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Displaying 75–90 (of 240)

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Title Popularity * Date
Product Summary: AJAX Powered Interactive Viewer Summary
Interactive Viewer is a new AJAX–powered, BIRT–based report viewing tool that enables every user to think beyond the current structure of a report and personalize it based on task and need. Users who are not familiar or comfortable with standard report authoring tools are able to use Interactive Viewer without costly training within moments of being introduced to its intuitive interface, an inexpensive alternative to training individuals who would use the tool on a limited or casual basis.

Topics: Business Intelligence, Query & Reporting, Visualization
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23-06-2009
Agile Business Intelligence - Doubling Your Return on Investment Summary
This white paper explains how you can deliver hard-hitting business results in half the time - without compromising cross-project alignment.

Topics: Business Intelligence
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18-06-2009
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
Scaling Your Data Integration Efforts with expressor software Summary
This white paper authored by Bob Zurek from CohensionSG discusses the key requirements and high performance capabilities of the expressor semantic data integration system required for tackling a highly scalable data integration project.

Topics: Data Integration, Business Intelligence
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03-06-2009
The ROI of Data Governance: Seven Ways Your Data Governance Program Can Help Save You Money Summary
In difficult economic climates, responsible leaders look for opportunities to contain costs. Data governance programs are well positioned to assist in these efforts. This white paper from Gwen Thomas of the Data Governance Institute outlines seven ways that data governance and stewardship programs can help manage costs and a mechanism for quantifying the return on investment for those contributions.

Topics: Business Intelligence, Data Governance
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02-06-2009
The Data Governance Maturity Model Summary
For any organization, the first step to address the quality and value of corporate data is to take an honest assessment of the data management infrastructure. This DataFlux white paper introduces the Data Governance Maturity Model and explains how your organization can use this model to understand the major issues of building better data across the enterprise, to learn to utilize existing resources to achieve more effective data quality policies and how to find a data governance strategy that fits your organization.

Topics: Business Intelligence, Data Governance
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01-06-2009
Populating a Data Quality Scorecard with Relevant Metrics 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, it is difficult to determine how to react to emergent data quality issues - and determine whether their fixing these problems has any measurable business value. This white paper by David Loshin explores ways to qualify data control and measures to support the governance program.

Topics: Business Intelligence, Data Quality, KPI
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01-06-2009
Building Data Quality into an SAP Infrastructure Summary
This white paper examines the general principles of data quality as they apply to ERP systems, with a particular emphasis on SAP implementation, and how the unique types of data quality management in ERP — batch processing for data loading and migration, and real-time data monitoring for ongoing quality maintenance — can complement and enhance each other if approached with the right technology.

Topics: Business Intelligence, Data Quality
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01-06-2009
Observing Data Quality Service Level Agreements Summary
This white paper by David Loshin from Knowledge Integrity examines how to measure data quality and what to do when the data does not meet the level of acceptability. When a data quality service level agreement is in place, when issues are logged in a data quality incident tracking system, and when the individuals specified in the data quality service level agreement are charged with diagnosis and remediation, the result can be functioning operational data governance and the continuous monitoring and control of the quality of organizational data.

Topics: Business Intelligence, Data Quality
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01-06-2009
The ROI of Data Governance: A Revenue Generation Perspective Summary
Concentrating on increasing revenue necessarily means paying attention to metrics such as return on investment (ROI). This white paper from Gwen Thomas of the Data Governance Institute provides a practical guide for determining ROI for data governance, data quality, metadata, master data or other data related programs, projects or ongoing processes.

Topics: Business Intelligence, Data Quality
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01-06-2009
Improving the Accuracy of Spend Analysis through Data Quality Summary
Poor-quality product data creates difficulties in controlling the costs of production, promoting the productivity of the company and delivering finished goods. This white paper offers practical advice on how data quality technology can be used to address these issues.

Topics: Business Intelligence, Data Quality
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01-06-2009
Tapping the Full Potential of Sales and Marketing Data for Pharmaceuticals Summary
As pharmaceutical manufacturers face an era of sharply reduced sales and marketing budgets, increasingly complex and restrictive regulations and rapidly changing demand patterns over a drug's life, it is now especially important to have accurate and timely information.

Topics: Analytics
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01-06-2009
Technology for Operational Decision Making Summary
Success in business relies on making the right decisions at every level within the organization. This focus on being decision-centric is often neglected because the individual front-line decisions seem to lack impact. This white paper outlines ways to take control of these operational decisions. This approach is called enterprise decision management.

Topics: Analytics
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28-05-2009
When Standard SQL Queries Can't Get the Job Done Summary
The value-based storage model in the data model-independent correlation database overcomes the limitations of SQL to provide intuitive, unrestricted flexibility for train-of-thought data analysis and exploration, and supports unique query types.

Topics: Analytics, Data Warehousing
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28-05-2009
An Overview of the Correlation Storage Structure Summary
A radically different data warehouse database platform has a unique storage model that uses a virtual data structure and stores 100% indexed data by individual value for fast performance, total access flexibility and an ultra-compact size.

Topics: Analytics, Data Warehousing
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28-05-2009

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