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Crossing the Chasm between IT and Business Teams with New Approaches to Business Intelligence

Source: QlikTech
For over a decade, organizations have struggled with a gap between IT and business due to shifts in perceptions of what business intelligence (BI) should be. Often, skilled IT workers get stuck in low-level reporting roles, while business workers can’t access and analyze information fast enough to make strategic decisions. This discussion with an industry technologist offers some ideas for bridging the IT/business gap.


Featured publications:

Comparing the Total Cost of Ownership of Business Intelligence Solutions
Source: Birst For many companies, traditional business intelligence (BI) software is costly and resource-intensive. So are open source alternatives that require significant configuration and integration. In contrast, software-as-a-service (SaaS) solutions can reduce the cost of a BI deployment by providing automation and pre-integration. Compare total cost of ownership (TCO) for traditional, open source, and SaaS BI solutions. Read More...
Reaping the Benefits of Next-generation Dashboards
Source: Ziff Davis The old approaches for collecting, assimilating, and delivering business intelligence (BI) data have not kept pace with today’s increasing demand for rapid decision making. Many companies use static reports and ad hoc queries, but fewer companies use dashboards and portals—which often lack the interactivity required for navigation and visualization of business data. Learn how a next-generation dashboard solution can help. Read More...
Measure, Analyze, and Manage: Optimizing Marketing Results with Business Analytics
Source: IBM 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. Read More...


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