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White Papers

 

Displaying 1–15 (of 25)

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Title Popularity * Date
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
Jaspersoft and the Analytics Landscape Summary
This white paper describes how the Jaspersoft ecosystem provides the most efficient, robust and scalable analytics solution, even as explosions in data accelerate and the market demands ever increasing insight.

Topics: Analytics, Business Intelligence
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15-07-2010
Customer Centricity, Master Data and the 360-Degree View Summary
When reviewing the popular literature on customer data integration and master data management, a frequently recurring business driver is the ability to establish a “360-degree view of the customer.” This concept has turned into the holy grail of comprehensive customer intelligence. This paper provides questions that should be considered and reviewed during any project designed to deliver a 360-degree view. By using these questions for preliminary guidance, one may clearly articulate where the business can derive value, determine performance metrics and thresholds, and improve the chances of success. The paper then explores how information sharing and identity resolution combine to show the connection between MDM and enterprise customer centricity.

Topics: Information Quality (IQ), CRM, Data Quality, Data Warehousing, Master Data Management (MDM), Customer Data Integration
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06-05-2010
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
Lessons Learned: Survey of Financial Services Companies Uncovers Data Governance Trends Summary
DataFlux conducted a survey to understand data management trends in the financial services industry. This white paper is based on that survey and examines how this industry is approaching managing its data, the breadth and depth of data governance in this sector, what motivates data management strategies, and what kind of rules the industry thinks should be introduced in the future to promote success.

Topics: Data Governance, Information Management, 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
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
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
Improving the Business Analytics Capabilities with Sybase IQ Columnar Database Summary
IDC had an opportunity to interview a global financial services firm and evaluate its business analytics solution, the results achieved as well as lessons learned by the firm are discussed in this IDC Buyer Case Study. Learn some business and technology reasons for deploying a new purpose-built analytics database for data warehousing workloads.

Topics: Data Warehousing, Databases/Database Administration, Business Analytics

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15-03-2010
Data Governance for Data Warehousing: Top Five Critical Success Factors Summary
Data governance for your data warehouse is a great starting point for undertaking an enterprise data governance initiative so that your data warehouse information can be as accurate and clean as possible. This white paper reviews the five critical success factors for a fully governed data warehouse.

Topics: Data Warehousing, Master Data Management (MDM), Data Governance, Data Stewardship
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12-11-2009
The Power of Teradata at the Price of MySQL Summary
This white paper explores the reasons and issues associated with the high cost of data warehousing performance and explains how Kickfire's technology and open standards work to deliver high end performance at costs affordable for every business.

Topics: Data Warehousing, Business Intelligence, Analytics, Appliances
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14-09-2009
Top Ten for expressor Summary
This expressor software silver bullet report discusses the top 10 reasons why customers are choosing the expressor semantic data integration for existing and new data warehousing and integration projects.

Topics: Data Integration, Business Intelligence, Data Warehousing
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03-06-2009

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