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	Comments on: Workforce data is a mess! What can you do about it?	</title>
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	<link>https://www.littalics.com/workforce-data-is-a-mess-what-can-you-do-about-it/</link>
	<description>People Analytics, HR Data Strategy, Organizational Research - Consultant, Mentor, Speaker, Influencer</description>
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		<title>
		By: Littal Shemer Haim		</title>
		<link>https://www.littalics.com/workforce-data-is-a-mess-what-can-you-do-about-it/#comment-217</link>

		<dc:creator><![CDATA[Littal Shemer Haim]]></dc:creator>
		<pubDate>Sat, 05 May 2018 15:55:46 +0000</pubDate>
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					<description><![CDATA[I agree that “the true power and impact of cloud HCM doesn’t emanate from the system. Ironically, it comes from the human element, when your people fully embrace new ways of doing things while adopting best practices and potentially new processes that go with them.” Source: http://zalaris.com/insights/blog/the-right-time-for-cloud-based-hcm/]]></description>
			<content:encoded><![CDATA[<p>I agree that “the true power and impact of cloud HCM doesn’t emanate from the system. Ironically, it comes from the human element, when your people fully embrace new ways of doing things while adopting best practices and potentially new processes that go with them.” Source: <a href="http://zalaris.com/insights/blog/the-right-time-for-cloud-based-hcm/" rel="nofollow ugc">http://zalaris.com/insights/blog/the-right-time-for-cloud-based-hcm/</a></p>
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		<title>
		By: Littal Shemer Haim		</title>
		<link>https://www.littalics.com/workforce-data-is-a-mess-what-can-you-do-about-it/#comment-216</link>

		<dc:creator><![CDATA[Littal Shemer Haim]]></dc:creator>
		<pubDate>Sat, 20 Jan 2018 11:23:40 +0000</pubDate>
		<guid isPermaLink="false">http://www.littalshemerhaim.com/?p=852#comment-216</guid>

					<description><![CDATA[&lt;a href=&quot;https://www.mckinsey.com/business-functions/operations/our-insights/seven-rules-for-spinning-analytics-straw-into-golden-results&quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer nofollow ugc&quot;&gt;Mckinsey reviews success factors in IoT-driven advanced analytics&lt;/a&gt; which are, in my opinion, applicable to the domain of People Analytics: 1: Start simple, with existing data, 2: Capture the right data, not just more data, 3: Don’t let the long-term perfect be the enemy of the short-term good, 4: Focus on outcomes, not technology, 5: Look for value across activities as well as within them, 6: Break out of the pilot trap, and think through the full end-to-end journey, 7: Build your capabilities and define talent strategy as new roles and new career paths emerge.
]]></description>
			<content:encoded><![CDATA[<p><a href="https://www.mckinsey.com/business-functions/operations/our-insights/seven-rules-for-spinning-analytics-straw-into-golden-results" target="_blank" rel="noopener noreferrer nofollow ugc">Mckinsey reviews success factors in IoT-driven advanced analytics</a> which are, in my opinion, applicable to the domain of People Analytics: 1: Start simple, with existing data, 2: Capture the right data, not just more data, 3: Don’t let the long-term perfect be the enemy of the short-term good, 4: Focus on outcomes, not technology, 5: Look for value across activities as well as within them, 6: Break out of the pilot trap, and think through the full end-to-end journey, 7: Build your capabilities and define talent strategy as new roles and new career paths emerge.</p>
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