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Welcome in this session of MatomoCamp.

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Hey everyone, we are welcoming Dinamo today, who is a recently graduated computer scientist

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working as a developer and business analyst at open source politics.

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Today he will tell us more about his integration of Matomo and Metabase.

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Welcome Dinamo and looking forward to your talk.

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Thanks Sylvia, sorry.

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So good morning everyone.

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So I'll briefly talk about Metamo and another software we are using currently, which are

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Metabase, which is a business analytics tool.

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I will introduce further in my presentation.

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And basically the purpose of this presentation is to show you how we can improve visualizations

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coming from Matomo.

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So let's get started.

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I first introduce many topics, among them who we are at my company, so open source politics.

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The presentation of also the Metabase software, I'll do it shortly.

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And in second time, I go through the work we have done on Metabase and the link between

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Metabase and Metamo we have done.

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And finally, I'll give some insights about what can be improved, what are the next developments

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of what we have done, and answers to your questions if you have them.

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So let's go first by introducing who we are.

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So I'm currently working at a small company called Open Source Politics.

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We are part of an ecosystem called the Civic Tech companies.

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So basically, Civic Techs are companies that want to bridge the gap between democracy and

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digital tools.

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So for that, we are working around software called Decidim.

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I will present it shortly after.

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And as the name of our company suggested, we're aiming at working fully on open source

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software, which brought us to Matomo.

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So let's get started with the first demonstration of the software we are using.

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So here we are.

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So Decidim was a software created in 2015 by the City Council of Barcelona.

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And as I said, the purpose of that type of software is to bridge the gap between citizen

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asking for more democracy, for more possibility to take part in the decision making.

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And the fact that currently we are more and more in a digital era, with everybody having

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a smartphone on them.

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So there is new ways of participation.

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It can give new ways of new possibilities for citizens to take part in the democratic

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life, not only for elections, they want to take part as more, just not for elections.

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So to give you some examples of implementations of Decidim, there is obviously the City Council

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of Barcelona, but I will give some instance we have made at Open Source Politics.

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So this first platform you see here is Decidim we installed one and a half year ago at New

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York City.

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So it's not a platform aimed for the whole city of New York, but more for a small district,

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for a school on which they wanted to organize their participatory budget.

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So basically, they have an amount of money.

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And with that amount of money, they make proposals about what we can do with that money.

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So creating new spaces, buying some stuff, so on and so forth.

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And the second step is to analyze if these proposals respect the criteria and finally

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implement them according to the rules.

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Another example, a bigger one is the city of Angers in France, which is about 100,000

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inhabitants.

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And since four years, they are organizing also their participatory budgets.

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So again, a certain amount of money organized every year, so I said it, and people are making

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proposals about urbanistic culture, so on and so forth.

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So here you see the one made in 2021.

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And right now, we are in the final steps of releasing the results of that participatory

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budget.

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And as I said, so we at Open Source Politics are implementing those platforms, and we wanted

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to work from the beginning with open source software.

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So if you go on any of our platform, you can see the famous Matomo snippet code here.

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And we have currently about 100 instances of Decidim using Matomo.

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So that is for Decidim.

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And you might say right now, what is the link with Metabase?

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We had that problem that we have many different data sources.

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We had data from Decidim, so basically, proposals.

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What are the main topics which are talked about?

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Are people commenting about, is there a lot of proposals?

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Is there a lot of people registered on the platform?

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It's helping, and therefore, city councils, but also organizations or companies that are

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implementing Decidim to know if the participation is going well.

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Then we had that other tool from the beginning, which is Matomo, which tracked more roughly

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the number of visitors, what are the pages which are visited, who are the visitors coming

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from, so on and so forth.

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And we had no centralizing tool to brought all those data at the same place.

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And to also offer like an overview without having to go to Decidim, then having to go

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to Matomo, then having to go for like the mailing platform to see all those, we have

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all those data, but are separated.

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And here came Metabase.

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So Metabase is basically to power BI and tableau what Matomo is for Google Analytics.

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So it's one of the main open source alternative to make business analytics.

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So centralizing all your database in a single place and offer really talkative visualizations

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that are simple, efficient to communicate for city councils or organizations.

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So after describing it, I will just show it because it's again easier.

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So here you have the main page of Metabase, and I'll show you what the work we have done

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for a platform called the Agence Nationale Pour la Coalition des Territoires, or shortly

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ANCT.

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So here you have the Decidim instance.

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You have, again, the Matomo snippet we put it here.

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And on this Metabase instance, we had different dashboards, which are summing up data from

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that platform, but also from Matomo.

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So here you have data from Matomo.

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So basically number of visits, average time spent on the platform, referrals, what were

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the pages who were viewed.

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And on the same page below, you have data coming from Decidim.

