/home/leansigm/public_html/components/com_easyblog/services<title>The Next Level in BI: Predictive analytics</title>
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	<h1>The Next Level in BI: Predictive analytics</h1>
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			<span class="post-date">Sep 25</span>

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				Posted by <a href="/forum/user/431-nitin-sinha">Nitin Sinha</a>				in <a href="/resources/sigmaway-blog/analytics">Analytics</a>			</span>
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	<p class="MsoNormal">According to Jayakanthan Chidambaram (Associate Technical Architect, Aspire Systems), sustaining in the market with a persistent growth is considered to be one of the greatest challenges in any industry. Companies are focusing their investments on business intelligence technologies in order to predict behavior and consequences from patterns found in large volumes of data. Predictive analytics transforms data into important and useful information. Data analysis can be broadly categorized into 4 types - Descriptive, Simple Statistical Summations, Prescriptive and Predictive. Personalization based on location, behavior and preferences are driving how organizations should cater to customer needs and grow their business. When organizations adopted Business Intelligence, they took the first step towards understanding what is currently happening in their business. Now is the time to take that maturity to the next level where the need is not only to know what is happening but also be able to predict what is about to happen. Read more at: <a href="http://www.informationweek.in/informationweek/perspective/298003/predictive-analytics-future-business-intelligence?utm_source=referrence_article" target="_blank">http://www.informationweek.in/informationweek/perspective/298003/predictive-analytics-future-business-intelligence?utm_source=referrence_article</a></p></div>

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		<a href="/blog/tags/data-analysis">
		<span itemprop="keywords">data analysis</span>
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		<a href="/blog/tags/business-intelligence-technologies">
		<span itemprop="keywords">Business intelligence technologies</span>
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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/customer-needs">
		<span itemprop="keywords">customer needs</span>
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		<a href="/blog/tags/market-growth">
		<span itemprop="keywords">market growth</span>
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