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  "documentTitle": "IBV Research Report",
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  "notes": "The slide uses a honeycomb diagram to illustrate the components of 'Value creation' in the context of analytics and innovation.",
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      "text": "Analysis revealed organizations using big data and analytics within their innovation processes are 36 percent more likely to beat their competitors in terms of revenue growth and operating efficiency.",
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      "text": "Value creation honeycomb diagram showing six supporting pillars: Access and analyze customer-generated data, Enable wider use of big data and analytics for innovation, Believe in training employees in analytics, Effectively use big data and analytics tools for innovation, Measure return on innovation, Promote a culture conducive to innovation.",
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      "text": "Promote excellent data quality and accessibility\nMake analytics and innovation a part of every role\nBuild a quantitative innovation culture.",
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      "text": "revenue growth: 36%",
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      "text": "Leaders are markedly different as a group: They innovate using big data and analytics within a structured approach, and they focus on collaboration. Strivers, while investing in tools that support innovation for specific functions, are less certain about which activities are the most important for innovation. The group we defined as Strugglers is the weakest in innovation activities across the board. Strugglers have no formal innovation processes and possess other internal challenges. They are more risk averse by nature, and when they do innovate, it tends to occur in isolated pockets.",
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      "text": "Outperformers' capability to extract valuable data from different sources and translate it into concrete results through deep analysis sets them apart from others. Of the outperformers in our survey, 92 percent were Leaders or Strivers, and only 8 percent were Strugglers. As for the underperforming organizations, almost half were Strugglers.",
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      "text": "Analysis revealed organizations using big data and analytics within their innovation processes are 36 percent more likely to beat their competitors in terms of revenue growth and operating efficiency. Indeed, outperforming organizations are 23 percent more likely to use big data tools compared to others, and almost 79 percent more likely to use analytics tools.",
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      "text": "Source: IBM Institute for Business Value.",
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