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• Four Trends Shaping the Future of Analytics in Banking

  27 novembre 2024, par Daniel Crough — Banking and Financial Services

  While retail banking revenues have been growing in recent years, trends like rising financial crimes and capital required for generative AI and ML tech pose significant risks and increase operating costs across the financial industry, according to McKinsey’s State of Retail Banking report.

   

  Today’s financial institutions are focused on harnessing AI and advanced analytics to make their data work for them. To be up to the task, analytics solutions must allow banks to give consumers the convenient, personalised experiences they want while respecting their privacy.

   

  In this article, we’ll explore some of the big trends shaping the future of analytics in banking and finance. We’ll also look at how banks use data and technology to cut costs and personalise customer experiences.
  
  So, let’s get into it.

  

  This doesn’t just represent a security risk, it also impacts the usability for both customers and employees. Does any of the following sound familiar ?

  • Only specific senior employees know how to navigate the software to generate custom reports or use its more advanced features.
  • Customer complaints about your site’s usability or online banking experience are routine.
  • Onboarding employees takes much longer than necessary because of convoluted systems.
  • Teams and departments experience ‘data siloing,’ meaning that not everyone can access the data they need.

  These are warning signs that IT systems are ready for a review. Anyone thinking, “If it’s not broken, why fix it ?” should consider that legacy systems can also present data security risks. As more countries introduce regulations to protect customer privacy, staying ahead of the curve is increasingly important to avoid penalties and litigation.

  And regulations aren’t the only trends impacting the future of financial institutions’ IT and analytics.

  4 trends shaping the future of analytics in banking

  New regulations and new technology have changed the landscape of analytics in banking.

  New privacy regulations impact banks globally

  The first major international example was the advent of GDPR, which went into effect in the EU in 2018. But a lot has happened since. New privacy regulations and restrictions around AI continue to roll out.

  • The European Artificial Intelligence Act (EU AI Act), which was held up as the world’s first comprehensive legislation on AI, took effect on 31 July 2024.
  • In Europe’s federated data initiative, Gaia-X’s planned cloud infrastructure will provide for more secure, transparent, and trustworthy data storage and processing.
  • The revised Payment Services Directive (PSD2) makes payments more secure and strengthens protections for European businesses and consumers, aiming to create a more integrated and efficient payments market.

  But even businesses that don’t have customers in Europe aren’t safe. Consumer privacy is a hot-button issue globally.

  For example, the California Consumer Privacy Act (CCPA), which took effect in January, impacts the financial services industry more than any other. Case in point, 34% of CCPA-related cases filed in 2022 were related to the financial sector.

  California’s privacy regulations were the first in the US, but other states are following closely behind. On 1 July 2024, new privacy laws went into effect in Florida, Oregon, and Texas, giving people more control over their data.

  

  One typical issue for companies in the banking industry is that their privacy measures regarding user data collected from their website are much less lax than those in their online banking system.

  It’s better to proactively invest in a privacy-centric analytics platform before you get tangled up in a lawsuit and have to pay a fine (and are forced to change your system anyway). 

  And regulatory compliance isn’t the only bonus of an ethical analytics solution. The right alternative can unlock key customer insights that can help you improve the user experience.

  The demand for personalised banking services

  At the same time, consumers are expecting a more and more streamlined personal experience from financial institutions. 86% of bank employees say personalisation is a clear priority for the company. But 63% described resources as limited or only available after demonstrating clear business cases.

  McKinsey’s The data and analytics edge in corporate and commercial banking points out how advanced analytics are empowering frontline bank employees to give customers more personalised experiences at every stage :

  • Pre-meeting/meeting prep : Using advanced analytics to assess customer potential, recommend products, and identify prospects who are most likely to convert
  • Meetings/negotiation : Applying advanced models to support price negotiations, what-if scenarios and price multiple products simultaneously
  • Post-meeting/tracking : Using advanced models to identify behaviours that lead to high performance and improve forecast accuracy and sales execution

  Today’s banks must deliver the personalisation that drives customer satisfaction and engagement to outperform their competitors.

  The rise of AI and its role in banking

  With AI and machine learning technologies becoming more powerful and accessible, financial institutions around the world are already reaping the rewards.

