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Displaying 1–15 (of 518)

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Title Popularity * Date
Merkle Deploys a New Consumer Data Integration System Based on Columnar MPP Database Technology Summary
 This IDC Buyer Case Study highlights Merkle Inc.’s decision to acquire and deploy technology from ParAccel as part of its overall data warehouse (DW) and business analytics technology architecture. This Buyer Case Study focuses on the business and technology needs that triggered the decision to purchase new DW software and the results of the decision to deploy it. login required
0 comments		 06-30-2009
Driving Business Intelligence Summary
 Lease versus buy – a common decision that most consumers evaluate when car shopping. Extend the metaphor into the business-to-business domain and you have the Software-as-a-Service (SaaS) paradigm for business intelligence (BI) and marketing analytics solutions. In essence, you only pay for what you use. Who better to successfully leverage the SaaS model than Autometrics? login required
0 comments		 06-30-2009
What’s Cool about Columns Summary
 Columns provide better performance at a lower cost with a smaller footprint: it is difficult to understand why any company seriously interested in query performance would not consider a column-based solution. login required
0 comments		 06-30-2009
Inside New-Generation Analytic DBMS Summary
 It is not surprising that the Business Analytics market continues to grow rapidly and invite new innovations to feed companies’ aggressive appetites for more data more quickly. IDC’s latest research revealed that this market segment outpaced previous estimates to grow more than 14% from 2006 to 2007. login required
0 comments		 06-30-2009
The ParAccel Analytic Database: A Technical Overview Summary
 The ParAccel Analytic Database™ (PADB) is a new-generation relational database management system that combines leading-edge innovations with best practices to deliver the fastest, simplest, most cost-effective platform for analytic processing. login required
0 comments		 06-30-2009
Starting Small, but Thinking Large and Scaling Fast Summary
 As companies take steps to manage their information asset, choosing a platform and database management system is absolutely fundamental. In fact, the platform is the foundation of architecture and business intelligence, and the starting point for tool selection, consultancy hires and more. In short, a company's platform is key in defining its information culture.
0 comments		 06-25-2009
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. login required
0 comments		 06-23-2009
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. login required
0 comments		 06-18-2009
Information Integration: Metadata Management Landscape Summary
 The successful operation and use of business intelligence (BI) heavily depends on the effective management of metadata. This white paper presents concepts and strategies that can lead to successful and value-driven metadata management within an enterprise.
0 comments		 06-15-2009
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. login required
0 comments		 06-03-2009
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. login required
0 comments		 06-03-2009
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. login required
0 comments		 06-02-2009
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. login required
0 comments		 06-01-2009
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. login required
0 comments		 06-01-2009
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. login required
0 comments		 06-01-2009

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