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  • Script d’installation automatique de MediaSPIP

    25 avril 2011, par

    Afin de palier aux difficultés d’installation dues principalement aux dépendances logicielles coté serveur, un script d’installation "tout en un" en bash a été créé afin de faciliter cette étape sur un serveur doté d’une distribution Linux compatible.
    Vous devez bénéficier d’un accès SSH à votre serveur et d’un compte "root" afin de l’utiliser, ce qui permettra d’installer les dépendances. Contactez votre hébergeur si vous ne disposez pas de cela.
    La documentation de l’utilisation du script d’installation (...)

  • Que fait exactement ce script ?

    18 janvier 2011, par

    Ce script est écrit en bash. Il est donc facilement utilisable sur n’importe quel serveur.
    Il n’est compatible qu’avec une liste de distributions précises (voir Liste des distributions compatibles).
    Installation de dépendances de MediaSPIP
    Son rôle principal est d’installer l’ensemble des dépendances logicielles nécessaires coté serveur à savoir :
    Les outils de base pour pouvoir installer le reste des dépendances Les outils de développements : build-essential (via APT depuis les dépôts officiels) ; (...)

  • Automated installation script of MediaSPIP

    25 avril 2011, par

    To overcome the difficulties mainly due to the installation of server side software dependencies, an "all-in-one" installation script written in bash was created to facilitate this step on a server with a compatible Linux distribution.
    You must have access to your server via SSH and a root account to use it, which will install the dependencies. Contact your provider if you do not have that.
    The documentation of the use of this installation script is available here.
    The code of this (...)

Sur d’autres sites (4452)

  • Dreamcast Serial Extractor

    31 décembre 2017, par Multimedia Mike — Sega Dreamcast

    It has not been a very productive year for blogging. But I started the year by describing an unfinished project that I developed for the Sega Dreamcast, so I may as well end the year the same way. The previous project was a media player. That initiative actually met with some amount of success and could have developed into something interesting if I had kept at it.

    By contrast, this post describes an effort that was ultimately a fool’s errand that I spent way too much time trying to make work.

    Problem Statement
    In my neverending quest to analyze the structure of video games while also hoarding a massive collection of them (though I’m proud to report that I did play at least a few of them this past year), I wanted to be able to extract the data from my many Dreamcast titles, both games and demo discs. I had a tool called the DC Coder’s Cable, a serial cable that enables communication between a Dreamcast and a PC. With the right software, you could dump an entire Dreamcast GD-ROM, which contained a gigabyte worth of sectors.

    Problem : The dumping software (named ‘dreamrip’ and written by noted game hacker BERO) operated in a very basic mode, methodically dumping sector after sector and sending it down the serial cable. This meant that it took about 28 hours to extract all the data on a single disc by running at the maximum speed of 115,200 bits/second, or about 11 kilobytes/second. I wanted to create a faster method.

    The Pitch
    I formed a mental model of dreamrip’s operation that looked like this :



    As an improvement, I envisioned this beautiful architecture :



    Architectural Assumptions
    My proposed architecture was predicated on the assumption that the disc reading and serial output functions were both I/O-bound operations and that the CPU would be idle much of the time. My big idea was to use that presumably idle CPU time to compress the sectors before sending them over the wire. As long as the CPU can compress the data faster than 11 kbytes/sec, it should be a win. In order to achieve this, I broke the main program into 3 threads :

    1. The first thread reads the sectors ; more specifically, it asks the drive firmware to please read the sectors and make the data available in system RAM
    2. The second thread waits for sector data to appear in memory and then compresses it
    3. The third thread takes the compressed data when it is ready and shuffles it out through the serial cable

    Simple and elegant, right ?

    For data track compression, I wanted to start with zlib in order to prove the architecture, but then also try bzip2 or lzma. As long as they could compress data faster than the serial port could write it, then it should be a win. For audio track compression, I wanted to use the Flake FLAC encoder. According to my notes, I did get both bzip2 compression and the Flake compressor working on the Dreamcast. I recall choosing Flake over the official FLAC encoder because it was much simpler and had fewer dependencies, always an important consideration for platforms such as this.

    Problems
    I worked for quite awhile on this project. I have a lot of notes recorded but a lot of the problems I had remain a bit vague in my memory. However, there was one problem I discovered that eventually sunk the entire initiative :

    The serial output operation is CPU-bound.

