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	<title>Comments on: A startup asks, &#8216;What if you didn&#8217;t have to analyze data at all?&#8217;</title>
	<atom:link href="http://gigaom.com/2012/11/20/a-startup-asks-what-if-you-didnt-have-to-analyze-data-at-all/feed/" rel="self" type="application/rss+xml" />
	<link>http://gigaom.com/2012/11/20/a-startup-asks-what-if-you-didnt-have-to-analyze-data-at-all/</link>
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		<title>By: ippy01</title>
		<link>http://gigaom.com/2012/11/20/a-startup-asks-what-if-you-didnt-have-to-analyze-data-at-all/#comment-1301724</link>
		<dc:creator><![CDATA[ippy01]]></dc:creator>
		<pubDate>Mon, 21 Jan 2013 14:32:45 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=586406#comment-1301724</guid>
		<description><![CDATA[Cost?]]></description>
		<content:encoded><![CDATA[<p>Cost?</p>
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		<title>By: BeyondCore, Inc</title>
		<link>http://gigaom.com/2012/11/20/a-startup-asks-what-if-you-didnt-have-to-analyze-data-at-all/#comment-1211353</link>
		<dc:creator><![CDATA[BeyondCore, Inc]]></dc:creator>
		<pubDate>Mon, 26 Nov 2012 21:46:11 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=586406#comment-1211353</guid>
		<description><![CDATA[Thank you Derrick, Rebecca and others. Lucid primarily answers the What (What is happening, what should I pay attention to, what are my opportunities, what are my risks, etc.). Analysts still are crucial for answering the Why (Why is this happening) and the How (How can I take advantage of this opportunity or avoid this risk). Today, however, analysts spend 80% of their time on the What (analysis and report generation) even though the Why and the How are crucial drivers of business impact. By automating the What and providing detailed patterns that help with the Why and the How, Lucid makes analysts more effective. 

Derrick has nicely summarized what we do. We “reduce the need for humans to conjure up the right questions…” so they can dedicate less effort towards finding business drivers and more towards leveraging them. 

Manual exploration is the weak link that slows speed-to-insight and risks overlooking key insights. Lucid shifts the analyst from the middle of the analysis loop to the end. As long as the analyst is in the middle, even when the individual query is instantaneous, the speed of getting to insights is limited by human speed. In an hour, a human can only find dozens of patterns out of millions of places to look. In minutes, Lucid examines them all.]]></description>
		<content:encoded><![CDATA[<p>Thank you Derrick, Rebecca and others. Lucid primarily answers the What (What is happening, what should I pay attention to, what are my opportunities, what are my risks, etc.). Analysts still are crucial for answering the Why (Why is this happening) and the How (How can I take advantage of this opportunity or avoid this risk). Today, however, analysts spend 80% of their time on the What (analysis and report generation) even though the Why and the How are crucial drivers of business impact. By automating the What and providing detailed patterns that help with the Why and the How, Lucid makes analysts more effective. </p>
<p>Derrick has nicely summarized what we do. We “reduce the need for humans to conjure up the right questions…” so they can dedicate less effort towards finding business drivers and more towards leveraging them. </p>
<p>Manual exploration is the weak link that slows speed-to-insight and risks overlooking key insights. Lucid shifts the analyst from the middle of the analysis loop to the end. As long as the analyst is in the middle, even when the individual query is instantaneous, the speed of getting to insights is limited by human speed. In an hour, a human can only find dozens of patterns out of millions of places to look. In minutes, Lucid examines them all.</p>
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		<title>By: Derrick Harris</title>
		<link>http://gigaom.com/2012/11/20/a-startup-asks-what-if-you-didnt-have-to-analyze-data-at-all/#comment-1206754</link>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
		<pubDate>Sat, 24 Nov 2012 20:48:45 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=586406#comment-1206754</guid>
		<description><![CDATA[Thanks for the comment (same to everyone you cited, too). To your points, I don&#039;t think BeyondCore thinks it can, or wants to, replace humans, but to reduce the need for humans to conjure up the right questions when working with complex data sets where there are relationships we might never imagine or be able to discern. 

Although the company says it&#039;s not a machine learning company, this is the same premise used by those using ML to build models that into account take lots of variables. The ML algorithms first to the grunt work of finding patterns, then humans come in and drill down, prune or tweak the models, etc. 

We&#039;re going to see more products like Lucid on the market soon, by the way, so we&#039;ll see how good they are in mass usage and how they really do affect job descriptions, insight discovery, etc.]]></description>
		<content:encoded><![CDATA[<p>Thanks for the comment (same to everyone you cited, too). To your points, I don&#8217;t think BeyondCore thinks it can, or wants to, replace humans, but to reduce the need for humans to conjure up the right questions when working with complex data sets where there are relationships we might never imagine or be able to discern. </p>
<p>Although the company says it&#8217;s not a machine learning company, this is the same premise used by those using ML to build models that into account take lots of variables. The ML algorithms first to the grunt work of finding patterns, then humans come in and drill down, prune or tweak the models, etc. </p>
<p>We&#8217;re going to see more products like Lucid on the market soon, by the way, so we&#8217;ll see how good they are in mass usage and how they really do affect job descriptions, insight discovery, etc.</p>
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		<title>By: rebeccalynnphelps</title>
		<link>http://gigaom.com/2012/11/20/a-startup-asks-what-if-you-didnt-have-to-analyze-data-at-all/#comment-1206652</link>
		<dc:creator><![CDATA[rebeccalynnphelps]]></dc:creator>
		<pubDate>Sat, 24 Nov 2012 19:31:16 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=586406#comment-1206652</guid>
		<description><![CDATA[I agree with Kristoffer to a point, but while beefing up the personal element in delivering the data may be a nice improvement, I believe that it will likely be a marginal one in determing whether Lucid truly takes off.

