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• B2B Customer Journey Map : A Quickfire Guide for Growth

  20 mai 2024, par Erin

  What is a company’s biggest asset ?

  Its product ? Its employees ? Its unique selling proposition ?

  More and more people are recognising it’s something else entirely : your customers.

  Without your customers, your business can’t exist.

  Nearly 77% of B2B buyers found the buying process too complicated.

  With more competition than ever, it’s crucial you provide the best possible experience for them.

  That’s where your customer journey comes in.

  If you’re in the B2B space, you need to know how to map out the journey.

  By building a B2B customer journey map, you’ll be able to analyse the weak spots in the customer journey so you can improve the experience (and generate more revenue).

  In this article, we break down the B2B customer journey stages, how to build a customer journey map and how Matomo can help you track your customer journey automatically.

  What is a B2B customer journey ?

  Every customer goes through a specific path within your business.

  At some point in time, they found out about you and eventually bought your products.

  

  A B2B customer journey is the collection of touchpoints your customer has with your business from start to finish.

  From discovery to purchase (and more), your customers go through a specific set of touches you can track. By analysing this journey, you can get a snapshot of your user experience.

  One way to track the customer journey is with a B2B customer journey map.

  It helps you to quickly see the different steps your customers take in their path with your business.

  With it, you can quickly identify weak spots and successes to improve the customer journey.

  5 stages of the B2B customer journey

  Every one of your customers is unique. Their specific needs and their journey.

  It’s all different.

  But, there are crucial steps they take through their journey as your customer.

  It’s the same path your entire customer base takes.

  Here are the five stages of the B2B customer journey (and why you should track them) :

  

  1. Awareness

  Awareness is the first stage that every B2B buyer goes through when they start their journey in B2B companies as a customer.

  At this stage, your target buyer understands they have a problem they need solving. They’re out, actively trying to solve this problem. 

  This is where you can stand out from the competition and give them a good first impression.

  Some helpful content you could create to do this is :

  • Blog posts
  • Social media posts
  • Ebooks
  • Whitepapers

  2. Consideration

  Next up, your buyer persona has an awareness of your company. But, now they’ve started narrowing down their options for potential businesses they’re interested in.

  They’ve selected yours as a potential business to hand their hard-earned cash over to, but they’re still making up their mind.

  At this point, you need to do what you can to clear up any objections and doubts in their mind and make them trust you.

  Some helpful content you could create here include :

  • Product demos by your sales team
  • Webinars
  • Case studies

  3. Conversion

  Next up, your target buyer has compared all their options and decided on you as the chosen product/company.

  This is where the purchase decision is made — when the B2B buyer actually signs or clicks “buy.”

  Here, you’ll want to provide more :

  • Case studies
  • Live demos
  • Customer service
  • Customer reviews/testimonials

  4. Loyalty

  Your B2B buyer is now a customer. But, not all customers return. The majority will slip away after the first purchase. If you want them to return, you need to fuel the relationship and nurture them even more.

  You’ll want to shift your efforts to nurturing the relationship with a post-purchase strategy where you build on that trust, seek customer feedback to prove high customer satisfaction and reward their loyalty.

  Some content you may want to create here includes :

  • Thank you emails
  • Follow-up emails
  • Follow-up calls
  • Product how-tos
  • Reward program
  • Surveys

  5. Advocacy

  The final stage of the B2B customer journey map is advocacy.

  This is the stage beyond loyalty where your customers aren’t just coming back for more ; they’re actively telling others about you.

  This is the cream of the crop when it comes to the B2B buyer stages, and it happens when you exceed customer expectations repeatedly.

  Your goal should be to eventually get all of your customers to this stage. Because then, they’re doing free marketing for you.

  This is only possible when a customer receives enough positive B2B customer experiences with your company where the value they’ve received far exceeds what they perceived they have given.

  Here are a few pieces of content you can create to fuel advocacy :

  • Surveys
  • Testimonial requests
  • Referral program

  Difference between B2C and B2B customer journeys

  Every person on earth who buys something enters the customer journey.

  But, not all customer journeys are created equal.

  This is especially true when you compare the B2C and B2B customer journeys.

  While there are similarities, the business-to-consumer (B2C) journey has clear differences compared to the business-to-business (B2B) journey.

  

  The most obvious difference between the two journeys is that B2B customer journeys are far more complex. 

  Not only are these two companies selling to different audiences, but they also have to deploy a completely different set of strategies to lead their customers down the path as far as they can go.

  While the journey structures are similar (from awareness to advocacy), there are differing motivating behaviours.