    My initial mental model was that the a buffer could be “handed off” to the serial subsystem and the CPU could go back to doing other work. Nope. Turns out that the CPU was participating at every step of the serial transfer.

    Further, I eventually dug into the serial driver code and learned that there was already some compression taking place via the miniLZO library.

    Lessons Learned

    • Recognize the assumptions that you’re making up front at the start of the project.
    • Prototype in order to ensure plausibility
    • Profile to make sure you’re optimizing the right thing (this is something I have learned again and again).

    Another interesting tidbit from my notes : it doesn’t matter how many sectors you read at a time, the overall speed is roughly the same. I endeavored to read 1000 2048-byte data sectors, 1 or 10 or 100 at a time, or all 1000 at once. My results :

    • 1 : 19442 ms
    • 10 : 19207 ms
    • 100 : 19194 ms
    • 1000 : 19320 ms

    No difference. That surprised me.

    Side Benefits
    At one point, I needed to understand how BERO’s dreamrip software was operating. I knew I used to have the source code but I could no longer find it. Instead, I decided to try to reverse engineer what I needed from the SH-4 binary image that I had. It wasn’t an ELF image ; rather, it was a raw binary meant to be loaded at a particular memory location which makes it extra challenging for ‘objdump’. This led to me asking my most viewed and upvoted question on Stack Overflow : “Disassembling A Flat Binary File Using objdump”. The next day, it also led me to post one of my most upvoted answers when I found the solution elsewhere.

    Strangely, I have since tried out the command line shown in my answer and have been unable to make it work. But people keep upvoting both the question and the answer.

    Eventually this all became moot when I discovered a misplaced copy of the source code on one of my computers.

    I strongly recall binging through the Alias TV show while I was slogging away on this project, so I guess that’s a positive association since I got so many fun screenshots out of it.

    The Final Resolution
    Strangely, I was still determined to make this project work even though the Dreamcast SD adapter arrived for me about halfway through the effort. Part of this was just stubbornness, but part of it was my assumptions about serial port speeds, in particular, my assumption that there was a certain speed-of-light type of limitation on serial port speeds so that the SD adapter, operating over the DC’s serial port, would not be appreciably faster than the serial cable.

    This turned out to be very incorrect. In fact, the SD adapter is capable of extracting an entire gigabyte disc image in 35-40 minutes. This is the method I have since been using to extract Dreamcast disc images.

    The post Dreamcast Serial Extractor first appeared on Breaking Eggs And Making Omelettes.

  • FFMPEG Output File is Empty Nothing was Encoded (for a Picture) ?

    4 mars 2023, par Sarah Szabo

    I have a strange issue effecting one of my programs that does bulk media conversions using ffmpeg from the command line, however this effects me using it directly from the shell as well :

    


    ffmpeg -i INPUT.mkv -ss 0:30 -y -qscale:v 2 -frames:v 1 -f image2 -huffman optimal "OUTPUT.png"
fails every run with the error message :
Output file is empty, nothing was encoded (check -ss / -t / -frames parameters if used)

    


    This only happens with very specific videos, and seemingly no other videos. File type is usually .webm. These files have been downloaded properly (usually from yt-dlp), and I have tried re-downloading them just to verify their integrity.

    


    One such file from a colleague was : https://www.dropbox.com/s/xkucr2z5ra1p2oh/Triggerheart%20Execlica%20OST%20%28Arrange%29%20-%20Crueltear%20Ending.mkv?dl=0

    


    Is there a subtle issue with the command string ?

    


    Notes :

    


    removing -huffman optimal had no effect

    


    moving -ss to before -i had no effect

    


    removing -f image2 had no effect

    


    Full Log :

