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	<title>Analytics Archives - Travel Data Daily</title>
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	<description>For Travel Industry Loyalty Professionals</description>
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	<title>Analytics Archives - Travel Data Daily</title>
	<link>https://www.traveldatadaily.com/category/big-data/analytics/</link>
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		<title>Leadership Interview &#8211; Building Data Science Teams</title>
		<link>https://www.traveldatadaily.com/leadership-interview-jeremy-adamson-westjet/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sat, 14 Aug 2021 15:03:03 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Interviews]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[Jeremy Adamson]]></category>
		<category><![CDATA[Westjet]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2813</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/leadership-interview-jeremy-adamson-westjet/" title="Leadership Interview &#8211; Building Data Science Teams" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2021/08/mind-the-machines-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="Minding the Machines" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" /></a><p>I recently had the pleasure of speaking with Jeremy Adamson, who is the author of the recently launched publication, titled Minding the Machines &#8211; Building and Leading Data Science and Analytics Teams [Available on Amazon]. Jeremy has a strong background in building and leading big data and analytics, teams, and it&#8217;s no surprise that in [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/leadership-interview-jeremy-adamson-westjet/">Leadership Interview &#8211; Building Data Science Teams</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Leadership Interview:  Qatar Airways &#038; Mastercard on Monetizing Data</title>
		<link>https://www.traveldatadaily.com/leadership-interview-qatar-airways-mastercard-on-monetizing-data/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Thu, 28 May 2020 19:00:32 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[Interviews]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Christian Hylander]]></category>
		<category><![CDATA[Dianne Robillos]]></category>
		<category><![CDATA[Loyalty Data Co]]></category>
		<category><![CDATA[mastercard]]></category>
		<category><![CDATA[qatar airways]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2631</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/leadership-interview-qatar-airways-mastercard-on-monetizing-data/" title="Leadership Interview:  Qatar Airways &#038; Mastercard on Monetizing Data" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2020/07/qr-a350-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="Qatar Airways" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" /></a><p>Data monetization &#8212; the new loyalty buzzword?! Earlier this week I spoke with top industry experts on loyalty data monetization,  Christian Hylander from Mastercard and Dianne Robillos from Qatar Airways. Airlines and their Loyalty Programs are facing renewed pressure to be the heroes of the airline comeback story &#8212; and rightly so &#8212; airline elite [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/leadership-interview-qatar-airways-mastercard-on-monetizing-data/">Leadership Interview:  Qatar Airways &#038; Mastercard on Monetizing Data</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Should Airlines &#038; Hotels Extend Elite Status in Times of Crisis?</title>
		<link>https://www.traveldatadaily.com/airlines-hotels-extend-status-in-crisis/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Wed, 04 Mar 2020 10:01:19 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Hotel Loyalty Programs]]></category>
		<category><![CDATA[Hotels]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[cathay pacific]]></category>
		<category><![CDATA[COVID-19]]></category>
		<category><![CDATA[IHG]]></category>
		<category><![CDATA[Malaysia Airlines]]></category>
		<category><![CDATA[Marriott Bonvoy]]></category>
		<category><![CDATA[Shangri-La]]></category>
		<category><![CDATA[singapore airlines]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2414</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/airlines-hotels-extend-status-in-crisis/" title="Should Airlines &#038; Hotels Extend Elite Status in Times of Crisis?" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2020/03/cx_header_extend_status-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="Cathay Pacific Extend Elite Status" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Extend elite status or Not to extend elite status? That&#8217;s the million-dollar question circling around the travel loyalty industry lately. The unprecedented grounding of aircraft, significant decline in demand, and empty hotel rooms are forcing management to be creative and discover new ways to generate cash, stimulate demand, and in some cases &#8211; survive as [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/airlines-hotels-extend-status-in-crisis/">Should Airlines &#038; Hotels Extend Elite Status in Times of Crisis?</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Monetizing Data: How Much is Airline Loyalty Data Worth?</title>
