/home/leansigm/public_html/components/com_easyblog/services<title>Steps to apply big data analytics in your organization</title>
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	<h1>Steps to apply big data analytics in your organization</h1>
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			<span class="post-date">Apr 24</span>

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				Posted by <a href="/forum/user/894-nishu-soni">Nishu Soni</a>				in <a href="/resources/sigmaway-blog/analytics">Analytics</a>			</span>
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	<p class="MsoNormal" style="margin-bottom: 12pt;"><span style="font-size: 10pt;">According to Sujan Patel (Contributor), companies before analyzing big data, must understand the company's goals and mission. In a survey by Price Waterhouse Cooper, only 44% of companies feel that they have the right talent to capitalize big data. When any company chooses tool for data analytics, focus should be on team needs and solution and the team must know how to use that tool. Read more at: <a href="http://www.forbes.com/sites/sujanpatel/2015/04/22/how-fortune-500-companies-are-building-big-data-teams-and-how-startups-can-too/" target="_blank">http://www.forbes.com/sites/sujanpatel/2015/04/22/how-fortune-500-companies-are-building-big-data-teams-and-how-startups-can-too/</a></span></p></div>

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		<a href="/blog/tags/big-data-1-2">
		<span itemprop="keywords">Big Data</span>
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		<a href="/blog/tags/analytics">
		<span itemprop="keywords">analytics</span>
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