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  • Conclusion: Due to years of tactical software deployments in response to urgent digital transformation uplifts, organisations have created a jungle of business intelligence (BI) technologies deployed in the absence of a well described and comprehensive approach to the challenges faced; challenges that will continue to increase with the shift to AI-enabled

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  • Conclusion: The return on investment in big data and associated analytics projects has been generally positive. It is more likely that returns over the longer term will grow too, provided strategic aims are established. The promise of big data hinges on information analysis, and therefore organisations must be clear as to use and application of the insight.

  • Conclusion: Big data and analytics projects can learn important lessons from the domain of information security analytics platforms. Two critical factors to consider when planning deployment of an analytics platform are: the need for a clear business objective and; the depth and duration of organisational commitment required. Without a clear understanding of the

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  • Conclusion: Big Data and the promise of unlocking greater revenues and better productivity is perceived as the next technology wave. No barrier exists for any business of any size accessing Big Data solutions.

  • Conclusion: The popularity and growth of online social media platforms has pushed social data into the spotlight. Humans using the Web mainly interact with human-produced data. Yet the floods of machine-generated data that flow through the Internet remain invisible to humans. For a number of reasons attempts by organisations to mine big social data to improve

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  • Conclusion: Machines are becoming increasingly proficient at tasks that, in the past, required human intelligence. Virtually all human domain expertise can be encoded in digital data with the right knowledge engineering tools. The bottleneck in understanding between humans and software is shaped by the ambiguities inherent in human communication, not by the challenge of

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  • Conclusion: Security incident and event management (SIEM) products can deliver solid insights into the security status of an organisation’s network. However, SIEM requires ongoing support, mature change control processes, and

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