/home/leansigm/public_html/components/com_easyblog/services<title>Storage capacity prediction by analytics</title>
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	<h1>Storage capacity prediction by analytics</h1>
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			<span class="post-date">May 18</span>

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				Posted by <a href="/forum/user/1075-joy-saha">JOY SAHA</a>				in <a href="/resources/sigmaway-blog/analytics">Analytics</a>			</span>
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	<p>One of the major difficulties for organizations is the accumulation of data. &nbsp;According to a research, it was found that only 1% of all apps use prescriptive analytics. This number is set to rise by 2018 to 50%. Organizations need to have high quality, rich insights into their data usage and is important for forecasting, tracking physical and performance capacity. This is where predictive analytics plays an important part; allow real time feedback, provide advantage of tools for capacity and performance planning, lower the cost of ownership, and improve the quality of support services. For more read the article written by Tim Jones (Technical Specialist) :&nbsp;<a style="font-size: 12.16px; line-height: 1.3em;" href="http://www.mis-asia.com/blogs/blogs/predicting-your-storage-capacity-with-analytics/" target="_blank">http://www.mis-asia.com/blogs/blogs/predicting-your-storage-capacity-with-analytics/</a></p>
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		<a href="/blog/tags/predictive-analytics-1">
		<span itemprop="keywords">predictive analytics</span>
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		<a href="/blog/tags/storing-data">
		<span itemprop="keywords">storing data</span>
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		<a href="/blog/tags/real-time-feedback">
		<span itemprop="keywords">real time feedback</span>
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		<a href="/blog/tags/data-usage">
		<span itemprop="keywords">data usage</span>
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