  McKinsey estimates that AI in banking could add $200 to 340 billion annually across the global banking sector through productivity gains.

  • Credit card fraud prevention : Algorithms analyse usage to flag and block fraudulent transactions.
  • More accurate forecasting : AI-based tools can analyse a broader spectrum of data points and forecast more accurately.
  • Better risk assessment and modelling : More advanced analytics and predictive models help avoid extending credit to high-risk customers.
  • Predictive analytics : Help spot clients most likely to churn 
  • Gen-AI assistants : Instantly analyse customer profiles and apply predictive models to suggest the next best actions.

  Considering these market trends, let’s discuss how you can move your bank into the future.

  Using analytics to minimise risk and establish a competitive edge 

  With the right approach, you can leverage analytics and AI to help future-proof your bank against changing customer expectations, increased fraud, and new regulations.

  Use machine learning to prevent fraud

  Every year, more consumers are victims of credit and debit card fraud. Debit card skimming cases nearly doubled in the US in 2023. The last thing you want as a bank is to put your customer in a situation where a criminal has spent their money.

  This not only leads to a horrible customer experience but also creates a lot of internal work and additional costs.Thankfully, machine learning can help identify suspicious activity and stop transactions before they go through. For example, Mastercard’s fraud prevention model has improved fraud detection rates by 20–300%.

  

  Implementing a solution like this (or partnering with credit card companies who use it) may be a way to reduce risk and improve customer trust.

  Foresee and avoid future issues with AI-powered risk management

  Regardless of what type of financial products organisations offer, AI can be an enormous tool. Here are just a few ways in which it can mitigate financial risk in the future :

  • Predictive analytics can evaluate risk exposure and allow for more informed decisions about whether to approve commercial loan applications.
  • With better credit risk modelling, banks can avoid extending personal loans to customers most likely to default.
  • Investment banks (or individual traders or financial analysts) can use AI- and ML-based systems to monitor market and trading activity more effectively.

  Those are just a few examples that barely scratch the surface. Many other AI-based applications and analytics use cases exist across all industries and market segments.

  Protect customer privacy while still getting detailed analytics

  New regulations and increasing consumer privacy concerns don’t mean banks and financial institutions should forego website analytics altogether. Its insights into performance and customer behaviour are simply too valuable. And without customer interaction data, you’ll only know something’s wrong if someone complains.

  Fortunately, it doesn’t have to be one or the other. The right financial analytics solution can give you the data and insights needed without compromising privacy while complying with regulations like GDPR and CCPA.

  That way, you can track usage patterns and improve site performance and content quality based on accurate data — without compromising privacy. Reliable, precise analytics are crucial for any bank that’s serious about user experience.

  Use A/B testing and other tools to improve digital customer experiences

  Personalised digital experiences can be key differentiators in banking and finance when done well. But there’s stiff competition. In 2023, 40% of bank customers rated their bank’s online and mobile experience as excellent. 

  Improving digital experiences for users while respecting their privacy means going above and beyond a basic web analytics tool like Google Analytics. Invest in a platform with features like A/B tests and user session analysis for deeper insights into user behaviour.

  

  Behavioural analytics are crucial to understanding customer interactions. By identifying points of friction and drop-off points, you can make digital experiences smoother and more engaging.

  Matomo offers all this and is a great GDPR-compliant alternative to Google Analytics for banks and financial institutions. 

  Of course, this can be challenging. This is why taking an ethical and privacy-centric approach to analytics can be a key competitive edge for banks. Prioritising data security and privacy will attract other like-minded, ethically conscious consumers and boost customer loyalty.

  Get privacy-friendly web analytics suitable for banking & finance with Matomo

  Improving digital experiences for today’s customers requires a solid web analytics platform that prioritises data privacy and accurate analytics. And choosing the wrong one could even mean ending up in legal trouble or scrambling to reconstruct your entire analytics setup.

  Matomo provides privacy-friendly analytics with 100% data accuracy (no sampling), advanced privacy controls and the ability to run A/B tests and user session analysis within the same platform (limiting risk and minimising costs). 

