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Proactive Performance Management

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Proactive Performance ManagementWhite Papers (View All Report Types)
 
IBM Predictive Maintenance and Quality for metals and mining
sponsored by IBM
WHITE PAPER: The following white paper examines the current market struggles and operational challenges that are being faced by many industrial companies. Read on to learn how by implementing a predictive maintenance and quality solution, businesses can reduce operational costs, improve equipment productivity, and more.
Posted: 21 Oct 2014 | Published: 21 Oct 2014

IBM

We Used to Schedule Repairs, Now We Predict Them
sponsored by IBM
WHITE PAPER: Access the following white paper to uncover a solution to the conventional ad hoc approach to system maintenance. Learn about predictive maintenance and how it can detect problems and areas of attention way before it causes your business severe downtime and slowed productive processes.
Posted: 07 Feb 2014 | Published: 07 Feb 2014

IBM

Seven Symptoms of Forecasting Illness
sponsored by IBM
WHITE PAPER: This white paper describes the most common forecasting problems and provides a prescription for bringing them back to health.
Posted: 17 Jul 2014 | Published: 30 Apr 2010

IBM

Asset Management: The Changing Landscape of Predictive Maintenance
sponsored by IBM
WHITE PAPER: The following white paper explores the importance of having a predictive maintenance solution to help ensure the prosperity of assets within your enterprise. Learn how this technology can put a stop to conventional ad-hoc approaches to manage failing processes, how it can improve workflow, and more.
Posted: 14 Jul 2014 | Published: 14 Jul 2014

IBM

Optimize process and assets with operational analytics
sponsored by IBM
WHITE PAPER: View the following webcast to learn about how when predictive analytics, when paired with business intelligence, can allow you to gain true operational intelligence into how and why your systems or applications are doing what they are. See how you can make better decisions, reduce costs, increase process efficiency, asset productivity, and more.
Posted: 10 Feb 2014 | Published: 10 Feb 2014

IBM

After the crisis: What now?
sponsored by IBM
WHITE PAPER: To succeed in this new climate, you now need to take decisive action to preempt scarcity, drive cost efficiency and find targeted approaches to revenue growth. Read this executive report to find out how.
Posted: 26 Aug 2010 | Published: 09 Mar 2010

IBM

Maximize asset productivity and operational performance
sponsored by IBM
WHITE PAPER: A "predictive maintenance" approach to enterprise asset management can help give you the visibility you need into your daily operations, reducing operational costs and minimizing asset downtime. In this resource, explore the ins and outs of predictive maintenance, and discover the benefits you could enjoy from this strategy.
Posted: 29 Aug 2013 | Published: 31 Jul 2013

IBM

Quantifying the Value of Remote Maintenance
sponsored by Avaya Inc.
WHITE PAPER: A common misconception about maintenance service is that problems need to be fixed after they occur. While this approach may be true for traditional hardware maintenance, a rapidly evolving concept has taken the industry by storm: preventive maintenance.
Posted: 06 Feb 2007 | Published: 01 Jan 2006

Avaya Inc.

Improving Organizational Performance Through Pervasive Business
sponsored by SAP America, Inc.
WHITE PAPER: Explore the growing body of evidence suggesting a direct link between investment in business analytics solutions and organizational performance. This IDC white paper highlights market trends that point toward more pervasive use of BI solutions.
Posted: 17 May 2012 | Published: 31 Mar 2009

SAP America, Inc.

Medio's™ analytics transform mobile data into business action, IBM System x and Intel Xeon processors helps take the guesswork out of CRM- A Case Study
sponsored by IBM
WHITE PAPER: Based in Seattle, Medio Systems is a leader in the emerging field of predictive analytics, quickly analyzing data streams to give mobile phone carriers and providers actionable insight into their customers’ preferences and buying habits.
Posted: 04 Nov 2011 | Published: 04 Nov 2011

IBM
 
 
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