Master Data Management: Extracting Value from Your Most Important Intangible Asset

  • Source: SAP
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In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe that they are using master data, when in fact what they are relying on is data that is dispersed throughout the enterprise. Discover the importance of master data and how the ideal master data management (MDM) solution can help your business get it under control.

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How to Use Projects to Master Asset Management

  • Source: IFS
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IFS co-founder Ulf Stern and senior advisor Anders Wilhelmsson discuss how project management functionality that is tightly integrated with enterprise asset management (EAM) and asset lifecycle management (ALM) tools is essential to executives of asset-intensive industries. Lacking this integration, valuable asset data is lost and asset utilization cannot be maximized. Read More

Modern Finance in the Digital Age: Measure and Respond Best Practices

Leveraging big data and social media is crucial not only in order for businesses to remain relevant and competitive in today’s global marketplace, but also in order to develop and maintain a new successful business model capable of responding quickly to market behaviors. Businesses need to respond to these powerful and important sources of data found within the “third platform” of online social interaction, cloud technology, mobility of customers, and information sharing. This digital data, combined with intangible assets, represent an increasingly important source of value for companies. The Measure and Respond Best Practices Method effectively processes a vast amount of digital information, aiding in the ongoing development of business plans that utilize these new intangible assets, allowing the user to create a business model that is holistic in its approach to managing and utilizing third platform information.

Capturing and managing a large amount of data is vital, but so too is extracting the pertinent information—inconsistently defined data can be a financial hindrance to business. In this white paper, learn how Oracle uses analytical tools through five key processes: Report and Comply, Measure and Respond, Plan and Direct, Procure to Pay, and Project Financial Management, allowing the user to understand how to develop and adopt best new practices by focusing on relevant information, derived from third platform sources. Decision-making processes can then be accomplished using evidence-based information pulled from high-quality data. Read More

Modern Finance in the Digital Age: Measure and Respond Best Practices

Leveraging big data and social media is crucial not only in order for businesses to remain relevant and competitive in today’s global marketplace, but also in order to develop and maintain a new successful business model capable of responding quickly to market behaviors. Businesses need to respond to these powerful and important sources of data found within the “third platform” of online social interaction, cloud technology, mobility of customers, and information sharing. This digital data, combined with intangible assets, represent an increasingly important source of value for companies. The Measure and Respond Best Practices Method effectively processes a vast amount of digital information, aiding in the ongoing development of business plans that utilize these new intangible assets, allowing the user to create a business model that is holistic in its approach to managing and utilizing third platform information.

Capturing and managing a large amount of data is vital, but so too is extracting the pertinent information—inconsistently defined data can be a financial hindrance to business. In this white paper, learn how Oracle uses analytical tools through five key processes: Report and Comply, Measure and Respond, Plan and Direct, Procure to Pay, and Project Financial Management, allowing the user to understand how to develop and adopt best new practices by focusing on relevant information, derived from third platform sources. Decision-making processes can then be accomplished using evidence-based information pulled from high-quality data. Read More

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