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How ready is your organization when it comes to implementing account-based marketing (ABM)? Inside, discover 5 criteria to assess AMB readiness. Review the benefits of an ABM implementation, and decide if your organization is ready to take its next steps with ABM.
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This whitepaper considers tactics to capitalize on a variety of data organizations have at their disposal. It also discusses how the right tactics and culture can give end-users the experience and confidence they need to continue being paying customers.
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This resource introduces Hadoop strategies that can address the requirements of big data – allowing your organization to optimize performance for deep data mining and analytical power.
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The following white paper outlines the top 6 worst practices that most businesses are guilty of doing. Learn how you can easily avoid these common mistakes and start moving towards a far more effective business intelligence initiative.
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This white paper introduces a customized learning assessment work package that extends the value of one business intelligence and performance management platform by teaching your business users the skills they need to drive success.
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This white paper considers the essential questions when it comes to implementing self-service analytics. Access now to see what role big data plays, how to cater to the needs of different users, and if your data is self-service ready.
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This white paper gives you 8 essential criteria for implementing self-service analytics in your organization. Discover how you can empower your business end users to tap into in-depth insights, driving more informed business moves and increasing visibility into valuable datasets.
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To ensure your end-users are getting the experience they want, read this 1-page guide that addresses the top 5 reasons to upgrade to Oracle BI 11g.
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Access the following e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.
