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my<00:00:11.580><c> name</c><00:00:11.730><c> is</c><00:00:11.849><c> Catherine</c><00:00:12.450><c> a</c><00:00:12.690><c> Hearn</c><00:00:13.139><c> and</c><00:00:13.500><c> I</c>

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my name is Catherine a Hearn and I
 

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my name is Catherine a Hearn and I
managed<00:00:14.580><c> the</c><00:00:14.759><c> visualization</c><00:00:15.540><c> and</c><00:00:15.660><c> analytics</c>

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managed the visualization and analytics
 

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managed the visualization and analytics
Department<00:00:16.410><c> at</c><00:00:16.920><c> clear</c><00:00:17.310><c> story</c><00:00:17.670><c> data</c><00:00:24.050><c> there</c><00:00:25.050><c> are</c>

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Department at clear story data there are
 

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Department at clear story data there are
two<00:00:25.320><c> things</c><00:00:25.699><c> one</c><00:00:26.699><c> is</c><00:00:26.730><c> it</c><00:00:27.359><c> gave</c><00:00:27.630><c> me</c><00:00:27.779><c> a</c><00:00:27.810><c> deadline</c>

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two things one is it gave me a deadline
 

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two things one is it gave me a deadline
to<00:00:28.380><c> accomplish</c><00:00:29.010><c> some</c><00:00:29.340><c> things</c><00:00:29.369><c> that</c><00:00:29.760><c> I</c>

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to accomplish some things that I
 

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to accomplish some things that I
promised<00:00:30.359><c> for</c><00:00:30.599><c> the</c><00:00:30.689><c> talk</c><00:00:31.040><c> which</c><00:00:32.040><c> was</c><00:00:32.399><c> very</c>

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promised for the talk which was very
 

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promised for the talk which was very
helpful<00:00:32.759><c> for</c><00:00:32.940><c> me</c><00:00:33.120><c> professionally</c><00:00:33.420><c> and</c><00:00:34.110><c> the</c>

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helpful for me professionally and the
 

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helpful for me professionally and the
other<00:00:35.040><c> is</c><00:00:35.190><c> that</c><00:00:35.489><c> I</c><00:00:35.700><c> came</c><00:00:36.420><c> early</c><00:00:36.750><c> and</c><00:00:36.930><c> I'm</c>

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other is that I came early and I'm
 

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other is that I came early and I'm
getting<00:00:37.890><c> to</c><00:00:38.100><c> hear</c><00:00:38.489><c> some</c><00:00:39.059><c> real</c><00:00:39.600><c> industry</c>

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getting to hear some real industry
 

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getting to hear some real industry
leaders<00:00:40.440><c> just</c><00:00:40.829><c> amazing</c><00:00:41.520><c> talks</c><00:00:41.790><c> particularly</c>

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leaders just amazing talks particularly
 

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leaders just amazing talks particularly
on<00:00:42.690><c> machine</c><00:00:43.020><c> learning</c><00:00:43.640><c> and</c><00:00:44.640><c> I've</c><00:00:45.420><c> been</c>

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on machine learning and I've been
 

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on machine learning and I've been
interested<00:00:46.800><c> in</c><00:00:46.890><c> predictive</c><00:00:47.370><c> analytics</c><00:00:47.789><c> and</c>

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interested in predictive analytics and
 

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interested in predictive analytics and
UX<00:00:48.180><c> on</c><00:00:48.480><c> large</c><00:00:48.899><c> data</c><00:00:49.170><c> sets</c><00:00:49.379><c> for</c><00:00:49.620><c> a</c><00:00:49.649><c> while</c><00:00:49.860><c> so</c>

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UX on large data sets for a while so
 

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UX on large data sets for a while so
seeing<00:00:51.360><c> both</c><00:00:51.989><c> how</c><00:00:52.170><c> young</c><00:00:52.469><c> the</c><00:00:52.680><c> industry</c><00:00:53.100><c> is</c><00:00:53.280><c> is</c>

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seeing both how young the industry is is
 

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seeing both how young the industry is is
very<00:00:54.469><c> validating</c><00:00:55.469><c> because</c><00:00:56.100><c> when</c><00:00:57.059><c> clear</c><00:00:57.600><c> story</c>

