/home/leansigm/public_html/components/com_easyblog/services<title>Importance of analytics</title>
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	<h1>Importance of analytics</h1>
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			<span class="post-date">May 29</span>

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				Posted by <a href="/forum/user/2285-sukriti-agarwal">Sukriti Agarwal</a>				in <a href="/resources/sigmaway-blog/analytics">Analytics</a>			</span>
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	<p>The growing potential of big data should incorporate analytics into its strategy to make better and faster decisions. Businesses can use data and analytics to make better decisions by using granular data. New machine learning has a lot of applications and benefits. Systems enabled by machines can provide better benefits. The technologies could generate productivity gains and an improved quality of life, but they carry the risks associated. Industries are getting greatly influenced by data and analytics, and the effects will become more pronounced when it reaches the masses. Organizations that can harness these capabilities will be able to create significant value and differentiate themselves, whereas other people might not be happy with this. Read more at: <a href="http://blogs.economictimes.indiatimes.com/et-citings/managing-analytics/">http://blogs.economictimes.indiatimes.com/et-citings/managing-analytics/</a></p>
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		<a href="/blog/tags/machine-learning">
		<span itemprop="keywords">machine-learning</span>
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		<a href="/blog/tags/granular-data">
		<span itemprop="keywords">Granular data</span>
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		<a href="/blog/tags/big-data-1">
		<span itemprop="keywords">Big data</span>
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