    


    sarah@MidnightStarSign:~/Music/Playlists/Indexing/Indexing Temp$ ffmpeg -i Triggerheart\ Execlica\ OST\ \(Arrange\)\ -\ Crueltear\ Ending.mkv -ss 0:30 -y -qscale:v 2 -frames:v 1 -f image2 -huffman optimal "TEST.png"
ffmpeg version n5.1.2 Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 12.2.0 (GCC)
  configuration: --prefix=/usr --disable-debug --disable-static --disable-stripping --enable-amf --enable-avisynth --enable-cuda-llvm --enable-lto --enable-fontconfig --enable-gmp --enable-gnutls --enable-gpl --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libdav1d --enable-libdrm --enable-libfreetype --enable-libfribidi --enable-libgsm --enable-libiec61883 --enable-libjack --enable-libmfx --enable-libmodplug --enable-libmp3lame --enable-libopencore_amrnb --enable-libopencore_amrwb --enable-libopenjpeg --enable-libopus --enable-libpulse --enable-librav1e --enable-librsvg --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtheora --enable-libv4l2 --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxcb --enable-libxml2 --enable-libxvid --enable-libzimg --enable-nvdec --enable-nvenc --enable-opencl --enable-opengl --enable-shared --enable-version3 --enable-vulkan
  libavutil      57. 28.100 / 57. 28.100
  libavcodec     59. 37.100 / 59. 37.100
  libavformat    59. 27.100 / 59. 27.100
  libavdevice    59.  7.100 / 59.  7.100
  libavfilter     8. 44.100 /  8. 44.100
  libswscale      6.  7.100 /  6.  7.100
  libswresample   4.  7.100 /  4.  7.100
  libpostproc    56.  6.100 / 56.  6.100
[matroska,webm @ 0x55927f484740] Could not find codec parameters for stream 2 (Attachment: none): unknown codec
Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
Input #0, matroska,webm, from 'Triggerheart Execlica OST (Arrange) - Crueltear Ending.mkv':
  Metadata:
    title           : TriggerHeart Exelica PS2 & 360 Arrange ー 16 - Crueltear Ending
    PURL            : https://www.youtube.com/watch?v=zJ0bEa_8xEg
    COMMENT         : https://www.youtube.com/watch?v=zJ0bEa_8xEg
    ARTIST          : VinnyVynce
    DATE            : 20170905
    ENCODER         : Lavf59.27.100
  Duration: 00:00:30.00, start: -0.007000, bitrate: 430 kb/s
  Stream #0:0(eng): Video: vp9 (Profile 0), yuv420p(tv, bt709), 720x720, SAR 1:1 DAR 1:1, 25 fps, 25 tbr, 1k tbn (default)
    Metadata:
      DURATION        : 00:00:29.934000000
  Stream #0:1(eng): Audio: opus, 48000 Hz, stereo, fltp (default)
    Metadata:
      DURATION        : 00:00:30.001000000
  Stream #0:2: Attachment: none
    Metadata:
      filename        : cover.webp
      mimetype        : image/webp
Codec AVOption huffman (Huffman table strategy) specified for output file #0 (TEST.png) has not been used for any stream. The most likely reason is either wrong type (e.g. a video option with no video streams) or that it is a private option of some encoder which was not actually used for any stream.
Stream mapping:
  Stream #0:0 -> #0:0 (vp9 (native) -> png (native))
Press [q] to stop, [?] for help
Output #0, image2, to 'TEST.png':
  Metadata:
    title           : TriggerHeart Exelica PS2 & 360 Arrange ー 16 - Crueltear Ending
    PURL            : https://www.youtube.com/watch?v=zJ0bEa_8xEg
    COMMENT         : https://www.youtube.com/watch?v=zJ0bEa_8xEg
    ARTIST          : VinnyVynce
    DATE            : 20170905
    encoder         : Lavf59.27.100
  Stream #0:0(eng): Video: png, rgb24, 720x720 [SAR 1:1 DAR 1:1], q=2-31, 200 kb/s, 25 fps, 25 tbn (default)
    Metadata:
      DURATION        : 00:00:29.934000000
      encoder         : Lavc59.37.100 png
frame=    0 fps=0.0 q=0.0 Lsize=N/A time=00:00:00.00 bitrate=N/A speed=   0x    
video:0kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
Output file is empty, nothing was encoded (check -ss / -t / -frames parameters if used)


    


    Manjaro OS System Specs :

    