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very validating because when clear story
 

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very validating because when clear story
handles<00:00:58.649><c> some</c><00:00:58.920><c> very</c><00:00:59.910><c> challenging</c><00:01:00.539><c> projects</c>

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handles some very challenging projects
 

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handles some very challenging projects
you<00:01:01.649><c> sort</c><00:01:02.190><c> of</c><00:01:03.769><c> sometimes</c><00:01:04.769><c> I</c><00:01:04.920><c> feel</c><00:01:05.159><c> like</c><00:01:05.189><c> it</c><00:01:05.519><c> the</c>

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you sort of sometimes I feel like it the
 

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you sort of sometimes I feel like it the
answer<00:01:06.090><c> should</c><00:01:06.119><c> be</c><00:01:06.330><c> obvious</c><00:01:06.450><c> but</c><00:01:07.049><c> it's</c>

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answer should be obvious but it's
 

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answer should be obvious but it's
actually<00:01:07.470><c> a</c><00:01:07.799><c> pretty</c><00:01:08.010><c> young</c><00:01:08.220><c> industry</c><00:01:08.729><c> so</c>

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actually a pretty young industry so
 

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actually a pretty young industry so
we're<00:01:09.840><c> all</c><00:01:10.520><c> working</c><00:01:11.520><c> on</c><00:01:11.850><c> pretty</c><00:01:12.720><c> new</c>

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we're all working on pretty new
 

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we're all working on pretty new
technologies<00:01:13.950><c> and</c><00:01:13.979><c> using</c><00:01:14.430><c> new</c><00:01:14.549><c> metaphors</c>

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technologies and using new metaphors
 

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technologies and using new metaphors
using<00:01:15.450><c> new</c><00:01:15.570><c> techniques</c>

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I've<00:01:25.220><c> always</c><00:01:25.520><c> thought</c><00:01:25.880><c> data</c><00:01:26.120><c> was</c><00:01:26.330><c> cool</c><00:01:26.510><c> and</c>

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I've always thought data was cool and
 

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I've always thought data was cool and
exciting<00:01:27.430><c> um</c><00:01:29.500><c> you</c><00:01:30.500><c> know</c><00:01:30.620><c> when</c><00:01:30.770><c> I</c><00:01:30.800><c> started</c><00:01:31.100><c> grad</c>

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exciting um you know when I started grad
 

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exciting um you know when I started grad
school<00:01:32.740><c> we</c><00:01:33.740><c> were</c><00:01:33.860><c> talking</c><00:01:34.220><c> about</c><00:01:34.280><c> the</c><00:01:34.520><c> data</c>

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school we were talking about the data
 

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school we were talking about the data
explosion<00:01:35.210><c> and</c><00:01:35.840><c> I</c><00:01:36.410><c> was</c><00:01:36.890><c> in</c><00:01:36.980><c> 2004</c><00:01:37.700><c> and</c><00:01:37.910><c> it</c><00:01:38.060><c> was</c>

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explosion and I was in 2004 and it was
 

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explosion and I was in 2004 and it was
amazing<00:01:38.330><c> that</c><00:01:38.960><c> you</c><00:01:39.050><c> could</c><00:01:39.200><c> have</c><00:01:39.290><c> terabytes</c><00:01:39.980><c> of</c>

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amazing that you could have terabytes of
 

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amazing that you could have terabytes of
data<00:01:40.460><c> that's</c><00:01:40.640><c> just</c><00:01:41.440><c> psychotically</c><00:01:42.440><c> large</c><00:01:42.860><c> was</c>

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data that's just psychotically large was
 

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data that's just psychotically large was
like<00:01:43.430><c> more</c><00:01:43.700><c> than</c><00:01:43.940><c> in</c><00:01:44.120><c> history</c><00:01:44.960><c> and</c><00:01:45.110><c> there</c><00:01:45.230><c> was</c>

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like more than in history and there was
 

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like more than in history and there was
this<00:01:45.470><c> hockey</c><00:01:46.340><c> stick</c><00:01:46.900><c> curve</c><00:01:47.900><c> to</c><00:01:48.430><c> just</c><00:01:49.430><c> sheer</c>

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this hockey stick curve to just sheer
 

