Recherche avancée

Sur d’autres sites (5195)

• Enterprise web analytics : Quick start guide (and top tools)

  10 juillet, par Joe — Analytics Tips

  Without data, you’ll get lost in the sea of competition.

  This is even more important for large organisations.

  Data helps you :

  • Optimise customer experiences
  • Navigate complex business decisions
  • Create a roadmap to sustainable brand growth
  • Data can power differentiation, especially within fiercely competitive sectors.

  How do you get the benefits of data in a large organisation ?

  Enterprise web analytics.

  In this guide, we’ll cover everything you need to know about enterprise web analytics to enhance website performance, improve customer experiences and increase conversions.

  What is enterprise web analytics ?

  Enterprise web analytics help large organisations capture, analyse, and act on website data to optimise customer experiences and make informed decisions. By providing insight into customer interactions, user behaviour and preferences, they’re vital in helping big businesses improve their websites.

  

  Enterprise web analytics can extract data from web pages and reveal a range of performance metrics, including :

  • Pageviews
  • Average time on page
  • Actions per visit
  • Bounce rate
  • Conversions
  • Traffic sources
  • Device type
  • Event tracking
  • And more

  You can track this data daily or access monthly reports, which will give you valuable insights into optimising user engagement, improving your website’s search engine traffic, and meeting business goals like increased conversion rates.

  For large organisations, web analytics isn’t just about measuring traffic. Instead, it’s an asset you can use to identify issues in your web strategy so you can gain insights that will fuel sustainable business growth.

  An advanced analytics strategy goes beyond the digital channels, page views and bounce rates of traditional analytics.

  Instead, modern web analytics incorporates behavioural analytics for deeper analysis and insight into user experiences. These advanced features include :

  • Heatmaps (or scroll maps) to track scroll behaviour on each page
  • User flow reports to see the pages your users visit in the customer journey
  • Session recordings to analyse user interactions (step-by-step)

  Taking a two-pronged approach to web analytics that includes both traditional and behavioural metrics, organisations get a clearer picture of users and their brand interactions.

  Different needs of enterprise companies

  Let’s dive deeper into the different needs of enterprise companies and how enterprise web analytics can help solve them :

  Access more storage

  Let’s face it. Large organisations have complex IT infrastructures and vast amounts of data.

  The amount of data to capture, analyse and store isn’t slowing down anytime soon.

  Enterprise web analytics can help handle and store large amounts of data in ways that serve the entire organisation.

  Enable cross-organisational data consumption

  It’s one thing to access data in a small company. You’ve got yourself and a few employees. That’s easy.

  But, it’s another thing to enable an organisation with thousands of employees with different roles to access complex data structures and large amounts of data.

  Enterprise web analytics allows big companies to enable their entire workforce to gain access to the data they need when they need it.

  Increase security

  As mentioned above, large organisations can use enterprise web analytics to help hundreds or even thousands of employees access their web data.

  However, some data shouldn’t be accessed by every type of employee. For example, some organisations may only want certain data accessed by executives, and some employees may not need to access certain types of data that may confuse or overwhelm them.

  Enterprise web analytics can help you grant access to certain types of data based on your role in the company, ensuring the security of sensitive data in your organisation.

  Improve privacy

  You can keep your data secure from internal breaches with enterprise web analytics. But, how do you protect customer data ?

  With all-inclusive privacy measures.

  To ensure that your customers’ privacy and data are protected, choose a web analytics solution that’s compliant with the latest and most important privacy measures, such as GDPR, LGPD and CCPA.

  Taking a privacy-first approach to data helps ensure your protection from potential legal action or fines.

  Enterprise web analytics best practices

  Want to make sure you get the most out of your web analytics strategy ?

  

  Be clear on what metrics you want to track

  You can track a ton of data in your organisation, but you may not need to. To ensure you’re not wasting time and resources tracking irrelevant numbers, you should make sure you’re clear from day one on the metrics you want to track.