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So the number of users, number of proposals who were made, number of people who were subscribed,

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what are the main topics discussed here.

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So you have culture, sports, so on and so forth.

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And the main proposals who are the most voted.

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So as you see, centralizing all data in the same places, and offer really talkative and

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easy visualizations to communicate.

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So viewing the results like that seems really easy, but obviously it's not.

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And I will right now present the work we have done around those two softwares to bring them

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back together.

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So first, what must be known is that Metabase is really easy to use to add new databases.

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I'll share my screen again.

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Here you have the admin dashboard, the admin board, sorry, to add new databases to your

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Metabase instance.

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And as you see, you have here what we call drivers.

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So basically endpoint, which helps you to easily add new database sources.

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So you have the one like everybody knows, MySQL, Postgres, SQLite.

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And there is also a Google Analytics driver, but as you see, there is not a Matomo driver,

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not yet.

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And that was the first job to do.

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The job was to bring, because there is no drivers for Matomo in Metabase, you had to

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bring back those data to Metabase in any sort of database, which is accepted by Metabase.

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So SQLite, Postgres, MySQL, so on and so forth.

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The second problem, which I met as a newbie in Matomo, is that the MySQL database is not

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so user friendly.

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Like if you're a data analyst and you go through the Matomo databases, so it's databases which

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is summing up all websites which are tracked.

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So if you want to isolate one website, isolate those referrals, it's not so easy.

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But there is something which is really great, which is the API of Matomo.

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If you go through the API for the one who knows, I'll just go on the instance of Matomo

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for the government, the one of which we gathered data from ANCT.

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So here we are.

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So that is talkative.

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That is really interesting because without knowing anything of the Matomo database, I

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can see the number of visits, the referrals here.

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And in one click, I can see what is the API endpoint to get those data.

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So that was the path we have chosen at Open Source Politics is that we didn't have the

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skills to develop specific Matomo drivers.

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But we had to do this API which is really well built.

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So we started with this API endpoint, and we finished with that scheme of data.

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So we have the Matomo instance, we have our Metabase instance, and we have created a small

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script, not so small right now, called Matomo pool, which is, as its name suggests, something

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which will pull the data from Matomo and bring them back to an external database.

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In our case, it was Postgres, but you can imagine all type of database.

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So you use the API endpoint, you pool the data you want, you put them back in the Postgres

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databases.

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And as we have shown previously, you can, with Metabase, add a Postgres database.

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So easy peasy, as we said.

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So let's get started with that script.

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So here it is, I'll make it bigger.

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So here you have the main architecture of this program I won't go through because it's

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not the purpose of the presentation, but basically we created it as a container, so it can be

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instantiated on whatever web host or you want.

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And you just have to put here the necessary parameters you need.

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So the base URL of your Matomo instance, the DB name of it, the ID site provided by Matomo,

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the starting and ending date of the data you want.

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And finally, really important, the authentication token provided by Matomo again to recover

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the data.

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So here I go.

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And if I want to ping and get my data, it will gather following different API endpoints,

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all data's coming from that instance.

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So here the magic is a bit hidden so I can go through.

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Here is the config.yaml file on which you see really the fact that we are basing this,

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we were based on the API of Matomo.

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So here you see some parameters given in the URL, which will be used in the URL.

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If you go back to what I previously showed, it's basically what we have here.

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So the parameters you have here are exactly the same as here.

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And we are adding again, so it's really plug and play.

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You can add a new one if you want or delete a new one following your needs.

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And finally, when the script is over, you'll have all your data put in a Postgres databases.

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So that's for the Matomobu script.

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So if you want to participate on it and see it, I put the link on the presentation and

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it's completely available and freely forkable of whatever you want on our main page.

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So that's for Matomobu.

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And I previously shown that thanks to it, we had those visualizations both of DCDM and

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Matomo at the same place, which is the purpose of our work.

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It was faster than I imagined, so I hope you have a lot of questions.

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Through that work, we had a lot of questions which arose and I will go through them.

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The first one was about GDPR compliance.

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So as you know, Matomo is really ahead in this topic about respecting GDPR by design,

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privacy by design.

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But the problem created by this script, so Matomobu, and this dataflux is that you have

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to make it safe.

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So basically, the use of an external container, this Matomobu container, must be safe.

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You have to use, in our case, it was a GSM token used to really restrict the access to

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that container to people having a special key pass, passphrase, sorry.

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There is also the fact that we have maybe more endpoints, which are great right now

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and not available.

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So I heard that in the new version of Matomo, there is the new endpoints were created.

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So we had to improve this Matomobu script to take these endpoints into the script.

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And finally, what would be the best is that without using that script, which needs to

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be a bit of, to know a bit about development and having, using bash things and so on and

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so forth, handling databases, external databases, it would be, the best would be to know how

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to code enclosure, which is the language of Metabase, and to code enclosure.