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this hockey stick curve to just sheer
quantity<00:01:50.619><c> and</c><00:01:51.619><c> now</c><00:01:52.040><c> my</c><00:01:53.140><c> my</c><00:01:54.140><c> own</c><00:01:54.369><c> dad</c><00:01:55.369><c> is</c>

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quantity and now my my own dad is
 

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quantity and now my my own dad is
talking<00:01:56.479><c> about</c><00:01:56.750><c> needing</c><00:01:57.229><c> a</c><00:01:57.320><c> bigger</c><00:01:57.530><c> computer</c>

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talking about needing a bigger computer
 

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talking about needing a bigger computer
because<00:01:58.520><c> he</c><00:01:59.210><c> needs</c><00:01:59.420><c> a</c><00:01:59.540><c> terabyte</c><00:02:00.020><c> to</c><00:02:00.290><c> store</c><00:02:00.710><c> his</c>

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because he needs a terabyte to store his
 

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because he needs a terabyte to store his
vacation<00:02:01.490><c> photos</c><00:02:01.850><c> just</c><00:02:02.800><c> the</c><00:02:03.800><c> the</c><00:02:04.160><c> scale</c><00:02:04.460><c> is</c>

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vacation photos just the the scale is
 

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vacation photos just the the scale is
really<00:02:05.119><c> I</c><00:02:06.910><c> didn't</c><00:02:07.910><c> think</c><00:02:08.060><c> it</c><00:02:08.300><c> would</c><00:02:08.750><c> get</c>

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really I didn't think it would get
 

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really I didn't think it would get
bigger<00:02:09.709><c> but</c><00:02:10.160><c> it</c><00:02:10.540><c> has</c><00:02:11.830><c> by</c><00:02:13.209><c> many</c><00:02:15.220><c> many</c><00:02:16.220><c> multiples</c>

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I<00:02:19.800><c> know</c><00:02:20.400><c> it's</c><00:02:21.240><c> yeah</c><00:02:21.930><c> I</c><00:02:22.350><c> mean</c><00:02:22.710><c> there</c><00:02:23.400><c> was</c><00:02:23.520><c> the</c>

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I know it's yeah I mean there was the
 

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I know it's yeah I mean there was the
perception<00:02:23.910><c> that</c><00:02:24.120><c> things</c><00:02:24.450><c> couldn't</c><00:02:24.750><c> get</c>

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perception that things couldn't get
 

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perception that things couldn't get
faster<00:02:25.590><c> that</c><00:02:25.830><c> there</c><00:02:25.950><c> was</c><00:02:26.040><c> gonna</c><00:02:26.100><c> be</c><00:02:26.220><c> some</c><00:02:26.340><c> sort</c>

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faster that there was gonna be some sort
 

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faster that there was gonna be some sort
of<00:02:26.730><c> plateau</c><00:02:27.090><c> but</c><00:02:27.480><c> that</c><00:02:27.630><c> was</c><00:02:27.750><c> a</c><00:02:27.780><c> decade</c><00:02:28.200><c> ago</c><00:02:28.260><c> you</c>

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of plateau but that was a decade ago you
 

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of plateau but that was a decade ago you
know<00:02:28.860><c> 15</c><00:02:29.130><c> years</c><00:02:29.430><c> ago</c>

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pay<00:02:48.560><c> attention</c><00:02:49.060><c> to</c><00:02:51.580><c> user</c><00:02:53.110><c> intention</c><00:02:54.110><c> clarity</c>

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pay attention to user intention clarity
 

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pay attention to user intention clarity
of<00:02:54.830><c> communication</c><00:02:56.440><c> availability</c><00:02:57.440><c> of</c>

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of communication availability of
 

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of communication availability of
workflows<00:02:58.400><c> and</c><00:02:59.080><c> whether</c><00:03:00.370><c> that</c><00:03:01.370><c> will</c><00:03:01.840><c> yield</c>

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workflows and whether that will yield
 

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workflows and whether that will yield
correct<00:03:03.500><c> analytics</c><00:03:04.040><c> results</c><00:03:05.320><c> because</c>

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correct analytics results because
 

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correct analytics results because
they're<00:03:06.560><c> there</c><00:03:06.860><c> ways</c><00:03:07.100><c> to</c><00:03:07.280><c> mislead</c><00:03:07.810><c> people</c>

