<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Daniel Antal, CFA | Antal Dániel honlapja</title><link>https://danielantal.eu/hu/author/daniel-antal-cfa/</link><atom:link href="https://danielantal.eu/hu/author/daniel-antal-cfa/index.xml" rel="self" type="application/rss+xml"/><description>Daniel Antal, CFA</description><generator>Wowchemy (https://wowchemy.com)</generator><language>hu</language><lastBuildDate>Thu, 14 Oct 2021 11:00:00 +0000</lastBuildDate><image><url>https://danielantal.eu/media/icon_hub9491570ac57158c0eeecc95c95b13e5_20247_512x512_fill_lanczos_center_3.png</url><title>Daniel Antal, CFA</title><link>https://danielantal.eu/hu/author/daniel-antal-cfa/</link></image><item><title>Digital Music Observatory on the MaMA Convention 2021, Paris, FR</title><link>https://danielantal.eu/hu/event/2021_10_15_mama/</link><pubDate>Thu, 14 Oct 2021 11:00:00 +0000</pubDate><guid>https://danielantal.eu/hu/event/2021_10_15_mama/</guid><description>&lt;p>Currently more than half of the global music sales are made by autonomous AI systems owned by Google, Apple, or Spotify. These data monopolies are getting rich, because they reap the profit from music businesses with an average employee count of 1.8 Europe. European music businesses are easy to exploit with armies of data engineers and data scientists because they do not have a single data scientist or even an IT function.&lt;/p>
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&lt;p>Artists in the UK had a difficulty explaining in Westminster how they are losing out in streaming– so we have created a streaming price index, like the Dow Jones, if you like, that explains the economic factors of the devaluation of music in the last 5 years in 20 countries. (See &lt;a href="https://music.dataobservatory.eu/publication/mce_empirical_streaming_2021/" target="_blank" rel="noopener">our report&lt;/a>.)&lt;/p>
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&lt;p>Music organizations in Slovakia and Hungary were frustrated that their politicians and journalists believed music to be taxpayer funded, so we showed with data that they contribute more proportionally to the national budget than car manufacturers, the darling of local politicians (See our reports in &lt;a href="https://music.dataobservatory.eu/publication/hungary_music_industry_2014/" target="_blank" rel="noopener">Hungary&lt;/a> (recast several times) and in &lt;a href="https://music.dataobservatory.eu/publication/slovak_music_industry_2019/" target="_blank" rel="noopener">Slovakia&lt;/a>.)&lt;/p>
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&lt;p>We successfully challenged with data restaurant associations, hotel chains, telecom corporations and broadcasters who wanted to bring music prices down in court and via lobbying.&lt;/p>
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&lt;p>The music industry has envied the television and film industry which has a single go-to-point for data when it needs them, the European Audiovisual Observatory. It started lobbying for a publicly financed music observatory. But we did not wait. The music industry has a tragic track record of failed centralized international data projects. We built Reprex out of a 12-country, decentralized music project. We learned how to utilize hidden, but already existing data and research funds well, and how to manage the data governance among the poisonous conflicts of interests between rich and poor countries, authors vs producers, producer’s vs performers.&lt;/p>
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&lt;p>Our &lt;a href="https://music.dataobservatory.eu/" target="_blank" rel="noopener">Digital Music Observatory&lt;/a> is not theoretical, it is practical, because it is built around real-life court cases, damage claims, lobbying and PR arguments.&lt;/p>
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&lt;p>Our Digital Music Observatory is comprehensive – it contains more than a thousand indicators from all European countries. We have enough data to test the biases of the Spotify or the YouTube algorithm – you would be surprised what the data tells us.&lt;/p>
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&lt;p>It has data available much sooner, in much higher quality and in a more practical format than in the Audiovisual one.&lt;/p>
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&lt;h2 id="presentation-slides">Presentation Slides&lt;/h2>
&lt;p>You can see the presentation slides &lt;a href="https://reprex.nl/slides/mama_2021/#/" target="_blank" rel="noopener">here&lt;/a>.&lt;/p></description></item><item><title>Reprex introduction in IVIR, Amsterdam, NL</title><link>https://danielantal.eu/hu/event/2021_04_09_ivirtual/</link><pubDate>Tue, 02 Feb 2021 10:10:00 +0000</pubDate><guid>https://danielantal.eu/hu/event/2021_04_09_ivirtual/</guid><description>&lt;p>IViRtual 9 April 2021&lt;/p></description></item><item><title>Reproducible Survey Harmonization: retroharmonize Is Released</title><link>https://danielantal.eu/hu/post/2020-09-21-retroharmonize_release/</link><pubDate>Mon, 21 Sep 2020 11:31:39 +0000</pubDate><guid>https://danielantal.eu/hu/post/2020-09-21-retroharmonize_release/</guid><description>&lt;p>Our original intention was to make surveying more accessible for music and creative industry partners, by relying more on already existing survey data, and better designing complementary, smaller surveys, becasue surveying, opinion polling is becoming increasingly expensive in the develop world. People are less and less likely to sit down for an interview in their houses. We have tried to harmonize our custom surveys, particuarly with Kantar in Hungary and Focus in Slovakia with exisiting EU projects. But we ended up making a part of international survey harmonization across countries and throughout years easier to automate.&lt;/p>
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&lt;div class="w-100" >&lt;img src="https://danielantal.eu/img/packages/ab_plot1.png" alt="Harmonized results from Afrobarometer" loading="lazy" data-zoomable />&lt;/div>
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&lt;p>Surveys are like sensors for natural sciences and industrial production. They are essential for almost any social and economic statistical indicator, for calculating the inflation, parts of the GDP, participation in education programs. Making surveys easier to harmonize and exploit more already existing survey data can bring down research cost, and can increase research value at the same time. (See our earlier blog post &lt;a href="https://dataobservatory.eu/post/2020-07-10-retroharmonize/" target="_blank" rel="noopener">Increase The Value Of Market Research With Open Data And Survey Harmonization&lt;/a>.)&lt;/p>
&lt;p>So, if you are an R user, you can use &lt;code>install.packages(“retroharmonize”)&lt;/code> to get the released 0.1.13 version and make tutorials with real Eurobarometer or Afrobarometer microdata. With &lt;code>devtools::install_github(&amp;quot;antaldaniel/retroharmonize&amp;quot;)&lt;/code> you can already install the current development version 0.1.14, which handles perl-like regex, which will be necessary for our next tutorial in the making for &lt;a href="https://www.arabbarometer.org/" target="_blank" rel="noopener">Arab Barometer&lt;/a>.&lt;/p>
&lt;p>&lt;strong>Related&lt;/strong>:&lt;/p>
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&lt;p>&lt;a href="https://retroharmonize.dataobservatory.eu/" target="_blank" rel="noopener">retroharmonize package website&lt;/a>&lt;/p>
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&lt;p>&lt;a href="https://github.com/antaldaniel/retroharmonize/" target="_blank" rel="noopener">retroharmonize on github&lt;/a>&lt;/p>
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