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The complexity of operational processes can be a significant obstacle to any effort for improvement through modeling and analysis. Access this white paper for 3 principles that can be used to simplify management strategies and arrive at models that will provide you with a better understanding of your business.
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Learn how industry leaders such as the companies profiled in this study are using Lean Six Sigma approaches to enable significant innovation opportunities that have far-reaching impacts on their businesses.
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This paper analyzes the issues of conventional data warehouse design process and explains how this practice can be improved using a business-model-driven process in support of effective Business Intelligence.
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Some organizations continue to operate without documented processes, procedures and polices. Learn how to avoid risks to services levels, business continuity - and a new approach to IT - one that moves from a reactive to a more predictive model.
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Access this infographic for quick tidbits about the current state of the mobile enterprise, and what advantages companies can expect from implementing a thorough and planned out mobile strategy.
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The purpose of this paper is to highlight the key insights from the IBM Global CEO Study and relate them to the new CIO challenge: driving transformation as "change leaders" and implementing transformation as "change agents".
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The IBM Global CEO Study 2006 found that, to drive innovation, many top CEOs are collaborating beyond their organizations - with their extended networks of suppliers, customers, business partners and others
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Project-centric manufacturing business models that involve outsourcing and short product lifecycles expose manufacturers to a number of risks they were not vulnerable to previously.
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Are you sitting on your data with no plan? Do you know how to capitalize on information you already have? This whitepaper dives into the world of profiting from data. Access now to discover 4 essential steps to getting started, as well as challenges to overcome and a discussion on the importance of data integrity.