    System:&#xA;  Kernel: 6.1.12-1-MANJARO arch: x86_64 bits: 64 compiler: gcc v: 12.2.1&#xA;    parameters: BOOT_IMAGE=/@/boot/vmlinuz-6.1-x86_64&#xA;    root=UUID=f11386cf-342d-47ac-84e6-484b7b2f377d rw rootflags=subvol=@&#xA;    radeon.modeset=1 nvdia-drm.modeset=1 quiet&#xA;    cryptdevice=UUID=059df4b4-5be4-44d6-a23a-de81135eb5b4:luks-disk&#xA;    root=/dev/mapper/luks-disk apparmor=1 security=apparmor&#xA;    resume=/dev/mapper/luks-swap udev.log_priority=3&#xA;  Desktop: KDE Plasma v: 5.26.5 tk: Qt v: 5.15.8 wm: kwin_x11 vt: 1 dm: SDDM&#xA;    Distro: Manjaro Linux base: Arch Linux&#xA;Machine:&#xA;  Type: Desktop Mobo: ASUSTeK model: PRIME X570-PRO v: Rev X.0x&#xA;    serial: <superuser required="required"> UEFI: American Megatrends v: 4408&#xA;    date: 10/27/2022&#xA;Battery:&#xA;  Message: No system battery data found. Is one present?&#xA;Memory:&#xA;  RAM: total: 62.71 GiB used: 27.76 GiB (44.3%)&#xA;  RAM Report: permissions: Unable to run dmidecode. Root privileges required.&#xA;CPU:&#xA;  Info: model: AMD Ryzen 9 5950X bits: 64 type: MT MCP arch: Zen 3&#x2B; gen: 4&#xA;    level: v3 note: check built: 2022 process: TSMC n6 (7nm) family: 0x19 (25)&#xA;    model-id: 0x21 (33) stepping: 0 microcode: 0xA201016&#xA;  Topology: cpus: 1x cores: 16 tpc: 2 threads: 32 smt: enabled cache:&#xA;    L1: 1024 KiB desc: d-16x32 KiB; i-16x32 KiB L2: 8 MiB desc: 16x512 KiB&#xA;    L3: 64 MiB desc: 2x32 MiB&#xA;  Speed (MHz): avg: 4099 high: 4111 min/max: 2200/6358 boost: disabled&#xA;    scaling: driver: acpi-cpufreq governor: schedutil cores: 1: 4099 2: 4095&#xA;    3: 4102 4: 4100 5: 4097 6: 4100 7: 4110 8: 4111 9: 4083 10: 4099 11: 4100&#xA;    12: 4094 13: 4097 14: 4101 15: 4100 16: 4099 17: 4100 18: 4097 19: 4098&#xA;    20: 4095 21: 4100 22: 4099 23: 4099 24: 4105 25: 4098 26: 4100 27: 4100&#xA;    28: 4092 29: 4103 30: 4101 31: 4100 32: 4099 bogomips: 262520&#xA;  Flags: 3dnowprefetch abm adx aes aperfmperf apic arat avic avx avx2 bmi1&#xA;    bmi2 bpext cat_l3 cdp_l3 clflush clflushopt clwb clzero cmov cmp_legacy&#xA;    constant_tsc cpb cpuid cqm cqm_llc cqm_mbm_local cqm_mbm_total&#xA;    cqm_occup_llc cr8_legacy cx16 cx8 de decodeassists erms extapic&#xA;    extd_apicid f16c flushbyasid fma fpu fsgsbase fsrm fxsr fxsr_opt ht&#xA;    hw_pstate ibpb ibrs ibs invpcid irperf lahf_lm lbrv lm mba mca mce&#xA;    misalignsse mmx mmxext monitor movbe msr mtrr mwaitx nonstop_tsc nopl npt&#xA;    nrip_save nx ospke osvw overflow_recov pae pat pausefilter pclmulqdq&#xA;    pdpe1gb perfctr_core perfctr_llc perfctr_nb pfthreshold pge pku pni popcnt&#xA;    pse pse36 rapl rdpid rdpru rdrand rdseed rdt_a rdtscp rep_good sep sha_ni&#xA;    skinit smap smca smep ssbd sse sse2 sse4_1 sse4_2 sse4a ssse3 stibp succor&#xA;    svm svm_lock syscall tce topoext tsc tsc_scale umip v_spec_ctrl&#xA;    v_vmsave_vmload vaes vgif vmcb_clean vme vmmcall vpclmulqdq wbnoinvd wdt&#xA;    x2apic xgetbv1 xsave xsavec xsaveerptr xsaveopt xsaves&#xA;  