First, it is unlikely that companies will entirely wipe out their analytic or IT departments and replace them with Lucid.  As BI User points out, the more likely scenario is that Lucid will allow company analysts to work more efficiently toward applying the analyzed data. Thus, although the “story telling” aspect of the delivery is still important, it will not be the life or death of the product because there will probably be an actual human presenting the data to the decision makers of the company.
 
Second, the downslump in the economy right now will work to BeyondCore’s advantage.  If there were ever a time when companies might be willing to take a chance on a computerized model that would help them cut costs on human labor, now is that time. They will likely make the choice on whether to adopt Lucid by looking at the benefits it delivers and the costs it could save; this choice would not likely be changed just because the data could potentially be delivered with a softer, more human flare.]]></description>
		<content:encoded><![CDATA[<p>I agree with Kristoffer to a point, but while beefing up the personal element in delivering the data may be a nice improvement, I believe that it will likely be a marginal one in determing whether Lucid truly takes off.</p>
<p>First, it is unlikely that companies will entirely wipe out their analytic or IT departments and replace them with Lucid.  As BI User points out, the more likely scenario is that Lucid will allow company analysts to work more efficiently toward applying the analyzed data. Thus, although the “story telling” aspect of the delivery is still important, it will not be the life or death of the product because there will probably be an actual human presenting the data to the decision makers of the company.</p>
<p>Second, the downslump in the economy right now will work to BeyondCore’s advantage.  If there were ever a time when companies might be willing to take a chance on a computerized model that would help them cut costs on human labor, now is that time. They will likely make the choice on whether to adopt Lucid by looking at the benefits it delivers and the costs it could save; this choice would not likely be changed just because the data could potentially be delivered with a softer, more human flare.</p>
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		<title>By: Kristoffer Lawson</title>
		<link>http://gigaom.com/2012/11/20/a-startup-asks-what-if-you-didnt-have-to-analyze-data-at-all/#comment-1201581</link>
		<dc:creator><![CDATA[Kristoffer Lawson]]></dc:creator>
		<pubDate>Thu, 22 Nov 2012 20:54:02 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=586406#comment-1201581</guid>
		<description><![CDATA[Their product sounds like its 2 fold, how people consume data, and what data they are consuming. For a product centered around how people consume data, the user experience looks like it was developed by a bunch of mathematicians. If their website or demo videos are indicators, they need to work on the delivery of their &#039;storytelling&#039; along with their one click analytics tool. They have to nail both if they want to replace actual human beings.]]></description>
		<content:encoded><![CDATA[<p>Their product sounds like its 2 fold, how people consume data, and what data they are consuming. For a product centered around how people consume data, the user experience looks like it was developed by a bunch of mathematicians. If their website or demo videos are indicators, they need to work on the delivery of their &#8216;storytelling&#8217; along with their one click analytics tool. They have to nail both if they want to replace actual human beings.</p>
]]></content:encoded>
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		<title>By: mark hahn</title>
		<link>http://gigaom.com/2012/11/20/a-startup-asks-what-if-you-didnt-have-to-analyze-data-at-all/#comment-1196468</link>
		<dc:creator><![CDATA[mark hahn]]></dc:creator>
		<pubDate>Wed, 21 Nov 2012 04:27:44 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=586406#comment-1196468</guid>
		<description><![CDATA[sounds a bit like we should ask a one-word question: Bonferroni?]]></description>
		<content:encoded><![CDATA[<p>sounds a bit like we should ask a one-word question: Bonferroni?</p>
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		<title>By: BI User</title>
		<link>http://gigaom.com/2012/11/20/a-startup-asks-what-if-you-didnt-have-to-analyze-data-at-all/#comment-1196090</link>
		<dc:creator><![CDATA[BI User]]></dc:creator>
		<pubDate>Tue, 20 Nov 2012 23:59:10 +0000</pubDate>
		<guid isPermaLink="false">http://gigaom.com/?p=586406#comment-1196090</guid>
		<description><![CDATA[Great article. BI only delivers impact when business users can act on it. It seems this product makes BI accessible to untrained business users. This is the direction we need to go as an industry. I don&#039;t think this will eliminate the need for analysts though. But now the analysts can focus on the consulting aspects of their &#039;job descriptions&#039; rather than the Statistics jockey part.]]></description>
		<content:encoded><![CDATA[<p>Great article. BI only delivers impact when business users can act on it. It seems this product makes BI accessible to untrained business users. This is the direction we need to go as an industry. I don&#8217;t think this will eliminate the need for analysts though. But now the analysts can focus on the consulting aspects of their &#8216;job descriptions&#8217; rather than the Statistics jockey part.</p>
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