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Posts tagged ‘data analysis’

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The Challenges of Machine Searching

Guest post by Lorna Campbell, Nalanda Technology There are a lot of variables and risks when searching disparate sources with different standards, qualities, volumes and potentially duplicated. If 20% of the average workforce is spent searching, are they finding the material they are looking for in a precise and cost effective manner? In the past we used libraries for research and would ask academics for help, to do so we needed to give precise requirements and variables. If we were not precise there was a risk that the researcher would not provide a helpful response. With growth in unstructured data, in general terms, we need to be as precise or else risk having too many results to manage. Some of […] Continue Reading

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What Changes Will Big Data Analytics Bring?

Outcomes are an important motivator in the business world and beyond, but just how much are companies driven by the end goal that inspired their whole enterprise? What if the process of reaching a desirable outcome was more efficient because metric-based evidence had eliminated time-wasting efforts? Automatic data analysis will allow workers to significantly shorten the time dedicated to research and grappling to form insight needed for reliable, focused planning. As companies grow their presence on social media, through email, and obtain access to other data sets that could augment and inform their internal information, the chance to quickly understand a market shift grows more realistic. These new forms of customer information are growing in business thanks to content-driven marketing, […] Continue Reading

Big Data In A Big Brave World

The ancient Mayans are often recognised for their skills in accurately analysing planets and stars in the night sky with the most primitive of tools. Ancient tablets provide evidence of their understanding of astronomy, as well as their ability to accurately predict lunar and solar eclipses many decades ahead. Such examples of human endeavour are testament to our curious nature and inherent penchant for foresight. Interestingly, such practices bear parallels to what we now refer to as big data. The Mayans were effectively analysing data from the observable universe, which is comparable to an unstructured database with billions of years’ worth of data. Similarly, big data — the practice of handling unconventionally large datasets, traditionally the preserve of the corporate […] Continue Reading