  Here’s a table showing the difference between B2C and B2B in the customer journey :

  Different Factors	B2B	B2C
  Target audience	Smaller, industry more important	Larger, general consumer
  Buyer	Multiple decision-makers	One decision-maker
  Buying decision	Based on needs of the organisation with multiple stakeholders	Based on an individual’s pain points
  Buying process	Multiple steps	Single step
  Customer retention	Organisational needs and ROI-based	Individual emotional factors
  Repeat sales driver	Deep relationship	Repetition, attention-based

  Step-by-step guide to building a B2B customer journey map

  Now that you’ve got a basic understanding of the typical B2B customer journey, it’s time to build out your map so you can create a visual representation of the journey.

  

  Here are six steps you need to take to craft an effective B2B customer journey map in your business :

  1. Identify your target audience (and different segments)

  The first step in customer journey mapping is to look at your target audience.

  You need to understand who they are and what different segments make up your audience.

  You need to look at the different roles each person plays within the journey.

  Unlike B2C, you’re not usually dealing with a single person. You likely have a few decision-makers you need to interact with to close a deal.

  The average B2B deal involves 6 to 10 people.

  Analyse the different roles and responsibilities of your audience.

  Figure out what requirements they need to onboard you. Understand each person’s level of influence in the buying decision.

  2. Determine your customers’ goals

  Now that you have a clear understanding of each person involved in the buying process, it’s time to analyse their unique needs and goals.

  Unlike B2C, which will include a single person with a single set of needs and goals, you have to look at several people through the decision-making process.

  What is every decision-maker’s goal ?

  An entry-level admin will have much different goals than a CEO.

  Understand each of their needs as it will be key to selling them and taking you to the next person in the chain of command.

  3. Lean on data and analytics

  Now it’s time to analyse your data.

  You don’t want to guess what will work on your B2B buyers. Instead, leverage data that proves what’s working (and what’s not).

  Analytics software like Matomo are crucial tools in your B2B customer journey toolkit.

  Matomo can help you make data-driven decisions to fuel customer acquisition and loyalty to help get more customers all the way to the advocacy stage.

  Using Matomo (which analyses and interprets different data sources) can give you a holistic view of what’s going on at each stage of the journey so you can reach your goals.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

  No credit card required

  4. Draw out customer journey stages

  Now that you have your data-backed plan, it’s time for some customer journey mapping.

  You can do this on paper or use a diagram tool to create a visual B2B customer journey map.

  Here, you’ll draw out every single stage in your customer journey, including every single touchpoint from different decision-makers.

  5. Determine each customer touchpoint

  Once you’ve drawn up the customer journey stages, you’ll have a key list of B2B customer journey touchpoints to implement.

  Write down every single customer interaction possible on the journey through.

  This could be reading an email, a blog post or watching a video on your home page.

  It could be an advertisement, a phone call or a follow-up email.

  It could even be a live demo or video sales call (meeting).

  6. Identify your own goals

  Now that you’ve got your visual B2B customer journey mapping done, it’s time to go back to you and your company.

  What are your goals ?

  What are the end results you’re looking for here ?

  You’ve got your current map in place. Now, how would you like customers to go through this journey ?

  Where would you like them to end up ?

  Look back at your company’s primary objectives if you’re stuck here.

  If your company is looking to increase profit margins, then maybe you want to focus more on retention, so you’re spending less on acquisition (and leaning more on recurring revenue from existing customers).

  How to create a Matomo funnel to track your B2B customer journey

  If you want to start tracking and optimising your B2B customer journey, you need to have a good grasp on your funnel.

  The reality is that your customer journey is your funnel.

  They’re one and the same.

  Your customer journeys through your sales funnel.

  So, if you want to optimise it, then you need to see what’s going on at each stage of your funnel.

  

  With Matomo, you can map out your entire funnel and track key events like conversions.

  This allows you to identify where your site visitors are having problems, where they’re exiting and other obstacles they’re facing on their journey through.

  To start, you first define what events or touchpoints you want included. This could mean :

  • Landing on your website
  • Visiting a product page
  • Adding something to cart
  • Going to checkout
  • Clicking “buy”

  Then, at each stage, you’ll see conversion rates.

  For example, if only 3% of your visitors go from landing on your website to the product page, you likely have an issue between your homepage (and other pages) and your product pages.

  Or, if you can get people to add to cart, but you rarely get people going to checkout, there’s likely a problem to fix on your add-to-cart page.

  By leveraging Matomo’s funnels feature, you get to see your entire customer journey (and where people are falling off) so you understand what you need to optimise to grow your business.

  If you’re ready to start building and optimising your customer journey today, then try Matomo for free for 21 days.