  It’s easy to get started with Matomo. Users can access clear, easy-to-understand metrics and plenty of pre-made reports that deliver valuable insights from day one. Form usage reports can help banks and fintechs identify potential issues with broken links or technical glitches and reveal clues on improving UX in the short term.

  Over one million websites, including some of the world’s top banks and financial institutions, use Matomo for their analytics.

  Start your 21-day free trial to see why, or book a demo with one of our analytics experts.

• FFmpeg android images to movie - error while opening encoder [duplicate]

  12 juin 2018, par trinadh thatakula

  This question already has an answer here :

  • FFMPEG (libx264) “height not divisible by 2”
    
    6 answers
    
  • ffmpeg add watermark libx264 width not divisible by 2 (853x480)
    
    1 answer
    

  I have been working on android-ffmpeg to convert images into videos and I have found the code I was looking(links below) and I have tried to execute this command

  val cmd5 = arrayOf("-analyzeduration", "1M", "-probesize", "1M", "-y", "-framerate", "1/3.79", "-i", Utils.outputPath + "image%d.jpg", "-i", audio!!.path, "-c:v", "libx264", "-tune", "stillimage", "-c:a", "aac", "-strict", "experimental", "-b:a", "192k", "-pix_fmt", "yuv420p", "-shortest", outputLocation.path)

  and I got error saying

  Error while opening encoder for output stream #0:0 - maybe incorrect parameters such as bit_rate, rate, width or height

  can any1 please help me

  I have taken code from here -> KotlinFFmpeg and the code snippet is from here -> MovieMaker.kt, please give me a solution, thanks in advance

  here are the logs

      2018-06-12 18:22:24.000 25364-25664/photo.video.maker D/FFmpeg: Running publishing updates method
  
  2018-06-12 18:22:24.096 25364-25364/photo.video.maker W/System.err: java.io.IOException: ffmpeg version n3.0.1 Copyright (c) 2000-2016 the FFmpeg developers
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:   built with gcc 4.8 (GCC)
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:   configuration: --target-os=linux --cross-prefix=/home/vagrant/SourceCode/ffmpeg-android/toolchain-android/bin/arm-linux-androideabi- --arch=arm --cpu=cortex-a8 --enable-runtime-cpudetect --sysroot=/home/vagrant/SourceCode/ffmpeg-android/toolchain-android/sysroot --enable-pic --enable-libx264 --enable-libass --enable-libfreetype --enable-libfribidi --enable-libmp3lame --enable-fontconfig --enable-pthreads --disable-debug --disable-ffserver --enable-version3 --enable-hardcoded-tables --disable-ffplay --disable-ffprobe --enable-gpl --enable-yasm --disable-doc --disable-shared --enable-static --pkg-config=/home/vagrant/SourceCode/ffmpeg-android/ffmpeg-pkg-config --prefix=/home/vagrant/SourceCode/ffmpeg-android/build/armeabi-v7a --extra-cflags='-I/home/vagrant/SourceCode/ffmpeg-android/toolchain-android/include -U_FORTIFY_SOURCE -D_FORTIFY_SOURCE=2 -fno-strict-overflow -fstack-protector-all' --extra-ldflags='-L/home/vagrant/SourceCode/ffmpeg-android/toolchain-android/lib -Wl,-z,relro -Wl,-z,now -pie' --extra-libs='-lpng -lexpat -lm' --extra-cxxflags=
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:   libavutil      55. 17.103 / 55. 17.103
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:   libavcodec     57. 24.102 / 57. 24.102
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:   libavformat    57. 25.100 / 57. 25.100
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:   libavdevice    57.  0.101 / 57.  0.101
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:   libavfilter     6. 31.100 /  6. 31.100
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:   libswscale      4.  0.100 /  4.  0.100
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:   libswresample   2.  0.101 /  2.  0.101
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:   libpostproc    54.  0.100 / 54.  0.100
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err: [mjpeg @ 0xf193d000] Changing bps to 8
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err: Input #0, image2, from '/storage/emulated/0/Photo Video Maker/image%d.jpg':
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:   Duration: 00:02:35.39, start: 0.000000, bitrate: N/A
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     Stream #0:0: Video: mjpeg, yuvj420p(pc, bt470bg/unknown/unknown), 1440x1919 [SAR 1:1 DAR 1440:1919], 0.26 tbr, 0.26 tbn, 0.26 tbc
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err: [mp3 @ 0xf192d600] Skipping 0 bytes of junk at 61264.
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err: [mjpeg @ 0xf193dc00] Changing bps to 8
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err: Input #1, mp3, from '/data/user/0/photo.video.maker/files/audio2.mp3':
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:   Metadata:
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     album_artist    : Various Artists
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     AccurateRipDiscID: 018-002fb7fe-0279b2d7-47111512-2
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     AccurateRipResult: AccurateRip: Accurate (confidence 10)   [0A38F342]
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     title           : Morning
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     encoded_by      : dBpoweramp Release 14.4
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     publisher       : EMI Classics
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     composer        : Edvard Grieg
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     TMED            : CD (Lossless)
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     genre           : Classical
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     compilation     : 1
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     album           : The Most Relaxing Classical Album in the World...Ever!
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     track           : 2/18
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     disc            : 1/2
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     artist          : Edvard Grieg
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     Encoder         : Lame 3.99.5
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     UPC             : 024356665027
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     date            : 1999
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:   Duration: 00:04:18.04, start: 0.025056, bitrate: 321 kb/s
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     Stream #1:0: Audio: mp3, 44100 Hz, stereo, s16p, 320 kb/s
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     Metadata:
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:       encoder         : LAME3.99r
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     Stream #1:1: Video: mjpeg, yuvj420p(pc, bt470bg/unknown/unknown), 747x750 [SAR 1:1 DAR 249:250], 90k tbr, 90k tbn, 90k tbc
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     Metadata:
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:       comment         : Cover (front)
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err: [swscaler @ 0xf1125000] deprecated pixel format used, make sure you did set range correctly
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err: [libx264 @ 0xf193ec00] height not divisible by 2 (1440x1919)
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err: Output #0, mp4, to '/storage/emulated/0/Photo Video Maker/video/movie_1528807939616.mp4':
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     Stream #0:0: Video: h264, none, q=2-31, 128 kb/s, SAR 1:1 DAR 0:0, 0.26 fps
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     Metadata:
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:       encoder         : Lavc57.24.102 libx264
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     Stream #0:1: Audio: aac, 0 channels, 128 kb/s
  
