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Using Predictive Analytics within Business Intelligence: A Primer
by TEC Analysts
What are predictive analytics, and how are they used within business intelligence applications and for business performance management?
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Customer Data Integration: A Primer
by Lyndsay Wise
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide…
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Five Steps to Business Intelligence Project Success
by Lyndsay Wise
Many business intelligence (BI) projects fall short of expectations. Unless organizations implement a methodology and benchmark the success other organizations have experienced, BI implementations may fail to provide…
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Taking Multilingual Support to the Next Level
by Ketharaman Swaminathan
Product managers in product companies are trying to develop applications that support multilingual functionality. Multinational corporations use multilingual software applications in order to increase their productivity…
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Operational Business Intelligence and Performance Management: Key Differentiators
by Lyndsay Wise
The distinction between business performance management and operational business intelligence is sometimes unclear. Many vendor offerings overlap in terms of features and functionality, making it difficult to…
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ERP: When Transparency Becomes Tunnel Vision
by David Bourque
The face of manufacturing is constantly changing. As enterprise resource planning (ERP) software evolves and more organizations continue to use ERP solutions, they must find a way to avoid ERP’s “tunnel vision” syndrome…
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Innovations in Business Intelligence
by Anna Mallikarjunan
Business intelligence (BI) is in the midst of a new wave of innovations. Ideas in the search space, software as a service, and real-time analytics are extending the reach of BI across the complete size spectrum of…
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Distilling Data: The Importance of Data Quality in Business Intelligence
by Anna Mallikarjunan
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how…
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Open Source Business Intelligence: The Quiet Evolution
by Anna Mallikarjunan
As organizations face a pressing need to rationalize the cost of enterprise software, open source business intelligence (BI) is fast becoming a viable alternative. Learn about the current state of open source BI, with…
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La verdad sobre la minería de datos
by Anna Mallikarjunan
Hoy en día, es imperativo ser prudente. Con los crecientes volúmenes de datos, las técnicas tradicionales de análisis no necesariamente encuentran datos cruciales. Consecuentemente, la tecnología de minería de datos…
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