferguson looks at the importance of reliable data to the insurance industry, focusing on the impact of poor data. He discusses how an enterprise data quality approach can help get you back control of your data.

Topics: Information Quality (IQ), Data Quality, Data Warehousing, Enterprise Information Management (EIM), Data Management
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06-05-2010
A Guide to the Value of Reliable Data in Retail Banking Summary
This paper by Mike Ferguson of Intelligent Business Strategies examines the impact of unreliable data on retail banks. Defining the requirements needed to guarantee data reliability in retail banking, it offers a practical approach to creating and governing that data, and shows how you can get started in making trusted data available in to help improve marketing, customer service, risk management, compliance and profitability.

Topics: Information Quality (IQ), Information Management, Data Quality, Data Governance, Data Management
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06-05-2010
A Guide to the Value of Reliable Data in Manufacturing Summary
The impact of unreliable data on manufacturing can be so negative that the return from investing in the people, processes and technologies needed to establish enterprise data governance will more than outweigh the cost of implementing such a program. This white paper by Mike Ferguson from Intelligent Business Strategies explores how reliable, trusted data can contribute significantly towards reducing unnecessary operational costs, avoiding customer dissatisfaction and cash flow problems for manufacturing companies.

Topics: Data Warehousing, Information Management, Data Quality, Data Governance, Information Quality (IQ), Data Management
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06-05-2010
Analytics: The Art and Science of Better Summary
This briefing presents a series of insightful, timely articles that highlight how people, culture, process and technology combine to overcome analytical challenges. Learn how analytics can help you make better decisions faster.

Topics: Analytics, Business Intelligence, Business Analytics
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26-04-2010
Automating Data Flows to Your Business Intelligence System Summary
Learn how to improve data quality through automation of the ETL process and integration with data sources, with robust error recovery and auditability. Ensure that data is accessed in the proper order, and processing is completed within the operating window.

Topics: Data Integration, Business Intelligence, Data Warehousing
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21-04-2010
Database Design: Getting It Right Summary
In this white paper, Bill Inmon emphasizes that any time a database is created, modified, merged or moved, the database design needs to be reviewed. To stop the flow of flawed information, inspecting and fixing every production database should be a high priority in every organization.

Topics: Data Warehousing, Data Modeling and Design, Databases/Database Administration
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29-03-2010
Business Semantics Management at the Flemish Public Administration Summary
This white paper describes the support of the Ministry of Education and Training (FMET) in Belgium in their next big leap towards information maturity. Using a metadata road map that combines metadata technology, methodology, culture and organization allows FMET to semantically unlock their earned information and so revalue it.

Topics: Business Intelligence, Metadata
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18-03-2010
Lowering the Total Cost of Ownership for Business Intelligence Databases Summary
This white paper discusses how IT executives and decision makers can lower the overall cost of business intelligence applications by selecting a business intelligence database that 1) Meets the current needs of BI applications about to be implemented; 2) Future-proofs their decision for BI systems that grow or will be deployed in the next few years; 3) Delivers a total ROI that greatly exceeds what current expensive traditional database vendors offer with their products.

Topics: Business Intelligence, Data Warehousing, Databases/Database Administration, Analytics
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16-03-2010
Why Choose a Column Database for Business Intelligence? Summary
This white paper explains how column-oriented databases can help IT directors and BI architects who are charged with implementing modern data warehouses, business intelligence databases and other read-intensive applications.

Topics: Data Warehousing, Business Intelligence, Databases/Database Administration, Analytics
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15-03-2010

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