  Start by making a list of key data points relevant to your business.

  For example, if you have an online marketplace, you’ll want to track specific ecommerce metrics like conversion rate, total visits, bounce rates, traffic source, etc.

  Don’t take data at face value

  Numbers alone can’t tell you the whole story of what’s happening in your organisation. It’s crucial you add context to your data, no matter what.

  Dozens of factors could impact your data and visitors’ interactions with your site, so you should always try to look beyond the numbers to see if there are other factors at play.

  For example, you might see that your site traffic is down and think your search engine optimisation (SEO) efforts aren’t working. Meanwhile, there could have been a major Google algorithm update or some sort of seasonality in a key market.

  On the other hand, you might see some positive signals that things are going well with your organic social media strategy because you saw a large influx of traffic from Instagram. But, there could be more to the story.

  For example, an Instagram influencer with five million followers may have just posted a reel reviewing your product or service without you knowing it, leading to a major traffic spike for your website.

  Remember to add notes to your web analytics data if necessary to ensure you can reference any insights from your data to maintain that point of context.

  Ensure your data is accurate

  With web analytics, data is everything. It will help you see where your traffic is coming from, how your users are behaving, and gain actionable insights into how you can improve your website and user experience.

  But if your data isn’t accurate, your efforts will be futile.

  Accurate data is crucial for launching an effective web analytics strategy. Data sampling and simple tracking errors can lead to inaccurate numbers and misleading conclusions. 

  If a tool relies on cookies to collect data, then it’s relying on a faulty data collection system. Cookies give users the option to opt out of tracking, making it challenging to get a clear picture of every user interaction.

  For example, some platforms like Google Analytics use data sampling to make predictions about traffic rather than relying on accurate data collection, leading to inaccurate numbers and conclusions.

  To ensure you’re making decisions based on accurate data, find a solution that doesn’t rely on inaccurate data collection methods like data sampling or cookies.

  Lean on visual data tools to improve analysis

  Enterprise organisations deal with a ton of data. There are endless data points to track, and it can be easy to lose track of what’s going on with the bigger picture.

  One of the best ways to interpret your data is to use a data visualisation tool to integrate with your web analytics solution, like Looker or PowerBI.

  Make sure your chosen platform lets you export your data easily so you can link it with a visual support tool.

  With Matomo, you can easily export your data into Google BigQuery to warehouse your customer data and visualise it through other tools (without the need for APIs, scripts or additional tools).

  Use advanced web analytics

  Web analytics is quite broad, and different tools will offer various features you can access in your analytics dashboard.

  Take advantage of advanced features that utilise both traditional and behavioural data for deeper insights.

  • Use heatmaps to better understand what parts of your web pages your visitors are focusing on to improve conversion rates.
  • Review session recordings to see the exact steps your customers take as they interact with your website.
  • Conduct A/B tests to see which call to action, headline, or image provides the optimal user experience.

  There are dozens of advanced features available, so take the time to make sure your chosen tool has everything you need.

  Choose a privacy-focused tool

  Obviously, not every tool is created equal, and most of the software on the market isn’t suitable for enterprise businesses.

  As a large organisation, the most important step is to choose a trusted enterprise web analytics tool to ensure it’s capable of fitting within a company of your size.

  It needs to have great infrastructure and be able to handle large amounts of data.

  Another crucial factor is to check that the tool is compatible with your website or app. Does it integrate easily with it ? What about your other software ? Will it integrate with those as well and fit into your current tech stack ?

  Most importantly, you need a platform that can provide the data and insights your organisation needs.

  Make sure the tool you choose is GDPR-compliant and privacy-friendly. The last thing you want is to be sued or fined because you chose the wrong software. 

  Consumers are growing more cautious about privacy and data risks, so picking a privacy-focused tool will help build trust with customers.

  Top 5 enterprise web analytics tools

  Now that you understand enterprise web analytics and how to get the most out of it, it’s time to talk about tools.