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• D3D11 hardware screen recording with ffmpeg using Intel H264 QSV hardware encoding

  13 mai 2024, par Cactus

  I'm trying to screen record using ffmpeg and having it all done via hardware on my Intel integrated graphics.

  


  Specs

  


  For reference, here are my specs :

  


  

  • Windows 11 Pro Version 10.0.22631 Build 22631

  


  • Model : Dell Inc. OptiPlex 3090

  


  • Processor : 11th Gen Intel(R) Core(TM) i3-1115G4 @ 3.00GHz, 2995 Mhz, 2 Core(s), 4 Logical Processor(s)

  


  • Terminal : Windows Terminal using Windows Powershell

  


  


  In this wiki, it looked like I could use the "Windows 8+ Desktop Duplication API" to be "directly encoded by a compatible hardware encoder" — so I thought that I could use h264_qsv to encode, allowing me to record without much performance overhead costs.

  


  Attempt 1

  


  I've tried copying one of the command examples, but it didn't work :

  


  ffmpeg -init_hw_device d3d11va -filter_complex ddagrab=0 


  


  Output :

  


  ffmpeg version 2024-05-02-git-71669f2ad5-full_build-www.gyan.dev Copyright (c) 2000-2024 the FFmpeg developers
  built with gcc 13.2.0 (Rev5, Built by MSYS2 project)
  configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-bzlib --enable-lzma --enable-libsnappy --enable-zlib --enable-librist --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-libbluray --enable-libcaca --enable-sdl2 --enable-libaribb24 --enable-libaribcaption --enable-libdav1d --enable-libdavs2 --enable-libuavs3d --enable-libxevd --enable-libzvbi --enable-librav1e --enable-libsvtav1 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxavs2 --enable-libxeve --enable-libxvid --enable-libaom --enable-libjxl --enable-libopenjpeg --enable-libvpx --enable-mediafoundation --enable-libass --enable-frei0r --enable-libfreetype --enable-libfribidi --enable-libharfbuzz --enable-liblensfun --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-dxva2 --enable-d3d11va --enable-d3d12va --enable-ffnvcodec --enable-libvpl --enable-nvdec --enable-nvenc --enable-vaapi --enable-libshaderc --enable-vulkan --enable-libplacebo --enable-opencl --enable-libcdio --enable-libgme --enable-libmodplug --enable-libopenmpt --enable-libopencore-amrwb --enable-libmp3lame --enable-libshine --enable-libtheora --enable-libtwolame --enable-libvo-amrwbenc --enable-libcodec2 --enable-libilbc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enable-ladspa --enable-libbs2b --enable-libflite --enable-libmysofa --enable-librubberband --enable-libsoxr --enable-chromaprint
  libavutil      59. 16.101 / 59. 16.101
  libavcodec     61.  5.103 / 61.  5.103
  libavformat    61.  3.103 / 61.  3.103
  libavdevice    61.  2.100 / 61.  2.100
  libavfilter    10.  2.101 / 10.  2.101
  libswscale      8.  2.100 /  8.  2.100
  libswresample   5.  2.100 /  5.  2.100
  libpostproc    58.  2.100 / 58.  2.100
Stream mapping:
  ddagrab:default -> Stream #0:0 (h264_qsv)
Press [q] to stop, [?] for help
Impossible to convert between the formats supported by the filter 'Parsed_ddagrab_0' and the filter 'auto_scale_0'
[fc#0 @ 000001e4ed4393c0] Error configuring filter graph: Function not implemented
[fc#0 @ 000001e4ed4393c0] Task finished with error code: -40 (Function not implemented)
[fc#0 @ 000001e4ed4393c0] Terminating thread with return code -40 (Function not implemented)
[vost#0:0/h264_qsv @ 000001e4ed454000] Could not open encoder before EOF
[vost#0:0/h264_qsv @ 000001e4ed454000] Task finished with error code: -22 (Invalid argument)
[vost#0:0/h264_qsv @ 000001e4ed454000] Terminating thread with return code -22 (Invalid argument)
[out#0/matroska @ 000001e4ed453280] Nothing was written into output file, because at least one of its streams received no packets.
frame=    0 fps=0.0 q=0.0 Lsize=       0KiB time=N/A bitrate=N/A speed=N/A
Conversion failed!


  


  Attempt 2

  


  I then tried copying one of the command examples in the linked ddagrab wiki page, but also no luck.