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they're there ways to mislead people
 

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they're there ways to mislead people
that<00:03:11.570><c> can</c><00:03:11.990><c> be</c><00:03:12.200><c> subtle</c><00:03:13.070><c> and</c><00:03:15.040><c> but</c><00:03:16.040><c> true</c><00:03:16.400><c> so</c><00:03:17.950><c> ways</c>

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that can be subtle and but true so ways
 

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that can be subtle and but true so ways
to<00:03:19.250><c> sort</c><00:03:19.610><c> of</c><00:03:19.900><c> bring</c><00:03:20.900><c> in</c><00:03:21.050><c> tension</c><00:03:21.350><c> ality</c><00:03:21.680><c> to</c>

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to sort of bring in tension ality to
 

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to sort of bring in tension ality to
user<00:03:22.130><c> selection</c><00:03:22.520><c> of</c><00:03:22.760><c> data</c><00:03:23.380><c> I'm</c><00:03:24.610><c> speaking</c>

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user selection of data I'm speaking
 

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user selection of data I'm speaking
specifically<00:03:26.060><c> of</c><00:03:26.150><c> aggregation</c><00:03:26.720><c> levels</c><00:03:27.050><c> of</c>

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specifically of aggregation levels of
 

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specifically of aggregation levels of
aggregation<00:03:27.620><c> and</c><00:03:27.710><c> granularity</c><00:03:28.130><c> and</c><00:03:28.870><c> so</c><00:03:29.870><c> ways</c>

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aggregation and granularity and so ways
 

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aggregation and granularity and so ways
of<00:03:30.350><c> bringing</c><00:03:30.920><c> user</c><00:03:31.280><c> attention</c><00:03:31.820><c> to</c><00:03:31.940><c> that</c><00:03:32.090><c> but</c>

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of bringing user attention to that but
 

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of bringing user attention to that but
not<00:03:33.490><c> overwhelming</c><00:03:34.490><c> a</c><00:03:34.580><c> user</c><00:03:34.790><c> with</c><00:03:35.860><c> workflows</c>

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not overwhelming a user with workflows
 

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not overwhelming a user with workflows
or<00:03:37.540><c> selection</c><00:03:38.540><c> opportunities</c><00:03:39.170><c> that</c><00:03:39.500><c> are</c>

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or selection opportunities that are
 

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or selection opportunities that are
irrelevant<00:03:40.420><c> because</c><00:03:41.420><c> that</c><00:03:41.690><c> is</c><00:03:41.870><c> a</c><00:03:41.900><c> tough</c>

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irrelevant because that is a tough
 

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irrelevant because that is a tough
balance<00:03:42.980><c> in</c><00:03:43.520><c> developing</c><00:03:44.240><c> a</c><00:03:44.420><c> analytics</c>

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balance in developing a analytics
 

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balance in developing a analytics
product

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uh<00:03:53.550><c> well</c><00:03:54.550><c> I</c><00:03:55.200><c> you</c><00:03:56.200><c> should</c><00:03:56.260><c> learn</c><00:03:57.040><c> d</c><00:03:57.700><c> 3</c><00:03:58.270><c> and</c><00:03:58.750><c> then</c>

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uh well I you should learn d 3 and then
 

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uh well I you should learn d 3 and then
come<00:03:59.830><c> work</c><00:04:00.040><c> at</c><00:04:00.220><c> clear</c><00:04:00.640><c> story</c><00:04:00.970><c> if</c><00:04:01.360><c> you</c><00:04:01.780><c> want</c><00:04:01.990><c> to</c>

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come work at clear story if you want to
 

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come work at clear story if you want to
become<00:04:02.200><c> great</c><00:04:02.550><c> if</c><00:04:03.550><c> you</c><00:04:04.060><c> want</c><00:04:04.240><c> to</c><00:04:04.330><c> become</c><00:04:04.480><c> good</c>

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become great if you want to become good
 

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become great if you want to become good
enough<00:04:05.140><c> you</c><00:04:06.040><c> can</c><00:04:06.480><c> um</c><00:04:09.180><c> work</c><00:04:10.180><c> for</c><00:04:10.360><c> other</c>

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enough you can um work for other
 

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enough you can um work for other
companies