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Most data is dumb; it is hard to find, hard to combine with other data, and hard to understand. If data is dumb, then big data is very dumb. Here are five steps to making it smart.
Huge amounts of climate data is available for free to journalists and the general public. One challenge is finding easy-to-use data analysis tools that can effectively help users visualize the raw big data.
We explain the business and technical challenges that motivate the need for smart data.
Preserve the meaning of BI by making every possible technology serve it.
To get the most value and greatest insight from your analytics, embed your analytics into your business processes.
It can be fiendishly hard to translate a BI and analytic practice to the cloud. It can be no easier to spin up a new BI and analytic practice.
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