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	<h1>Steps for better utilization of data</h1>
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			<span class="post-date">Aug 17</span>

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				Posted by <a href="/forum/user/2460-ranajoy-dutta">Ranajoy Dutta</a>				in <a href="/blog/categories/technology">Technology</a>			</span>
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	<p>It’s really fascinating to see how we are generating an incredible amount of data every minute. Plenty of blogs and articles have been written stating that the better utilization of this data may result in more profit generation for the organization. So here are some tips to begin with the path of better utilization.</p>
<p>Currently what most of the organizations see is they are Creating data, and they want to generate some additional revenue from it, but they miss how to link these two aspects.&nbsp;</p>
<p>To begin with, they must consider to use the <a href="/our-services/analytics.html" target="_blank" rel="noopener noreferrer">Big Data</a> Engines like Hadoop, Google Bigdata, Horton Works, MongoDB or anything similar. They help to find the patterns and correlations between different types of data.</p>
<p>Next is Data Warehousing. Data warehousing is not just maintaining a database. It has many advantages over the traditional databases.&nbsp;</p>
<p>And another important step is Data Visualization. From the above two steps we have the data properly managed and organized. In this step we visualize the data in a productive manner.</p>
<p>Read More at <a href="https://www.informationweek.com/big-data/real-world-tools-to-help-navigate-a-data-driven-world/a/d-id/1332377" target="_blank" rel="noopener noreferrer">https://www.informationweek.com/big-data/real-world-tools-to-help-navigate-a-data-driven-world/a/d-id/1332377?</a></p>
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		<a href="/blog/tags/mongodb">
		<span itemprop="keywords">mongoDB</span>
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		<a href="/blog/tags/hortonworks">
		<span itemprop="keywords">Hortonworks</span>
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		<a href="/blog/tags/hadoop">
		<span itemprop="keywords">Hadoop</span>
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		<a href="/blog/tags/data-utilization">
		<span itemprop="keywords">Data utilization</span>
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		<a href="/blog/tags/big-data-1-2">
		<span itemprop="keywords">Big Data</span>
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