Vulnerabilities:&#xA;  Type: itlb_multihit status: Not affected&#xA;  Type: l1tf status: Not affected&#xA;  Type: mds status: Not affected&#xA;  Type: meltdown status: Not affected&#xA;  Type: mmio_stale_data status: Not affected&#xA;  Type: retbleed status: Not affected&#xA;  Type: spec_store_bypass mitigation: Speculative Store Bypass disabled via&#xA;    prctl&#xA;  Type: spectre_v1 mitigation: usercopy/swapgs barriers and __user pointer&#xA;    sanitization&#xA;  Type: spectre_v2 mitigation: Retpolines, IBPB: conditional, IBRS_FW,&#xA;    STIBP: always-on, RSB filling, PBRSB-eIBRS: Not affected&#xA;  Type: srbds status: Not affected&#xA;  Type: tsx_async_abort status: Not affected&#xA;Graphics:&#xA;  Device-1: NVIDIA GA104 [GeForce RTX 3070] vendor: ASUSTeK driver: nvidia&#xA;    v: 525.89.02 alternate: nouveau,nvidia_drm non-free: 525.xx&#x2B;&#xA;    status: current (as of 2023-02) arch: Ampere code: GAxxx&#xA;    process: TSMC n7 (7nm) built: 2020-22 pcie: gen: 4 speed: 16 GT/s lanes: 8&#xA;    link-max: lanes: 16 bus-ID: 0b:00.0 chip-ID: 10de:2484 class-ID: 0300&#xA;  Device-2: AMD Cape Verde PRO [Radeon HD 7750/8740 / R7 250E]&#xA;    vendor: VISIONTEK driver: radeon v: kernel alternate: amdgpu arch: GCN-1&#xA;    code: Southern Islands process: TSMC 28nm built: 2011-20 pcie: gen: 3&#xA;    speed: 8 GT/s lanes: 8 link-max: lanes: 16 ports: active: DP-3,DP-4&#xA;    empty: DP-1, DP-2, DP-5, DP-6 bus-ID: 0c:00.0 chip-ID: 1002:683f&#xA;    class-ID: 0300 temp: 54.0 C&#xA;  Device-3: Microdia USB 2.0 Camera type: USB driver: snd-usb-audio,uvcvideo&#xA;    bus-ID: 9-2:3 chip-ID: 0c45:6367 class-ID: 0102 serial: <filter>&#xA;  Display: x11 server: X.Org v: 21.1.7 with: Xwayland v: 22.1.8&#xA;    compositor: kwin_x11 driver: X: loaded: modesetting,nvidia dri: radeonsi&#xA;    gpu: radeon display-ID: :0 screens: 1&#xA;  Screen-1: 0 s-res: 5760x2160 s-dpi: 80 s-size: 1829x686mm (72.01x27.01")&#xA;    s-diag: 1953mm (76.91")&#xA;  Monitor-1: DP-1 pos: 1-2 res: 1920x1080 dpi: 93&#xA;    size: 527x296mm (20.75x11.65") diag: 604mm (23.8") modes: N/A&#xA;  Monitor-2: DP-1-3 pos: 2-1 res: 1920x1080 dpi: 82&#xA;    size: 598x336mm (23.54x13.23") diag: 686mm (27.01") modes: N/A&#xA;  Monitor-3: DP-1-4 pos: 1-1 res: 1920x1080 dpi: 93&#xA;    size: 527x296mm (20.75x11.65") diag: 604mm (23.8") modes: N/A&#xA;  Monitor-4: DP-3 pos: primary,2-2 res: 1920x1080 dpi: 82&#xA;    size: 598x336mm (23.54x13.23") diag: 686mm (27.01") modes: N/A&#xA;  Monitor-5: DP-4 pos: 2-4 res: 1920x1080 dpi: 82&#xA;    size: 598x336mm (23.54x13.23") diag: 686mm (27.01") modes: N/A&#xA;  Monitor-6: HDMI-0 pos: 1-3 res: 1920x1080 dpi: 93&#xA;    size: 527x296mm (20.75x11.65") diag: 604mm (23.8") modes: N/A&#xA;  API: OpenGL v: 4.6.0 NVIDIA 525.89.02 renderer: NVIDIA GeForce RTX&#xA;    3070/PCIe/SSE2 direct-render: Yes&#xA;Audio:&#xA;  Device-1: NVIDIA GA104 High Definition Audio vendor: ASUSTeK&#xA;    driver: snd_hda_intel bus-ID: 5-1:2 v: kernel chip-ID: 30be:1019 