  You need to make sure you’re using the right web analytics software to improve productivity, optimise website performance and grow your brand without compromising on the infrastructure required for large organisations to thrive.

  Here are five of the best enterprise solutions available :

  Features and pricing comparison

  	GDPR compliant	On-premise option	100% data ownership	Traditional analytics	Behavioural analytics	Awarded best enterprise software
  Matomo	✔️	✔️	✔️	✔️	✔️	✔️
  Amplitude	✔️	✔️			✔️
  Adobe	✔️			✔️	✔️
  GA360				✔️
  Contentsquare	✔️	✔️			✔️	✔️

  Use Matomo to power your website analytics

  Web analytics help enterprise organisations reach new users, improve engagement with current users or grow their web presence.

  These advanced solutions support cross-organisational data consumption, enhance data privacy and security and allow brands to create the web experiences they know customers will love.

  

  Matomo can help you unlock the potential of your website strategy with traditional and behavioural analytics and accurate data. Trusted by over 1 million websites, Matomo’s open-source software is an ethical web solution that helps organisations of all sizes improve decision-making and customer experiences without compromising on privacy or security.

  Start your free 21-day trial now. No credit card required.

• Piwik 3 Development Update #1 – New UI design, API changes & release date

  1er septembre 2016, par Thomas Steur — Community, Development

  Over the last months, we have been actively working on the Piwik 3 release and we want to introduce you to the changes that we have done so far. They include a new and modern UI redesign, new widgets for your dashboard, and technical improvements under the hood.

  New Piwik 3 UI

  Based on Material Design we have revamped the user interface which is now more responsive, more usable and faster. While the UI is not yet finished, we invite you to check it out already and to let us know what you think.

  

  This new Piwik material design is a visual language that synthesizes classic principles of good design with the innovation and possibility of technology and science.

  More responsive

  Piwik 3 will look and feel much better on your mobile phone and tablet. Many elements have been improved : the menus, the segment editor and dashboard selector, the widgets, the settings pages and most other pages so you can fully experience and enjoy Piwik on any device !

  

  Improved usability

  We have updated the menu structure, the dashboard selector as well as the footer in reports to make your life easier when using Piwik. We love to keep these complicated things simple. There are also many other tiny improvements that you will appreciate.

  

  The Zen Mode lets you view in full screen your analytics reports and dashboards. Users love this feature and it can now be accessed by pressing “z” key.

  

  Faster

  To make the Piwik interface faster, we have refactored most of our CSS, HTML and JavaScript and moved more and more of our code into the client. As a result, Piwik now needs to reload the page much less often ! For example when you change the date or change the segment, Piwik will now load the reports instantly. To improve performance even further, Piwik will now load multiple reports on a single page in parallel.

  Native fonts

  Over the last months more and more web services have started using system fonts, and so will Piwik 3. System fonts look better, improve language support and give you a more native, familiar feeling.

  For more details and screenshots have a look at the pull request for the Piwik 3 UI update.

  New widgets

  With the “Latest Piwik Plugin Updates” widget you won’t miss any newly added or updated plugin anymore. This will help you learn about and discover the useful plugins and themes available on the Marketplace.

  

  Super users can now see at a glance the current state of the Piwik system, thanks to the new “System Check” and “System Summary” widgets.

  

  API Changes

  Piwik is the leading open analytics platform, highly customisable and extensible thanks to a flexible plugins architecture and a design based on APIs. In this new major Piwik 3 release, we significantly improve the foundation of our open platform and several of its core APIs.

  The new Widgets and Reporting API makes it possible to add reports and widgets to any existing reporting page. In the past, reporting pages had to be created manually which was time consuming and it was hard to maintain a consistent look across different reporting pages. Now reporting pages are generated automatically by the Piwik platform.

  The Plugin Settings API was changed to improve performance and to let plugin developers customize the Websites Manager. This is one step towards our goal to let users not only manage websites but also mobile apps, cars, coffee machines or any other thing.

