Business Intelligence for Process Industries

The IT investments that have allowed firms in process industries to increase the efficiency of their operations and supply chains have also created vast stores of data. Unfortunately, many companies are still unable redeploy that data to drive innovation. Learn how the next generation of business intelligence (BI) tools can help your company gain a competitive advantage by harnessing the information IT systems generate.
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Extending BI’s Reach: Anticipate Outcomes, Forecast Results, and Respond Proactively

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Business intelligence (BI) and predictive analytics use different means but can be applied together to improve the decision process at all levels of an organization. By increasing the ability to monitor and analyze data and generate predictions, BI and predictive analytics can help an organization gain proactive control of its business. TEC analyst JorgeGarcía explains how.
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Anatomy of a Decision—BI Platform vs. Tool: Choosing Birst over Tableau for Enterprise Business Intelligence Needs

This report summarizes the decision process of five firms as they navigated the BI vendor selection process with a specific focus on two often compared competitors. The five studied firms are current Birst customers and considered Tableau during their solution selection process. It is the aim of this report to distill the key alignments of business needs and solution strengths that ultimately led them to choose Birst.
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Why Enterprise Resource Planning Software Is Your Best Business Intelligence Tool

If a business is going to successfully operate competitively, it needs to expand its analytics processes beyond the rear-view mirror. In-context analytics derived from both historical information and real-time data provide more accurate and intuitively structured intelligence. Accessing this information through a built-in BI tool within an ERP environment enhances the process and empowers users to improve business outcomes in real time.
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Operational Excellence in the Process Industries: Driving Performance through Real-time Visibility

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