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	<h1>Data Strategy : Offensive or Defensive?</h1>
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			<span class="post-date">Jun 02</span>

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				Posted by <a href="/forum/user/2271-sandeep-patel">Sandeep Patel</a>				in <a href="/resources/sigmaway-blog/analytics">Analytics</a>			</span>
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	<p>Organizations do the required amount of substitution between 'defensive' and 'offensive' uses of data and also between control and flexibility in its use. Defensive data is about minimizing downside risk. Activities include ensuring acceptance with regulations and using analytics to identify and uphold fraud. Defensive efforts are applied to ensure the integrity of data flowing through a company's internal systems. Data offense emphasizes on supporting business goals like increasing revenue, profitability, and customer satisfaction. It includes activities which produce customer insights &amp; market data to support managerial decision making. Each strategy has its own working infrastructure. Elements of data strategy  that should be taken into account are: Data definitions, Data ownership, data access, data assessment. Read more at: <a href="https://thefinancialbrand.com/65419/data-strategy-playing-offense-defense/" target="_blank">https://thefinancialbrand.com/65419/data-strategy-playing-offense-defense/</a></p>
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		<a href="/blog/tags/data-strategy">
		<span itemprop="keywords">data strategy</span>
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		<a href="/blog/tags/data-offense">
		<span itemprop="keywords">data offense</span>
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		<a href="/blog/tags/data-defense">
		<span itemprop="keywords">data defense</span>
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		<a href="/blog/tags/enabling-infrastructure">
		<span itemprop="keywords">enabling infrastructure</span>
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