pcie:&#xA;    class-ID: 0102 gen: 4 speed: 16 GT/s lanes: 8 link-max: lanes: 16&#xA;    bus-ID: 0b:00.1 chip-ID: 10de:228b class-ID: 0403&#xA;  Device-2: AMD Oland/Hainan/Cape Verde/Pitcairn HDMI Audio [Radeon HD 7000&#xA;    Series] vendor: VISIONTEK driver: snd_hda_intel v: kernel pcie: gen: 3&#xA;    speed: 8 GT/s lanes: 8 link-max: lanes: 16 bus-ID: 0c:00.1&#xA;    chip-ID: 1002:aab0 class-ID: 0403&#xA;  Device-3: AMD Starship/Matisse HD Audio vendor: ASUSTeK&#xA;    driver: snd_hda_intel v: kernel pcie: gen: 4 speed: 16 GT/s lanes: 16&#xA;    bus-ID: 0e:00.4 chip-ID: 1022:1487 class-ID: 0403&#xA;  Device-4: Schiit Audio Unison Universal Dac type: USB driver: snd-usb-audio&#xA;  Device-5: JMTek LLC. Plugable USB Audio Device type: USB&#xA;    driver: hid-generic,snd-usb-audio,usbhid bus-ID: 5-2:3 chip-ID: 0c76:120b&#xA;    class-ID: 0300 serial: <filter>&#xA;  Device-6: ASUSTek ASUS AI Noise-Cancelling Mic Adapter type: USB&#xA;    driver: hid-generic,snd-usb-audio,usbhid bus-ID: 5-4:4 chip-ID: 0b05:194e&#xA;    class-ID: 0300 serial: <filter>&#xA;  Device-7: Microdia USB 2.0 Camera type: USB driver: snd-usb-audio,uvcvideo&#xA;    bus-ID: 9-2:3 chip-ID: 0c45:6367 class-ID: 0102 serial: <filter>&#xA;  Sound API: ALSA v: k6.1.12-1-MANJARO running: yes&#xA;  Sound Interface: sndio v: N/A running: no&#xA;  Sound Server-1: PulseAudio v: 16.1 running: no&#xA;  Sound Server-2: PipeWire v: 0.3.65 running: yes&#xA;Network:&#xA;  Device-1: Intel I211 Gigabit Network vendor: ASUSTeK driver: igb v: kernel&#xA;    pcie: gen: 1 speed: 2.5 GT/s lanes: 1 port: f000 bus-ID: 07:00.0&#xA;    chip-ID: 8086:1539 class-ID: 0200&#xA;  IF: enp7s0 state: up speed: 1000 Mbps duplex: full mac: <filter>&#xA;  IP v4: <filter> type: dynamic noprefixroute scope: global&#xA;    broadcast: <filter>&#xA;  IP v6: <filter> type: noprefixroute scope: link&#xA;  IF-ID-1: docker0 state: down mac: <filter>&#xA;  IP v4: <filter> scope: global broadcast: <filter>&#xA;  WAN IP: <filter>&#xA;Bluetooth:&#xA;  Device-1: Cambridge Silicon Radio Bluetooth Dongle (HCI mode) type: USB&#xA;    driver: btusb v: 0.8 bus-ID: 5-5.3:7 chip-ID: 0a12:0001 class-ID: e001&#xA;  Report: rfkill ID: hci0 rfk-id: 0 state: up address: see --recommends&#xA;Logical:&#xA;  Message: No logical block device data found.&#xA;  Device-1: luks-c847cf9f-c6b5-4624-a25e-4531e318851a maj-min: 254:2&#xA;    type: LUKS dm: dm-2 size: 3.64 TiB&#xA;  Components:&#xA;  p-1: sda1 maj-min: 8:1 size: 3.64 TiB&#xA;  Device-2: luks-swap maj-min: 254:1 type: LUKS dm: dm-1 size: 12 GiB&#xA;  Components:&#xA;  p-1: nvme0n1p2 maj-min: 259:2 size: 12 GiB&#xA;  Device-3: luks-disk maj-min: 254:0 type: LUKS dm: dm-0 size: 919.01 GiB&#xA;  Components:&#xA;  p-1: nvme0n1p3 maj-min: 259:3 size: 919.01 GiB&#xA;RAID:&#xA;  Message: No RAID data found.&#xA;Drives:&#xA;  Local Storage: total: 9.1 TiB used: 2.79 TiB (30.6%)&#xA;  SMART Message: Unable to run smartctl. 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    &#xA;