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The Matomo driver as the Google Analytics driver is currently coded for Metabase.

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So right now, if I share again my screen, I'll go, so, okay, so I think it's over.

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I have my Postgres databases and I can, so it's the database way ANCT.

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So and I can dump it and recreate it on whatever Postgres remote database I have.

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So that was again for the demonstration.

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I was really fast, faster than I thought.

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So if there is any questions or details I can show, I will gladly answer them.

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Okay, I just saw them.

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So question from Ronald, have you analyzed how they developed the connector from Google

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Analytics at Metabase?

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Yes, no, to be honest, I didn't take a look at it.

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The problem is that the Google Analytics way of handling data is completely different from

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the Matomo one.

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To give an example, to request any database from Postgres to MySQL to SQLite, you have

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a standard, which is the structured query language, SQL language.

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And for Google Analytics, it's a JSON way of making requests.

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So it's completely different and therefore I don't think it's applicable to Google Analytics.

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Furthermore, there is, I tried to use that connector to Metabase, so using, sorry, to

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use, to bring back, to use that Google Analytics driver and the authentications, the parameters

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needed for Google Analytics are completely different from the Matomo.

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For Matomo, I think you only need basically the ID site, the authentication token, and

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that's over.

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So I think it would be easier to develop that driver.

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I do not code it, but in the future it would be really awesome.

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I think it's easier, and it's something we can do in the, like, middle or long term at

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Open Source Politics.

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I'll take the next one.

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What are the new features that Metabase developed over the last six months and or any new coming

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nice features which would make the integration of Matomo easier?

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So making the integration of Matomo easier, I said it.

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It's coding a Matomo driver.

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If you have the authentication token and the ID site, I think it's really 30 seconds to

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do it.

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And new features that Metabase developed over the last six months, they are really great.

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I'll go through.

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I went really short on the possibilities of Metabase, but you have the possibility to

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send by mail all that, sorry, it's the possibility to send the entire dashboard by mail.

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So here I am.

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So if I click on subscription, I'll go through, there it is, and you can send to whatever

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mail you want.

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So if I put my personal mail as instance, and I can also join the results.

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So here you have the visual results, but you can also can join the CSV sheets of it.

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You can send it by mail.

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There is also a good nice features about protecting the data, like you can create groups which

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are restrained to that type of data or that dashboard.

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There is also visualizations.

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If I go to asking a question, if I go to that database, I just go and select all users.

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That's to show you.

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So here they are just showing them as basically a table, but here you have all different visualizations

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as they are adding more and more.

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So you have lines, pie charts, cloud points.

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If I can show you, we recently have done something for the National French Assembly, and you

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also have maps of you can add.

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So here it is.

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It's taking up to load because there is quite a number of results to analyze, but there

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is maps.

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There are, yes, new visualizations every release.

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It's really an active software.

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So here you have, so basically we, that our data coming from the CDEM, but I'm really

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sure we can do the same for data coming from Matomo.

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If you want to have more information about the rune map, there is like a release every

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two months of Metabase.

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You can go, I will put the link on the chat.

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Next question.

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How much work in terms of time would you estimate for the creation of a driver potentially cost

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if it was you coding it?

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So if it was me coding it, I think it would be a lot of money because I don't know how

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to code in Clojure.

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So I said it, but maybe some people don't know what it is.

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So Clojure is a programming language, which is a derivative of Lisp and which is running

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on the Java virtual machine.

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I won't go through details, but it's really an interesting language.

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I didn't looked well on it and I'm not really a fan of it.

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I didn't have the time because my language was Python, so I went with Python.

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I do not think it would be too difficult.

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As I said previously, the Matomo analytics driver seems really more difficult to code

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than the Matomo one.

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So to answer your question, no, I don't know how much it will cost, but I think it's really

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feasible if you find the right person in the Metabase community, which is a strong community,

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as strong as the Matomo one, I think, because there is a new release every two months.

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So I think it would be really feasible compared to other drivers who are currently developed.

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Hi, how happy is your client is about Matomo within Metabase?

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Really good question.

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Basically, Metabase is not made for viewing everything you can see on Matomo.

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The real first purpose is to have different data sources on the same place.

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So if you want all data provided by Matomo, go on Matomo.

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But if your client, like ours, is not really interested in viewing every day or every week,

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how is going the participation, how is going the frequentation of the website?

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I think Metabase is a great deal because you put it, the visualizations are really well

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built.

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I think they are more efficient, they are more talkative than the one provided by Matomo.

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Even if the one of Matomo are great, I'm not here to have enemies.

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But it's really efficient if you have other data coming from other data sources.

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If you do not have them, I do not think it's worth the risk.