  To see a full list of changes in the Piwik 3 analytics platform, have a look at the developer changelog.

  Developer docs

  The Piwik Developer Zone is full of guides and API references to help developers understand, integrate and extend Piwik. As some APIs have changed in the Piwik 3 release it is now possible to select the Piwik version in the top right corner of the developer zone.

  

  We are updating guides for Piwik 3 and added a Piwik 2 -> Piwik 3 Migration Guide for plugin developers. Many other guides were updated such as Menus, Custom Report and Widgets.

  Release date

  The first Piwik 3 beta release will be available in the next four weeks. Beta testers automatically receive the update if they are subscribed to the “Latest Beta” release channel. The final Piwik 3 release will be ready before the end of the year. If you want to give it a try, you can either use Piwik from Git and check out the “3.x-dev” branch, or download Piwik 3 from GitHub.

  Closing thoughts

  With faster & more beautiful reports, better APIs and more stability, Piwik 3 is a big step forward for all Piwik users. As our mission is to create, as a community, the leading international open source web analytics platform that gives every user full control of their data, we are very excited to introduce you to this upcoming release.

  We now offer Custom Development services if you like to sponsor a new feature or bug fix, or if you have any custom requirements. And if you use Piwik Analytics to grow your business and need quality help, contact the Piwik analytics experts to get started.

  Until our next Piwik 3 dev update, Happy analysis !

• FFMPEG encode video with alpha channel to flv

  29 novembre 2017, par tree

  I’m trying to encode a video (mov) to an flv with alpha channel in FFMPEG but I can’t seem to either

  1. find a codec that is supported
  2. find one that actually maintains the alpha

  Does anyone know how to set that up ?

  Thanks,

  ffmpeg -i abc_btr_1280x800_Takeover.mov -vcodec flv -pix_fmt yuv444p -s 1280x800 test4.flv

  here is the report...

  ffmpeg started on 2013-10-25 at 15:47:30
  
  Report written to "ffmpeg-20131025-154730.log"
  
  Command line: 
  
  ffmpeg -i abc_btr_1280x800_Takeover.mov -vcodec flv -pix_fmt yuv444p -s 1280x800     test4.flv -report
  
  ffmpeg version N-57367-g2f31b73 Copyright (c) 2000-2013 the FFmpeg developers
  
    built on Oct 23 2013 20:34:17 with gcc 4.8.2 (GCC)
  
    configuration: --disable-static --enable-shared --enable-gpl --enable-version3 --    disable-w32threads --enable-avisynth --enable-bzlib --enable-fontconfig --enable-frei0r --    enable-gnutls --enable-iconv --enable-libass --enable-libbluray --enable-libcaca --enable-    libfreetype --enable-libgsm --enable-libilbc --enable-libmodplug --enable-libmp3lame --    enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-librtmp --enable-libschroedinger --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvo-aacenc --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libx264 --enable-libxavs --enable-libxvid --enable-zlib
  
    libavutil      52. 47.101 / 52. 47.101
  
    libavcodec     55. 38.101 / 55. 38.101
  
    libavformat    55. 19.104 / 55. 19.104
  
    libavdevice    55.  4.100 / 55.  4.100
  
    libavfilter     3. 89.100 /  3. 89.100
  
    libswscale      2.  5.101 /  2.  5.101
  
    libswresample   0. 17.104 /  0. 17.104
  
    libpostproc    52.  3.100 / 52.  3.100
  
  Splitting the commandline.
  
  Reading option '-i' ... matched as input file with argument     'abc_btr_1280x800_Takeover.mov'.
  
  Reading option '-vcodec' ... matched as option 'vcodec' (force video codec ('copy' to     copy stream)) with argument 'flv'.
  
  Reading option '-pix_fmt' ... matched as option 'pix_fmt' (set pixel format) with argument 'yuv444p'.
  
  Reading option '-s' ... matched as option 's' (set frame size (WxH or abbreviation)) with argument '1280x800'.
  