  


  ffmpeg -f lavfi -i ddagrab -c:v h264_qsv output.mkv


  


  Output :

  


  ffmpeg version 2024-05-02-git-71669f2ad5-full_build-www.gyan.dev Copyright (c) 2000-2024 the FFmpeg developers
  built with gcc 13.2.0 (Rev5, Built by MSYS2 project)
  configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-bzlib --enable-lzma --enable-libsnappy --enable-zlib --enable-librist --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-libbluray --enable-libcaca --enable-sdl2 --enable-libaribb24 --enable-libaribcaption --enable-libdav1d --enable-libdavs2 --enable-libuavs3d --enable-libxevd --enable-libzvbi --enable-librav1e --enable-libsvtav1 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxavs2 --enable-libxeve --enable-libxvid --enable-libaom --enable-libjxl --enable-libopenjpeg --enable-libvpx --enable-mediafoundation --enable-libass --enable-frei0r --enable-libfreetype --enable-libfribidi --enable-libharfbuzz --enable-liblensfun --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-dxva2 --enable-d3d11va --enable-d3d12va --enable-ffnvcodec --enable-libvpl --enable-nvdec --enable-nvenc --enable-vaapi --enable-libshaderc --enable-vulkan --enable-libplacebo --enable-opencl --enable-libcdio --enable-libgme --enable-libmodplug --enable-libopenmpt --enable-libopencore-amrwb --enable-libmp3lame --enable-libshine --enable-libtheora --enable-libtwolame --enable-libvo-amrwbenc --enable-libcodec2 --enable-libilbc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enable-ladspa --enable-libbs2b --enable-libflite --enable-libmysofa --enable-librubberband --enable-libsoxr --enable-chromaprint
  libavutil      59. 16.101 / 59. 16.101
  libavcodec     61.  5.103 / 61.  5.103
  libavformat    61.  3.103 / 61.  3.103
  libavdevice    61.  2.100 / 61.  2.100
  libavfilter    10.  2.101 / 10.  2.101
  libswscale      8.  2.100 /  8.  2.100
  libswresample   5.  2.100 /  5.  2.100
  libpostproc    58.  2.100 / 58.  2.100
Input #0, lavfi, from 'ddagrab':
  Duration: N/A, start: 0.000000, bitrate: N/A
  Stream #0:0: Video: wrapped_avframe, d3d11, 1920x1080 [SAR 1:1 DAR 16:9], 30 fps, 30 tbr, 1000k tbn
File 'output.mkv' already exists. Overwrite? [y/N] y
Stream mapping:
  Stream #0:0 -> #0:0 (wrapped_avframe (native) -> h264 (h264_qsv))
Press [q] to stop, [?] for help
Impossible to convert between the formats supported by the filter 'Parsed_null_0' and the filter 'auto_scale_0'
[vf#0:0 @ 00000115e105bd40] Error reinitializing filters!
[vf#0:0 @ 00000115e105bd40] Task finished with error code: -40 (Function not implemented)
[vf#0:0 @ 00000115e105bd40] Terminating thread with return code -40 (Function not implemented)
[vost#0:0/h264_qsv @ 00000115e105aa00] Could not open encoder before EOF
[vost#0:0/h264_qsv @ 00000115e105aa00] Task finished with error code: -22 (Invalid argument)
[vost#0:0/h264_qsv @ 00000115e105aa00] Terminating thread with return code -22 (Invalid argument)
[out#0/matroska @ 00000115e1054b80] Nothing was written into output file, because at least one of its streams received no packets.
frame=    0 fps=0.0 q=0.0 Lsize=       0KiB time=N/A bitrate=N/A speed=N/A
Conversion failed!


  


  My main problem is that I don't know how to use really any of these encoders and the examples I've found above don't work with me. What command should I use to screen record all with hardware acceleration on my Intel system ? I don't care about any presets or other options at the moment.

  


  Is there also a way to record audio ? When I tried to use -f dshow -i audio="Stereo Mix (Realtek(R) Audio)" by itself, which I made sure was turned on in Windows' settings and named correctly, it didn't work (is it because I'm using Bluetooth headphones that isn't connected to Realtek's system ?). Should this question be made separately than this one ?

  


• What Is Data Ethics & Why Is It Important in Business ?

  9 mai 2024, par Erin

  Data is powerful — every business on earth uses data. But some are leveraging it more than others.

  The problem ?

  Not all businesses are using data ethically.

  You need to collect, store, and analyse data to grow your business. But, if you aren’t careful, you could be crossing the line with your data usage into unethical territories.

  In a society where data is more valuable than ever, it’s crucial you perform ethical practices.

  In this article, we break down what data ethics is, why it’s important in business and how you can implement proper data ethics to ensure you stay compliant while growing your business.

  What is data ethics ?

  Data ethics are how a business collects, protects and uses data.

