Analytics Whitepapers


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Redefining networks for cloud, analytics, mobile, social and security
By IBM Australia | 19/8/2015
Much has been written about cloud, big data and analytics, mobile, social, and IT security as significant forces that are transforming information technology and business, but what about their impact on networking? This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data centre and enterprise networks and the changes that organisations will need to make in order to capitalise on these technology forces.
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Business value of managed services
By IBM Australia | 15/6/2015
This whitepaper looks at the dramatic shift in the relationship between technology and business and the challenges organisations are facing with expanding investments in mobility, social media, and Big Data/analytics — and, most significantly, a transformation to cloud-based delivery.
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New technology adoption is pushing enterprise networks to the breaking point
By IBM Australia | 15/6/2015
This infographic looks at pressures on enterprise networks as demand and deployment rates for cloud, big data and analytics, mobile, social as IT security capabilities sky-rocket.
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Redefining networks for cloud, analytics, mobile, social and security
By IBM Australia | 15/6/2015
Cloud, big data and analytics, mobile, social, and IT security have impacted networking – bringing it almost to breaking point. This whitepaper looks at the future of networking to accommodate these evolving trends.
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Anatomy of a decision: What to consider when investing in analytics
By Tibco | 21/5/2015
This report examines the challenges and evaluation criteria of three organisations looking to address gaps in their existing analytics. The research subjects included a multi-national biotechnology firm, a global petrochemical firm, and a mid-sized financial services firm. And although unique in industry, they shared common challenges including: Challenges with legacy solutions, the limitations presented by their default reporting tools, and difficulty in seeing the “full picture” when conducting analysis.
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Guide to predictive analytics
By Tibco | 13/5/2015
In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Find out: how predictive analytics moved from government conceptual models to the corporate mainstream, the six business uses of PA that provide the best benefits across a wide array of industries and the best practices for enterprises to support their decision-making and future outcomes.
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Building Big Data into business delivery
By EMC Corporation | 26/3/2015
This research report, produced by CIO Custom Solutions Group in association with EMC – examines how both marketing, combined with IT leadership, is responding to the demands for big data utilisation in business.
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Cloudera & Informatica unleash the power of Hadoop
By Cloudera | 31/10/2014
This whitepaper discusses why an analytics-ready Hadoop-based enterprise data hub platform and advanced integration are critical technologies to take full advantage of big data. • Organizations increasingly recognize the potential of big data to transform their business • One of the biggest challenges associated with big data projects is a shortage of resource skills. • Learn about a solution to increase productivity up to five times with readily available trained developers
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Full-fidelity analytics and regulatory compliance in financial services
By Cloudera | 31/10/2014
This report discusses how the key to optimizing business operations in the financial services sector is maintaining an efficient and comprehensive Big Data infrastructure. • New regulatory compliance laws mean financial services organizations are required to be able to access years of historical data in response to regulators’ requests for information • Federal stress tests have increased the demand for predictability and integrated solutions for capital asset management. • The size, expense, and complexity of data management at this scale easily overwhelms traditional systems
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Intel and Cloudera: Accelerating enterprise Big Data success
By Cloudera | 31/10/2014
This whitepaper explain how uniting leading enterprise analytic data management software with an Intel data centre is the fastest way to achieve industry adoption of Big Data solutions. • In the past few decades, Intel has been a pioneer and the force behind major shifts and advances of technologies • Today, Big Data is one of the most innovative trends in data management and Apache Hadoop is the primary technology. • The power to drive the inflection points in data centre technologies lies with the ability to have software and silicon co-evolve to deliver dramatic gains.
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