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Derive Insight from Business Intelligence Anywhere
Language: English
March 18th, 2010
9:00 AM Philippines / Singapore time
Embed business intelligence into every fabric of your organization by making information available in your operational processes. By embedding BI into your transactional applications, the ability of users to retrieve information wherever they are makes decision-making easier and faster, making the organization more agile, responsive and adaptive.
Register now for this live webinar to hear how MISNet implements Jaspersoft to give developers the most advanced embeddable java reporting library, its extensible framework, ease of integration, visible source code and powerful APIs provide seamless integration between transactional and analytics.
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Webinar: Choosing the Right Jaspersoft Analysis Tool: OLAP, In-Memory or Both?
Language: English
March 17, 2010
10 AM PT/1 PM ET
Register for the webinar and explore analysis best practices, illustrative use cases and live demos of Jaspersoft's wide range of analysis capabilities—and learn how to determine which JasperAnalysis approach might be better suited for your organization. You’ll also learn how Jaspersoft’s new 3.7 release gives organizations more ways than ever to explore data, identify trends, pinpoint outliers, and get answers to strategic questions.
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Webinar: Get Ahead of the Game with Next Generation Open Source BI
Language: English
March 11, 2010
10 AM PT / 1 PM ET
This one-hour Webinar, brought to you by Jaspersoft & Talend - experts in BI and Data Integration needs – will present:
- How Jaspersoft and Talend provide everything you need for data integration and data quality for BI, and operational applications
- When to use Jaspersoft, and when to use Talend
- The advantages of using open source for BI, Data Integration, and Data Quality
- How to assess the quality of your dataThe impact of poor data quality and how to clean it up
- How data integration can be used for operational and BI data sources and targets
- The specific constraints of ETL for BI: high data volumes, multiple and heterogeneous data sources, data quality management, specific data structures