  • A Comprehensive Guide to Robust Digital Marketing Analytics

    15 novembre 2023, par Erin — Analytics Tips

    First impressions are everything. This is not only true for dating and job interviews but also for your digital marketing strategy. Like a poorly planned job application getting tossed in the “no thank you” pile, 38% of visitors to your website will stop engaging with your content if they find the layout unpleasant. Thankfully, digital marketers can access data that can be harnessed to optimise websites and turn those “no thank you’s” into “absolutely’s.”

    So, how can we transform raw data into valuable insights that pay off ? The key is web analytics tools that can help you make sense of it all while collecting data ethically. In this article, we’ll equip you with ways to take your digital marketing strategy to the next level with the power of web analytics.

    What are the different types of digital marketing analytics ?

    Digital marketing analytics are like a cipher into the complex behaviour of your buyers. Digital marketing analytics help collect, analyse and interpret data from any touchpoint you interact with your buyers online. Whether you’re trying to gauge the effectiveness of a new email marketing campaign or improve your mobile app layout, there’s a way for you to make use of the insights you gain.

    Icons representing the 8 types of digital marketing analytics

    As we go through the eight commonly known types of digital marketing analytics, please note we’ll primarily focus on what falls under the umbrella of web analytics. 

    1. Web analytics help you better understand how users interact with your website. Good web analytics tools will help you understand user behaviour while securely handling user data. 
    2. Learn more about the effectiveness of your organisation’s social media platforms with social media analytics. Social media analytics include user engagement, post reach and audience demographics. 
    3. Email marketing analytics help you see how email campaigns are being engaged with.
    4. Search engine optimisation (SEO) analytics help you understand your website’s visibility in search engine results pages (SERPs). 
    5. Pay-per-click (PPC) or campaign analytics measure the performance of paid advertising campaigns.
    6. Content marketing analytics focus on how your content is performing with your audience. 
    7. Customer analytics helps organisations identify and examine buyer behaviour to retain the biggest spenders. 
    8. Mobile app analytics track user interactions within mobile applications. 

    Choosing which digital marketing analytics tools are the best fit for your organisation is not an easy task. When making these decisions, it’s critical to remember the ethical implications of data collection. Although data insights can be invaluable to your organisation, they won’t be of much use if you lose the trust of your users. 

    Tips and best practices for developing robust digital marketing analytics 

    So, what separates top-notch, robust digital marketing analytics from the rest ? We’ve already touched on it, but a big part involves respecting user privacy and ethically handling data. Data security should be on your list of priorities, alongside conversion rate optimisation when developing a digital marketing strategy. In this section, we will examine best practices for using digital marketing analytics while retaining user trust.

    Lightbulb with a target in the center being struck by arrows

    Clear objectives

    Before comparing digital marketing analytics tools, you should define clear and measurable goals. Try asking yourself what you need your digital marketing analytics strategy to accomplish. Do you want to improve conversion rates while remaining data compliant ? Maybe you’ve noticed users are not engaging with your platform and want to fix that. Save yourself time and energy by focusing on the most relevant pain points and areas of improvement.

    Choose the right tools for the job

    Don’t just base your decision on what other people tell you. Take the tool for a test drive — free trials allow you to test features and user interfaces and learn more about the platform before committing. When choosing digital marketing analytics tools, look for ones that ensure data accuracy as well as compliance with privacy laws like GDPR.

    Don’t overlook data compliance

    GDPR ensures organisations prioritise data protection and privacy. You could be fined up to €20 million, or 4% of the previous year’s revenue for violations. Without data compliance practices, you can say goodbye to the time and money spent on digital marketing strategies. 

    Don’t sacrifice data quality and accuracy

    Inaccurate and low-quality data can taint your analysis, making it hard to glean valuable insights from your digital marketing analytics efforts. Many analytics tools only show sampled data or use AI and ML to fill data gaps, potentially compromising the accuracy and completeness of your analytics. 

