Big data Whitepapers


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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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Solving your big data problems with fast data
By Tibco | 13/5/2015
This ebook looks at how you can make better decisions and take instant action with fast data as well as how fast data future proofs your business. Learn: how you can use fast data to truly make a difference in customer loyalty and revenue, the four step process to decision-making and action-taking, how being event driven can both improve system performance and business outcomes.
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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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Succeed with Big Data
By EMC Corporation | 26/3/2015
This whitepaper explains how to apply big data approaches and technologies to identify and advance top strategic initiatives. By employing a data lake approach, you’ll gain a massively scalable, high performance, yet cost-effective platform to deliver data-driven insight and applications.
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Dealing with the data deluge
By Symantec | 28/1/2015
CIO Australia’s Custom Research Group asked more than 100 CIOs, IT, network and infrastructure managers, and chief data and security officers about how they are dealing with the data deluge. These findings look at the growth and challenges for organisations tapping into information, what’s stalling good data management; and statistics on spending, efficiency and ownership.
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Data warehouse optimization with Hadoop
By Cloudera | 31/10/2014
This whitepaper outlines new reference architecture for data warehouse optimisation to help organisations speed time to value, maximize productivity, lower costs and minimise risk. • Traditional data warehouse environments are overwhelmed by soaring volumes and varieties of data pouring in • An upgrade is not the most effective way to manage an excess of seldom-used data. To keep pace with exploding data volumes, the data warehouse itself needs to evolve. • One emerging strategy is data warehouse optimisation using Hadoop as an enterprise data hub to augment an existing warehouse infrastructure.
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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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