  Reading option 'test4.flv' ... matched as output file.
  
  Reading option '-report' ... matched as option 'report' (generate a report) with argument '1'.
  
  Finished splitting the commandline.
  
  Parsing a group of options: global .
  
  Applying option report (generate a report) with argument 1.
  
  Successfully parsed a group of options.
  
  Parsing a group of options: input file abc_btr_1280x800_Takeover.mov.
  
  Successfully parsed a group of options.
  
  Opening an input file: abc_btr_1280x800_Takeover.mov.
  
  [mov,mp4,m4a,3gp,3g2,mj2 @ 000000000085ac00] Format mov,mp4,m4a,3gp,3g2,mj2 probed with size=2048 and score=100
  
  [mov,mp4,m4a,3gp,3g2,mj2 @ 000000000085ac00] ISO: File Type Major Brand: qt  
  
  [mov,mp4,m4a,3gp,3g2,mj2 @ 000000000085ac00] File position before avformat_find_stream_info() is 281624339
  
  [mov,mp4,m4a,3gp,3g2,mj2 @ 000000000085ac00] All info found
  
  [mov,mp4,m4a,3gp,3g2,mj2 @ 000000000085ac00] File position after avformat_find_stream_info() is 288732
  
  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'abc_btr_1280x800_Takeover.mov':
  
    Metadata:
  
      major_brand     : qt  
  
      minor_version   : 537199360
  
      compatible_brands: qt  
  
      creation_time   : 2013-09-22 02:50:18
  
    Duration: 00:00:10.00, start: 0.000000, bitrate: 225299 kb/s
  
      Stream #0:0(eng), 1, 1/24: Video: qtrle (rle  / 0x20656C72), bgra, 1280x800, 225293 kb/s, SAR 1280:1280 DAR 8:5, 24 fps, 24 tbr, 24 tbn, 24 tbc (default)
  
      Metadata:
  
        creation_time   : 2013-09-22 02:50:18
  
        handler_name    : Apple Alias Data Handler
  
        timecode        : 00:00:00:00
  
      Stream #0:1(eng), 0, 1/24: Data: none (tmcd / 0x64636D74), 0 kb/s (default)
  
      Metadata:
  
        creation_time   : 2013-09-22 02:50:22
  
        handler_name    : Apple Alias Data Handler
  
        timecode        : 00:00:00:00
  
  Successfully opened the file.
  
  Parsing a group of options: output file test4.flv.
  
  Applying option vcodec (force video codec ('copy' to copy stream)) with argument flv.
  
  Applying option pix_fmt (set pixel format) with argument yuv444p.
  
  Applying option s (set frame size (WxH or abbreviation)) with argument 1280x800.
  
  Successfully parsed a group of options.
  
  Opening an output file: test4.flv.
  
  Successfully opened the file.
  
  detected 4 logical cores
  
  [graph 0 input from stream 0:0 @ 0000000000303bc0] Setting 'video_size' to value '1280x800'
  
  [graph 0 input from stream 0:0 @ 0000000000303bc0] Setting 'pix_fmt' to value '30'
  
  [graph 0 input from stream 0:0 @ 0000000000303bc0] Setting 'time_base' to value '1/24'
  
  [graph 0 input from stream 0:0 @ 0000000000303bc0] Setting 'pixel_aspect' to value '1280/1280'
  
  [graph 0 input from stream 0:0 @ 0000000000303bc0] Setting 'sws_param' to value 'flags=2'
  
  [graph 0 input from stream 0:0 @ 0000000000303bc0] Setting 'frame_rate' to value '24/1'
  
  [graph 0 input from stream 0:0 @ 0000000000303bc0] w:1280 h:800 pixfmt:bgra tb:1/24 fr:24/1 sar:1/1 sws_param:flags=2
  
  [scaler for output stream 0:0 @ 00000000003056a0] Setting 'w' to value '1280'
  
