Big data, like other disruptive technologies, has a high failure rate today, with many CIOs missing great opportunities to make the most of the data they have. But four best practices can improve the odds of your new or existing big data projects.
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In big data projects, the data might reside in a traditional database or in various unstructured data stores. It might be stored on premise or be scattered across multiple sites. The very complexity of big data projects makes data security both a challenge and an absolute imperative.
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For the last several years, cloud computing has been one of the most-talked-about technologies of recent memory. But now big data is coming on strong. What do you get if you combine the two? The opportunity to save money, improve end-user satisfaction and use more of your data to its fullest extent.
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Several recent real-world examples illustrate how mobile devices are both generating big data and providing the perfect vehicle to make big data analysis available to stakeholders and end-users across your organization and beyond.
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Big data typically combines a variety of business intelligence and analytic tools to provide organizations with fresh insights from their data. But that's only half the picture. IT executives are beginning to recognize how much more they see with the aid of visualization tools.
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