		<link>https://www.traveldatadaily.com/monetizing-data-how-much-is-airline-loyalty-data-worth/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Thu, 14 Nov 2019 09:23:17 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2326</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/monetizing-data-how-much-is-airline-loyalty-data-worth/" title="Monetizing Data: How Much is Airline Loyalty Data Worth?" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2019/11/airline-loyalty-data-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="airline loyalty data" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Successful data-driven airlines typically attribute value of the airline loyalty data they collect within the loyalty program based on the commercial application of that data. That is to say &#8211; how much top-line revenue that data can generate versus what income could be generated without that data. That is why investors, financial analysts and board [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/monetizing-data-how-much-is-airline-loyalty-data-worth/">Monetizing Data: How Much is Airline Loyalty Data Worth?</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Creating a new airline loyalty status tier &#8211; [Part One]</title>
		<link>https://www.traveldatadaily.com/creating-a-new-airline-loyalty-status-tier-part-one/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Thu, 11 Jul 2019 08:38:29 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Customer Experience]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[american airlines]]></category>
		<category><![CDATA[finnair]]></category>
		<category><![CDATA[qantas]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2270</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/creating-a-new-airline-loyalty-status-tier-part-one/" title="Creating a new airline loyalty status tier &#8211; [Part One]" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2019/07/new-loyalty-card-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="new loyalty status tier card" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Creating a new loyalty status tier can make or break loyalty program economics. From both internal and public perception &#8211; new loyalty tiers are exciting! They ooze optimism and are a sign of strength for the loyalty program. In recent years seen a bunch of new airline loyalty tiers hit the market &#8211; including some [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/creating-a-new-airline-loyalty-status-tier-part-one/">Creating a new airline loyalty status tier &#8211; [Part One]</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Using Loyalty Game Mechanics to Increase Revenue Per Seat</title>
		<link>https://www.traveldatadaily.com/loyalty-game-mechanics-increase-revenue-per-seat/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Thu, 09 May 2019 22:11:02 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[air asia]]></category>
		<category><![CDATA[air asia big loyalty]]></category>
		<category><![CDATA[emirates]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2222</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/loyalty-game-mechanics-increase-revenue-per-seat/" title="Using Loyalty Game Mechanics to Increase Revenue Per Seat" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2019/05/loyalty-effect-hero-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="loyalty game mechanics" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Loyalty game mechanics can be a massive revenue driver for both airlines, and their frequent flyer programs. Getting to the advanced state of leveraging from loyalty game mechanics requires data collection, loyalty tracking, and booking integration. Frequent Flyer Tracking Metrics Do your frequent flyers go out of their way to spend more with the airline? [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/loyalty-game-mechanics-increase-revenue-per-seat/">Using Loyalty Game Mechanics to Increase Revenue Per Seat</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>How airline loyalty programs use big data to drive new revenue</title>
		<link>https://www.traveldatadaily.com/how-airlines-hotels-profit-from-your-data/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Thu, 27 Dec 2018 20:38:30 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[CRM]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Hotel Loyalty Programs]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2059</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/how-airlines-hotels-profit-from-your-data/" title="How airline loyalty programs use big data to drive new revenue" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2018/03/data-loyalty2-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>How airline loyalty programs use big data to drive new revenue The past few years have seen a wave of travel companies member accounts compromised which have rocked the industry. Cathay Pacific had 9.4M accounts compromised. British Airways had 380,000 card payments breached. Raddison hotels had up to 10% loyalty program accounts compromised. Hyatt twice [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/how-airlines-hotels-profit-from-your-data/">How airline loyalty programs use big data to drive new revenue</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Breakage vs Engagement:  The Financial Question for Loyalty Programs</title>
		<link>https://www.traveldatadaily.com/breakage-engagement-loyalty/</link>
		
		<dc:creator><![CDATA[David Feldman]]></dc:creator>