  [scaler for output stream 0:0 @ 00000000003056a0] Setting 'h' to value '800'
  
  [scaler for output stream 0:0 @ 00000000003056a0] Setting 'flags' to value '0x4'
  
  [scaler for output stream 0:0 @ 00000000003056a0] w:1280 h:800 flags:'0x4' interl:0
  
  Incompatible pixel format 'yuv444p' for codec 'flv', auto-selecting format 'yuv420p'
  
  [format @ 00000000002f8320] compat: called with args=[yuv420p]
  
  [format @ 00000000002f8320] Setting 'pix_fmts' to value 'yuv420p'
  
  [AVFilterGraph @ 000000000085bc60] query_formats: 5 queried, 4 merged, 0 already done, 0 delayed
  
  [scaler for output stream 0:0 @ 00000000003056a0] w:1280 h:800 fmt:bgra sar:1/1 -> w:1280 h:800 fmt:yuv420p sar:1/1 flags:0x4
  
  [flv @ 0000000000374be0] intra_quant_bias = 0 inter_quant_bias = -64
  
  Output #0, flv, to 'test4.flv':
  
    Metadata:
  
      major_brand     : qt  
  
      minor_version   : 537199360
  
      compatible_brands: qt  
  
      encoder         : Lavf55.19.104
  
      Stream #0:0(eng), 0, 1/1000: Video: flv1 (flv) ([2][0][0][0] / 0x0002), yuv420p,             1280x800 [SAR 1:1 DAR 8:5], q=2-31, 200 kb/s, 1k tbn, 24 tbc (default)
  
      Metadata:
  
        creation_time   : 2013-09-22 02:50:18
  
            handler_name    : Apple Alias Data Handler
  
            timecode        : 00:00:00:00        
  
      Stream mapping:
  
        Stream #0:0 -> #0:0 (qtrle -> flv)
  
  Press [q] to stop, [?] for help
  
  frame=   27 fps=0.0 q=31.0 size=     351kB time=00:00:01.12 bitrate=2554.2kbits/s    
  
  frame=   46 fps= 45 q=31.0 size=     477kB time=00:00:01.91 bitrate=2039.5kbits/s    
  
  frame=   60 fps= 39 q=31.0 size=     543kB time=00:00:02.50 bitrate=1779.4kbits/s    
  
  frame=   74 fps= 36 q=31.0 size=     629kB time=00:00:03.08 bitrate=1672.4kbits/s    
  
  frame=   96 fps= 37 q=31.0 size=     795kB time=00:00:04.00 bitrate=1627.4kbits/s    
  
  frame=  123 fps= 40 q=31.0 size=     924kB time=00:00:05.12 bitrate=1477.0kbits/s    
  
  frame=  149 fps= 41 q=31.0 size=    1133kB time=00:00:06.20 bitrate=1494.7kbits/s    
  
  frame=  175 fps= 43 q=31.0 size=    1224kB time=00:00:07.29 bitrate=1375.5kbits/s    
  
  frame=  201 fps= 44 q=31.0 size=    1352kB time=00:00:08.37 bitrate=1322.7kbits/s    
  
  frame=  228 fps= 45 q=31.0 size=    1461kB time=00:00:09.50 bitrate=1260.1kbits/s    
  
  [output stream 0:0 @ 00000000003053c0] EOF on sink link output stream 0:0:default.
  
  No more output streams to write to, finishing.
  
  frame=  240 fps= 45 q=31.0 Lsize=    1600kB time=00:00:10.00 bitrate=1310.4kbits/s    
  
  
  
  video:1596kB audio:0kB subtitle:0 global headers:0kB muxing overhead 0.252476%
  
  240 frames successfully decoded, 0 decoding errors
  
  [AVIOContext @ 000000000032dfc0] Statistics: 3 seeks, 242 writeouts
  
  [AVIOContext @ 000000000085bde0] Statistics: 281664506 bytes read, 3 seeks