For this reason, risk analysis programs should also include the assessment of the quantity and broad content of legacy data
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Providing the right tools and technology infrastructure – the emergence of tools such as Hadoop, Tableau, MicroStrategy, etc. that allow storage, retrieval, analysis and visualization of data. Teaching employees how to use data analysis tools so they can perform their own analysis of data sets and how to interpret data including patterns, trends, statistical analysis, etc
Simple indicators let me present the number of days to prepare a report. Thoughtful analysis, useful metadata and a bit of code lets me break reports into categories by type and degree of difficulty
After writing the last blog on The Ocean of Big Data and its seeming repetition of past Data Warehousing implementation issues and challenges, I decided to further “educate” myself. Who knows, maybe you actually can teach an old dog new tricks! So, I re-read John Mancini’s ...
One of the most useful techniques to accomplish these goals is to Exploit Big Data through analysis. However, this is challenging due to the volume, velocity and variety of content that must be analyzed. Image-only files are useless in data analysis. Therefore, in order to take the all-important first step in exploiting all of your content is to apply indexes so that computer systems can properly begin to understand the information
In this basic example, a data analysis specialist would have to gather data from audio, video, receive data from third-party systems and, of course, have a computer understand the information, as well as context, of images
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With that said, the only relationship that it will have with your marketing strategy is that it will provide the foundation of what the goal and focus should be Use of data analysis is useless if there is no one there to relate it to the company, the company’s mission and what consumers are looking for
When the need for unconstrained handprint or cursive writing recognition is required, the need for more complex analysis arises. Standard read accuracy rates become more an art than a science and depend heavily on the types of form data, the instructions typically included (such as the instructions “please print” or “enter date as MM/DD/YYYY”), the cost of human intervention, and desired processing throughput rate
Applying content analytics helps to assuage the risks of Big Data , but also to benefit from the power of Big Data: broad analysis which yields absolute insights
A spoon of research, a cup of analysis and a jar of prudence is advised
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