Measure, Analyze, and Manage: Optimizing Marketing Results with Business Analytics

  • Source: IBM
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By adopting a data-driven approach that incorporates business intelligence (BI), predictive analytics and performance management capabilities, marketing executives can empower their teams to measure, analyze, and manage marketing efforts for greater effectiveness and contribution to top line revenue growth. These advanced analytics techniques help marketers harness all of their data, detect patterns of customer behavior, and acquire a deeper understanding of customers as individuals — ultimately leading to new methods of personalized engagement.

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Best Practices for a BI and Analytics Strategy

  • Source: IDC
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A growing number of organizations are moving toward having more pervasive business intelligence (BI) by turning to evidence-based decision making supported by a range of BI and analytics technology and processes that enable decision makers to have the best possible intelligence about customers, finances, operations, suppliers, and the market. This white paper addresses several questions that BI customers are facing. Read More

Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization

Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of... Read More

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  • Source: Oco, Inc
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  • Source: SAP
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