		<pubDate>Thu, 19 Oct 2017 13:34:19 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Interviews]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[Len Llaguno]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=2013</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/breakage-engagement-loyalty/" title="Breakage vs Engagement:  The Financial Question for Loyalty Programs" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2017/10/AAIA_wDGAAAAAQAAAAAAAAp8AAAAJGJkNjcyNGZmLWJjZmUtNGU3OS04ZDk5LTQ2NjFlOTY3OGYyOA-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Airline loyalty breakage is growing discussion point for many frequent flyer programs Len Llaguno &#8211; Founder and CEO of SnapShotML, firm providing a financial measurement for loyalty programs, about the challenges that loyalty programs face when trying to optimize the tradeoff between breakage and engagement. He has spent nearly ten years helping many of the [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/breakage-engagement-loyalty/">Breakage vs Engagement:  The Financial Question for Loyalty Programs</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/dfcatch/">David Feldman</a></p>
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		<title>Predicting Loyalty Churn &#8211; Cathay Pacific Marco Polo [Case Study]</title>
		<link>https://www.traveldatadaily.com/cathay-pacific-marco-polo-loyalty/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Mon, 03 Jul 2017 17:01:08 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Frequent Flyer Programs]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Loyalty Programs]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<category><![CDATA[cathay pacific]]></category>
		<category><![CDATA[marco polo]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1977</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/cathay-pacific-marco-polo-loyalty/" title="Predicting Loyalty Churn &#8211; Cathay Pacific Marco Polo [Case Study]" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2017/07/Marco-Polo-700x500-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Cathay Pacific Marco Polo loyalty program changes in 2015 could have cost the company over $1B in lost revenue Big data can now predict when a high-value frequent flyer is unhappy with an airline loyalty program and is at greatest risk of switching their business to another carrier, and loyalty program. Cathay Pacific Marco Polo [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/cathay-pacific-marco-polo-loyalty/">Predicting Loyalty Churn &#8211; Cathay Pacific Marco Polo [Case Study]</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Audience Fragmentation &#8211; Propensity &#038; Behavioural Scoring</title>
		<link>https://www.traveldatadaily.com/propensity-modeling-segmentation/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sun, 23 Apr 2017 19:50:41 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1916</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/propensity-modeling-segmentation/" title="Audience Fragmentation &#8211; Propensity &#038; Behavioural Scoring" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2017/04/propensity-scoring-traveldatadaily-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="Propensity Modelling - Travel Data Daily" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Audience Fragmentation, also known as behavioural scoring or propensity scoring, is a popular method of descriptive analytics which aims to calculate the likelihood of a user taking a particular action. In my first loyalty segmentation article, I wrote about how to segment frequent flyer loyalty members based on demographics, account profile data and status levels [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/propensity-modeling-segmentation/">Audience Fragmentation &#8211; Propensity &#038; Behavioural Scoring</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Stop Chasing Millennials.  Instead, use data to drive marketing</title>
		<link>https://www.traveldatadaily.com/stop-chasing-millennials-instead-use-data-to-drive-marketing/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Mon, 17 Apr 2017 15:29:23 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Insights]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[zoomdata]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1903</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/stop-chasing-millennials-instead-use-data-to-drive-marketing/" title="Stop Chasing Millennials.  Instead, use data to drive marketing" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2017/04/millennials-no-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Some companies continue to chase millennials. Instead, using data to drive marketing could have much more effective results while reducing costs. It is amazing how many large companies talk about how they are boosting their efforts to capture the attention of millennials. &#8220;We need to tap into the millennials&#8221; and &#8220;How can we improve our [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/stop-chasing-millennials-instead-use-data-to-drive-marketing/">Stop Chasing Millennials.  Instead, use data to drive marketing</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Airbnb &#038; Noise data: How the data handshake improves customer experience</title>
		<link>https://www.traveldatadaily.com/airbnb-noise-data/</link>
		
		<dc:creator><![CDATA[Ajay Kelkar]]></dc:creator>
