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<th>[[Tendances_Technologiques|Tendances Technologiques]]</th>
<th>[[Tendances_Technologiques|Tendances Technologiques]]</th>
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<th>[[Tendances_Technologiques/Développement_d'Application_LowCode|Mégadonnées]]</th>
<th>[[Tendances_Technologiques/Mégadonnées|Mégadonnées]]</th>
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<tr>
<th>Latest version</th>
<th>Latest version</th>
<td>July 19, 2019</td>
<td>July 22, 2019</td>
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</tr>
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<tr>
<p><b><u>General Government Applications</u></b></p>
<p><b><u>General Government Applications</u></b></p>
<p>Governments around the world have benefited from the relatively recent capability of being able to analyze large quantities of information. This has led to a new concept of analytics called civil analytics. Civil analytics is the use of citizen data to monitor government programs, as well as to come up with new initiatives. Data can also be used to discover insights that could change the direction of policy making. Programs could be measured in real time for their performance and precise changes can be made effectively. Other examples of the government use of Big Data include:
<p>Governments around the world have benefited from the relatively recent capability of being able to analyze large quantities of information. This has led to a new concept of analytics called civil analytics. Civil analytics is the use of citizen data to monitor government programs, as well as to come up with new initiatives. Data can also be used to discover insights that could change the direction of policy making. Programs could be measured in real time for their performance and precise changes can be made effectively. Other examples of the government use of Big Data include:</p>
<ul>
<li>Calamity management</li>
<li>Crowd monitoring</li>
<li>Preventative law enforcement and law enforcement efficiency </li>
<li>Traffic optimization</li>
</ul><h2>Canadian Government Use</h2>
<p>Currently, many departments within the Government of Canada (GC) are using or planning to use Big Data analytics to make more benefits from the data they already have. Additionally, some departments are offering analytical services on request basis. The National Research Council has a Digital Technologies Research Centre with a business unit focusing entirely on data analytics. They have a team of data scientists and machine learning experts that can be accessed on an on-demand basis. They provide services to “organize and analyze large data sets to discover patterns and trends, provide explanations and make predictions in order to create actionable knowledge from its analysis.”<ref>Luong, A., & Charron, P. (2019, May 24).<i>[https://nrc.canada.ca/en/research-development/nrc-facilities/data-analytics-centre-research-facility Data Analytics Centre research facility].</i> Retrieved from nrc.canada.ca</ref> Similarly, Innovation, Science and Economic Development Canada’s (ISED) Big Data Analytics Centre visually explores the data it has collected about Canada’s wireless spectrum.<ref>Communications Research Centre Canada. (2018, March 19).<i>[http://www.crc.gc.ca/eic/site/069.nsf/eng/h_00045.html#bigdata CRC's Research Priorities].</i> Retrieved from crc.gc.ca</ref> In the same vein, the GC directly supplies research data of business intelligence capabilities for businesses on the Canada.ca portal.<ref>Government of Canada. (2018, July 24).<i>[https://www.canada.ca/en/services/business/research.html Research and business intelligence].</i> Retrieved from canada.ca</ref></p>
<p>Currently, many departments within the Government of Canada (GC) are using or planning to use Big Data analytics to make more benefits from the data they already have. Additionally, some departments are offering analytical services on request basis. The National Research Council has a Digital Technologies Research Centre with a business unit focusing entirely on data analytics. They have a team of data scientists and machine learning experts that can be accessed on an on-demand basis. They provide services to “organize and analyze large data sets to discover patterns and trends, provide explanations and make predictions in order to create actionable knowledge from its analysis.”<ref>Luong, A., & Charron, P. (2019, May 24).<i>[https://nrc.canada.ca/en/research-development/nrc-facilities/data-analytics-centre-research-facility Data Analytics Centre research facility].</i> Retrieved from nrc.canada.ca</ref> Similarly, Innovation, Science and Economic Development Canada’s (ISED) Big Data Analytics Centre visually explores the data it has collected about Canada’s wireless spectrum.<ref>Communications Research Centre Canada. (2018, March 19).<i>[http://www.crc.gc.ca/eic/site/069.nsf/eng/h_00045.html#bigdata CRC's Research Priorities].</i> Retrieved from crc.gc.ca</ref> In the same vein, the GC directly supplies research data of business intelligence capabilities for businesses on the Canada.ca portal.<ref>Government of Canada. (2018, July 24).<i>[https://www.canada.ca/en/services/business/research.html Research and business intelligence].</i> Retrieved from canada.ca</ref></p>
<li><b>Value:</b> Big Data is accompanied by a novel manner in which to decode data and extract value, a manner that has moved away from traditional statistics. The new field of “Big Data analytics” consists of new types of analysis, new ways of doing forecasting for detecting hidden patterns in the data that can lead to valuable insights. </li>
<li><b>Value:</b> Big Data is accompanied by a novel manner in which to decode data and extract value, a manner that has moved away from traditional statistics. The new field of “Big Data analytics” consists of new types of analysis, new ways of doing forecasting for detecting hidden patterns in the data that can lead to valuable insights. </li>
</ul>
</ul>
<p class="mw-collapsible-content"> </p>
<h2>References</h2>
<h2>References</h2>