  2018-06-12 18:22:24.097 25364-25364/photo.video.maker W/System.err:     Metadata:
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:       encoder         : Lavc57.24.102 aac
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err: Stream mapping:
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:   Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:   Stream #1:0 -> #0:1 (mp3 (native) -> aac (native))
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err: Error while opening encoder for output stream #0:0 - maybe incorrect parameters such as bit_rate, rate, width or height
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:     at photo.video.maker.tools.video.MovieMaker$convert$1.onFailure(MovieMaker.kt:78)
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:     at com.github.hiteshsondhi88.libffmpeg.FFmpegExecuteAsyncTask.onPostExecute(FFmpegExecuteAsyncTask.java:70)
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:     at com.github.hiteshsondhi88.libffmpeg.FFmpegExecuteAsyncTask.onPostExecute(FFmpegExecuteAsyncTask.java:10)
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:     at android.os.AsyncTask.finish(AsyncTask.java:695)
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:     at android.os.AsyncTask.-wrap1(Unknown Source:0)
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:     at android.os.AsyncTask$InternalHandler.handleMessage(AsyncTask.java:712)
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:     at android.os.Handler.dispatchMessage(Handler.java:106)
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:     at android.os.Looper.loop(Looper.java:164)
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:     at android.app.ActivityThread.main(ActivityThread.java:6494)
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:     at java.lang.reflect.Method.invoke(Native Method)
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:     at com.android.internal.os.RuntimeInit$MethodAndArgsCaller.run(RuntimeInit.java:438)
  
  2018-06-12 18:22:24.098 25364-25364/photo.video.maker W/System.err:     at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:807)

• Q&A : An interview with Matomo founder, Matthieu Aubry

  20 novembre 2018, par Joselyn Khor — About, Community

  Hey everyone ! Joselyn here. As always the views of our community remain top of mind. So to make sure you guys know the thinking behind these new projects, we reached out to Matomo’s founder, Matthieu, to ask questions you might want answered. Please check it out below !