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But for us, it was really a great deal.

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So I said 100 instances of Decidim on which we have Matomo.

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And right now, there is like a dozen of them, which are mainly new customers, which are

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really happy having that centralization of data in the same place.

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So I'll go through next question.

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Have you also imported some visitors log raw data from Matomo into Metabase or are you

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just working with aggregated data?

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Yes, we are just working with aggregated data.

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As I said, I'm quite a newbie in Matomo.

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I didn't know how basically the database is built.

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And when I tried to import the MySQL database of Matomo inside Metabase, really, I didn't

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found anything, whereas with the API, it was really straightforward.

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You had, you just had to provide the ID site and you had a table of visits and endpoints

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for referrals and endpoints for pages and endpoints for everything, so on and so forth.

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And it was really more easy to implement that script, Matomo pool, with the API.

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But I'm really open to like new ways of implementing it.

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I think, for example, if we had to code the Matomo driver, it would be more like efficient

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to start again from the MySQL database and then recreate the aggregated data.

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Because for data analysts who do not have the time to discover all the data scheme of

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Matomo, it would be really easier to go through, to start from the API.

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If I, to illustrate it, if I go here and I start with the Matomo database of ANCT, as

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you see, it's really straightforward.

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You have a table for every type and you have to imagine that every table you have here

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is basically a visualization or an API endpoint available on Matomo.

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And another question, have you seen any discrepancies in terms of data between Matomo and Metabase

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data, typically the count of visits per day?

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Yes, we have, no, sorry, I talked too fast.

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The data are basically updated every 24 hours for us.

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So yes, basically there is differences between the two data, the one we see on Matomo and

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the one we see on Metabase, but it's perfectly normal since we are launching that container

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once every 24 hours.

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That's one, again, of the subject of having a Matomo driver.

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If you have a Matomo driver, you can do the request every instantaneously.

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If I go back to the admin board and I take, for example, a PostgreSQL database, you can

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choose to execute automatically requests.

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So here you have that button which basically say if you want to like having a temp database

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on which Metabase work and synchronize that database every, I don't know, 24 hours.

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And in that case, it's no, the database are directly the one who are available.

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So there is no differences.

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In our case, there is, but they are not too strong because we are updating the database

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every day.

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Have you considered other open source data visualization software?

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Why did you finally choose to go for Metabase?

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Yes, there is also Redash, which is an open source software for business analytics.

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I didn't discover much that were as evolved as Metabase.

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To be honest, I'm human, so I may have missed them.

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The thing was that we already have, we had implemented Metabase at open source politics.

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So it was available right now.

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The thing is that also it was really active and that was one of the main argument which

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pushed us to use it.

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Also, the fact that it is more user friendly, so if I go back to the main dashboard and

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I ask a question, even without being a data analyst, I can create visualizations.

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So I'll go through it to show you.

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So if I take like, for example, a Metamo database and I want to have the number of visitors,

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so I choose the number of visits and I want to have the sum of number of visits and here

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it is.

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So it's really straightforward even for people who are not acquainted with databases.

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So that was one, the two criteria was that it was already implemented, the community

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was really active.

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And second one, it was really appealing for consultants, people who are not data analysts

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to work with and to take that tool to discover and to learn this tool.

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But it's not over.

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If you have any suggestion of any other tool which can be used for centralizing data and

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sharing them, I'm completely open.

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I think I went through all the questions.

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Maybe what I can do is I will share all the links about visualizations.

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I've shown you there is some public data.

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So I've showed you ANCT because the data of ANCT are open.

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But if you want to have more details about how we implemented it and what is our roadmap

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about this Metamo pool script, I'll gladly answer them.

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Maybe I can give you back the stage, Silva.

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So we still have a little bit of time.

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So if people have more questions, this is the moment to write them down.

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Maybe waiting for the question.

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I will go through all the pages and all the links I can provide.

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So if you want to know more about the work we have done, so again, it's available here

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on our main page, if I can take it back to the public chat.

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So if you want to improve it or creating issues or pull requests, it's completely open.

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There is also what we have done again.

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If you want to know more about DCD, here it is.

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And finally, more important, that are the main dashboard we started with.

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So basically, the data here are completely open.

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As I've shown you, it's available on the Metamo instance, which is completely open, given

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by the French government.

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So another great feature of Metabase that you can share easily.

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So here we are.

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And here are the public links.

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So if you want people to work around it, it's really straightforward.

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Now maybe go in deeper details, is there is any question, Silva?

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No, there are no more questions, but we also have the metrics chat.

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So you can also continue the conversation there if people want to ask more questions

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later, basically.

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So thank you very much for this very interesting session.

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You're welcome.

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Thank you for your time, and special thanks to Ronan and Lucas, and also you, Silva, for

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helping us to do so.