/home/leansigm/public_html/components/com_easyblog/services<title>Big Data Challenges</title>
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	<h1>Big Data Challenges</h1>
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			<span class="post-date">Jul 09</span>

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				Posted by <a href="/forum/user/927-sumedha-kamboj">Sumedha Kamboj</a>				in <a href="/resources/sigmaway-blog/analytics">Analytics</a>			</span>
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	<p>Today, enterprises have come a long way dealing with the big data challenges. But there are more to go. Revisiting a few of them would help understand the task ahead. Timo Elliott, innovation Evangelist for SAP, in his blog Business Analytics talks extensively about the following 5 challenges:</p>
<p>• There’s still a lot of technology to learn</p>
<p>• The right people are still hard to find</p>
<p>• The right business case is key</p>
<p>• Integrating with existing systems is more important</p>
<p>• New business models are the next big opportunity</p>
<p>For an enriching account of each of them follow the link <a href="http://timoelliott.com/blog/2015/05/top-big-data-challenges-revisited.html" target="_blank">http://timoelliott.com/blog/2015/05/top-big-data-challenges-revisited.html</a></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/big-data-challanges">
		<span itemprop="keywords">Big Data Challanges</span>
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		<a href="/blog/tags/analytics">
		<span itemprop="keywords">analytics</span>
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		<a href="/blog/tags/predictive-analytics-1">
		<span itemprop="keywords">predictive analytics</span>
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