  Hi guys, it’s Matthieu ! Here to answer some questions about the rebrand and the future of Matomo and Innocraft.

  What’s upcoming ?

  We’ve been busy implementing our rebrand into all aspects of Matomo and there’s also our new website, which is launching today ! The new website will help people better understand what Matomo is and how they can benefit from using modern web analytics.

  Why was Matomo and Innocraft brought onto one website ?

  In the past the separation caused a bit of confusion so we’re taking this as a chance to unite both the business brand, Innocraft and community brand, Matomo, on one website. Putting our focus on one brand, Matomo, makes it easier for people to see us with fresh eyes. We have a community side as well as a business side and while the community is still incredibly important to us, we find we have a powerful analytics tool that is capable of helping businesses too.

  Is Matomo becoming commercial or turning corporate ?

  No. nothing is changing. Matomo is still an open-source project and community. Although we’ll have a pricing page and “start free trial” on the new website brought over from Innocraft.cloud, the Matomo community will still play the biggest part on the Matomo website. We have dedicated sections focused on Community and On-Premise.

  The rebrand exercise helped us gain a refreshed perspective. After reflecting on how far we’ve come, we can feel more confident about Matomo Analytics itself as a platform. We believe it’s a great chance to bring that confidence into the brand and vision. We are proud that it’s an awesome open-source platform and at the same time it’s also powerful as a tool for businesses.

  Why is there no ‘download for free’ button on the homepage ?

   

  
  We feel many users coming to the site will get confused about our hosting options (Cloud and On-Premise) which is something you don’t usually consider when choosing an analytics tool.

  The reason for us to not have that button is when people see a “download for free” button on the homepage next to a “try it for free” button, it creates confusion. For those who do choose to download Matomo often become confused when they are left with a .zip file unaware how to install it and the technical requirements of self-hosting. We feel presenting our users with the simplest installation option first will give them the best chance possible to try Matomo to its full potential, without cost.

  And you can still find the link to Download Matomo in the footer of each page.
  

   

  Is Matomo still free to download and have forever ?

  Absolutely. The free open-source download can be found on the On-Premise section of the website, or download Matomo here.

  Why is it important to have a business behind the project ?

  There’s the reality that we have to make money in order for the Matomo project to survive … and thrive. The reason we still need a business side (Innocraft) is to fund and sustain the Matomo project. Whenever people purchase premium features, this helps finance the development of Matomo for our community.

  Because of the business we’re able to continually maintain and develop Matomo for you guys as well as future users. For example, the next release Matomo 3.8.0 is already mostly developed and will bring lots of interesting features too, like the two-factor authentication, Brute Force Protection, failed tracking requests reporting, lots of JavaScript tracker improvements, a new total summary row below reports, and many more security fixes, bug fixes, and other new features.

  So we see a business being very helpful in supporting our open-source community. Without a business side, our free, open-source project would not be able to survive.

  How will you protect the Matomo project ?

  We’ve ensured the Matomo project will be protected for the future as we wish to turn it into a not-for-profit foundation.

  We’ve also got a safeguard where the open-source code will stay under a GPL license forever. This is so we can guarantee, that no matter what happens, the Matomo project itself will stay completely free software.

  Is there a way for people to help ?

  There are heaps of ways to help ! You can help other Matomo users in the forums, contribute to fixes on GitHub, leave a great review (e.g. alternativeTo), help look for bugs with our Security Bounty Programme or participate and spread the word about Matomo in our community social media pages – Mastodon, Facebook, Twitter. Telling your friends about us would be very helpful too !

  What’s planned for the future ?
  We’ve worked hard to become the #1 open-source analytics platform (1.4 million websites use Matomo today), but now we need to empower even more individuals and businesses to take back control of their own data.

  Showing our community that we have a powerful platform is crucial, but alongside that our values are what define us. User privacy is still of utmost importance and we’re here to make it known that power needs to rest in the hands of people and not large corporations.

  You can rest easy knowing you’re doing your part in using trustworthy and dependable tools. By joining many other companies who are growing this movement to decentralise the Internet, we can build a safer, online world together.

  Join this analytics revolution and let us know what you think about Matomo !