    When your analytics are based on incomplete or inaccurate data, it’s like trying to assemble a puzzle with missing pieces—you might get a glimpse of the whole picture, but it’s never quite clear. Accurate data isn’t just helpful—it’s the backbone of smart marketing strategies. It lets you make confident decisions and enables precise targeting for greater impact.

    Communicate your findings

    Having insights is one thing ; effectively communicating complex data findings is just as important. Customise dashboards to display key metrics aligned with your objectives. Make sure to automate reports, allowing stakeholders to stay updated without manual intervention. 

    Understand the user journey

    To optimise your conversion rates, you need to understand the user journey. Start by analysing visitors interactions with your website — this will help you identify conversion bottlenecks in your sales or lead generation processes. Implement A/B testing for landing page optimisation, refining elements like call-to-action buttons or copy, and leverage Form Analytics to make informed, data-driven improvements to your forms.

    Continuous improvement

    Learn from the data insights you gain, and iterate your marketing strategies based on the findings. Stay updated with evolving web analytics trends and technologies to leverage new growth opportunities. 

    Why you need web analytics to support your digital marketing analytics toolbox

    You wouldn’t set out on a roadtrip without a map, right ? Digital marketing analytics without insights into how users interact with your website are just as useless. Used ethically, web analytics tools can be an invaluable addition to your digital marketing analytics toolbox. 

    The data collected via web analytics reveals user interactions with your website. These could include anything from how long visitors stay on your page to their actions while browsing your website. Web analytics tools help you gather and understand this data so you can better understand buyer preferences. It’s like a domino effect : the more you understand your buyers and user behaviour, the better you can assess the effectiveness of your digital content and campaigns. 

    Web analytics reveal user behaviour, highlighting navigation patterns and drop-off points. Understanding these patterns helps you refine website layout and content, improving engagement and conversions for a seamless user experience.

    Magnifying glass examining various screens that contain data

    Concrete CMS harnessed the power of web analytics, specifically Matomo’s Form Analytics, to uncover crucial insights within their user onboarding process. Their data revealed a significant issue : the “address” input field was causing visitors to drop off and not complete the form, severely impacting the overall onboarding experience and conversion rate.

    Armed with these insights, Concrete CMS made targeted optimisations to the form, resulting in a substantial transformation. By addressing the specific issue identified through Form Analytics, they achieved an impressive outcome – a threefold increase in lead generation.

    This case is a great example of how web analytics can uncover customer needs and preferences and positively impact conversion rates. 

    Ethical implications of digital marketing analytics

    As we’ve touched on, digital marketing analytics are a powerful tool to help better understand online user behaviour. With great power comes great responsibility, however, and it’s a legal and ethical obligation for organisations to protect individual privacy rights. Let’s get into the benefits of practising ethical digital marketing analytics and the potential risks of not respecting user privacy : 

    • If someone uses your digital platform and then opens their email one day to find it filled with random targeted ad campaigns, they won’t be happy. Avoid losing user trust — and facing a potential lawsuit — by informing users what their data will be used for. Give them the option to consent to opt-in or opt-out of letting you use their personal information. If users are also assured you’ll safeguard personal information against unauthorised access, they’ll be more likely to trust you to handle their data securely.
    • Protecting data against breaches means investing in technology that will let you end-to-end encrypt and securely store data. Other important data-security best practices include access control, backing up data regularly and network and physical security of assets.

    A fine line separates digital marketing analytics and misusing user data — many companies have gotten into big trouble for crossing it. (By big trouble, we mean millions of dollars in fines.) When it comes to digital marketing analytics, you should never cut corners when it comes to user privacy and data security. This balance involves understanding what data can be collected and what should be collected and respecting user boundaries and preferences.

    A balanced scale with a salesperson on one side and money/profit on the other

    Learn more 

    We discussed a lot of facets of digital marketing analytics, namely how to develop a robust digital marketing strategy while prioritising data compliance. With Matomo, you can protect user data and respect user privacy while gaining invaluable insights into user behaviour with 100% accurate data. Save your organisation time and money by investing in a web analytics solution that gives you the best of both worlds. 

    If you’re ready to begin using ethical and robust digital marketing analytics on your website, try Matomo. Start your 21-day free trial now — no credit card required.