		<pubDate>Sun, 19 Feb 2017 23:00:26 +0000</pubDate>
				<category><![CDATA[AirBNB]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Customer Experience]]></category>
		<category><![CDATA[airbnb]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1850</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/airbnb-noise-data/" title="Airbnb &#038; Noise data: How the data handshake improves customer experience" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2017/02/airbnb-creative-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>AirBnB &#38; Noise data: How the data handshake improves customer experience Data&#8217;s value increases when it&#8217;s shared, and you can make money by selling it. Sharing data allows marketers to better understand who their best customers are, which consumers they should market to, and with what specific offers. Nesta developed the concept of a &#8216;datavore&#8217; [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/airbnb-noise-data/">Airbnb &#038; Noise data: How the data handshake improves customer experience</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/ajay/">Ajay Kelkar</a></p>
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		<title>How do you set Return-on-Investment expectations for Analytics projects?</title>
		<link>https://www.traveldatadaily.com/return-on-investment-analytics/</link>
		
		<dc:creator><![CDATA[News]]></dc:creator>
		<pubDate>Sun, 08 Jan 2017 18:01:18 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<guid isPermaLink="false">https://www.traveldatadaily.com/?p=1694</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/return-on-investment-analytics/" title="How do you set Return-on-Investment expectations for Analytics projects?" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/12/AAEAAQAAAAAAAAgmAAAAJGEwMjM1ZWY3LThlNjgtNDQ1OC1iM2I1LTFlNDAwNzY1OWIxYg-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>How does a business set a realistic return on investment (ROI) expectation for analytics? This question often comes up from customers I talk to and companies I advise &#8211; from customers so they can build a realistic business case for investment, and from vendors so they can set prices for their offerings. Is there a [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/return-on-investment-analytics/">How do you set Return-on-Investment expectations for Analytics projects?</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/news/">News</a></p>
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		<title>How Big Data is Changing The Way We Fly</title>
		<link>https://www.traveldatadaily.com/how-big-data-is-changing-the-way-we-fly/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sun, 30 Oct 2016 15:23:56 +0000</pubDate>
				<category><![CDATA[Airlines]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[airlines]]></category>
		<category><![CDATA[big data]]></category>
		<guid isPermaLink="false">http://traveldatadaily.com/?p=217</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/how-big-data-is-changing-the-way-we-fly/" title="How Big Data is Changing The Way We Fly" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/10/42253240_m-150x150.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Airline big data, combined with predictive analytics is being used to drive up airline ticket prices. As airlines and their frequent flyer programs gather more intelligence on your day to day lifestyle, flying and financial position &#8211; they begin to build an airline big data profile. Consumer interests, goals, psychometric assessment, your motivations to engage [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/how-big-data-is-changing-the-way-we-fly/">How Big Data is Changing The Way We Fly</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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		<title>Hotel Big Data Start-up StayAngel Shuts Down &#8211; Hilton loses millions</title>
		<link>https://www.traveldatadaily.com/hotel-big-data-start-up-stayangel-closes-down/</link>
		
		<dc:creator><![CDATA[Mark Ross-Smith]]></dc:creator>
		<pubDate>Sun, 15 May 2016 02:53:49 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Hotels]]></category>
		<category><![CDATA[Revenue Management]]></category>
		<category><![CDATA[hilton]]></category>
		<category><![CDATA[start-up]]></category>
		<category><![CDATA[stayangel]]></category>
		<guid isPermaLink="false">http://traveldatadaily.com/?p=260</guid>

					<description><![CDATA[<a href="https://www.traveldatadaily.com/hotel-big-data-start-up-stayangel-closes-down/" title="Hotel Big Data Start-up StayAngel Shuts Down &#8211; Hilton loses millions" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2016/11/hilton-600-150x150.jpeg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>Recently, we learned that hotel big data start-up, StayAngel had closed its doors.  This is a piece written by the Founder, Mark Ross-Smith, on why they shut up shop. While ultimately it&#8217;s a series of events which lead to the downfall of any business, and I am under no illusions on other contributing factors which played [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/hotel-big-data-start-up-stayangel-closes-down/">Hotel Big Data Start-up StayAngel Shuts Down &#8211; Hilton loses millions</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/mark/">Mark Ross-Smith</a></p>
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