  It’s one field of ethics focused on organisations’ moral obligation to collect, track, analyse and interpret data correctly.

  

  Data ethics analyses multiple ways we use data :

  • Collecting data
  • Generating data
  • Tracking data
  • Analysing data
  • Interpreting data
  • Implementing activities based on data

  Data ethics is a field that asks, “Is this right or wrong ?”

  And it also asks, “Can we use data for good ?”

  If businesses use data unethically, they could get into serious hot water with their customers and even with the law.

  You need to use data to ensure you grow your business to the best of your ability. But, to maintain a clean slate in the eyes of your customers and authorities, you need to ensure you have strong data ethics.

  Why you need to follow data ethics principles

  In 2018, hackers broke into British Airways’ website by inserting harmful code, leading website visitors to a fraudulent site. 

  The result ? 

  British Airways customers gave their information to the hackers without realising it : credit cards, personal information, login information, addresses and more.

  While this was a malicious attack, the reality is that data is an integral part of everyday life. Businesses need to do everything they can to protect their customers’ data and use it ethically.

  Data ethics is crucial to understand as it sets the standard for what’s right and wrong for businesses. Without a clear grasp of data ethics, companies will willingly or neglectfully misuse data.

  With a firm foundation of data ethics, businesses worldwide can make a collective effort to function smoothly, protect their customers, and, of course, protect their own reputation. 

  3 benefits of leaning into data ethics

  We’re currently transitioning to a new world led by artificial intelligence.

  While AI presents endless opportunities for innovation in the business world, there are also countless risks at play, and it’s never been more important to develop trust with your customers and stakeholders.

  With an influx of data being created and tracked daily, you need to ensure your business is prioritising data ethics to ensure you maintain trust with your customers moving forward.

  

  Here are three benefits of data ethics that will help you develop trust, maintain a solid reputation and stay compliant to continue growing your business :

  1. Compliance with data privacy

  Privacy is everything. 

  In a world where our data is being collected nonstop, and we live more public lives than ever with social media, AI and an influx of recording and tracking in everyday life, you need to protect the privacy of your customers.

  One crucial way to protect that privacy is by complying with major data privacy regulations.

  Some of the most common regulations you need to remain compliant with include :

  • General Data Protection Regulation (GDPR)
  • California Consumer Privacy Act (CCPA)
  • Health Insurance Portability and Accountability Act (HIPAA)
  • General Personal Data Protection Law (LGPD)
  • Privacy and Electronic Communications (EC Directive) Regulations (PECR)

  While these regulations don’t directly address ethics, there’s a core overlap between privacy requirements like accountability, lawfulness and AI ethics.

  Matomo ensures you protect the privacy of your web and app users so you can track and improve your website performance with peace of mind.

  2. Maintain a good reputation

  While data ethics can help you maintain data privacy compliance, it can also help you maintain a good reputation online and offline.

  All it takes is one bad event like the British Airways breach for your company’s reputation to be ruined.

  If you want to keep a solid reputation and maintain trust with your stakeholders, customers and lawmakers, then you need to focus on developing strong data ethics.

  Businesses that invest time in establishing proper data ethics set the right foundation to protect their reputation, develop trust with stakeholders and create goodwill and loyalty.

  3. Increased trust means greater revenue

  What happens when you establish proper data ethics ?

  You’ll gain the trust of your customers, maintain a solid reputation and increase your brand image.

  Customers who trust you to protect their privacy and data want to keep doing business with you.

  So, what’s the end result for a business that values data ethics ?

  You’ll generate more revenue in the long run. Trust is one thing you should never put on the back burner if you have plans to keep growing your business. By leaning more into data ethics, you’ll be able to build that brand reputation that helps people feel comfortable buying your products and services on repeat.

  While spending time and money on data ethics may seem like an annoyance, the reality is that it’s a business investment that will pay dividends for years to come.

  5 core data ethics principles

  So, what exactly is involved in data ethics ?

  For most people, data ethics is a pretty broad and vague term. If you’re curious about the core pillars of data ethics, then keep reading.

  Here are five core data ethical principles you need to follow to ensure you’re protecting your customers’ data and maintaining trust :

  

  1. Data ownership

  The individual owns the data, not you. This is the first principle of data ethics. You don’t have control over someone else’s data. It’s theirs, and they have full ownership over it.

  Just as stealing a TV from an electronics store is a crime, stealing (or collecting) someone’s personal data without their consent is considered unlawful and unethical.

  Consent is the only way to ethically “own” someone’s data.

  How can you collect someone’s data ethically ?

  • Digital privacy policies
  • Signed, written agreements
  • Popups with checkboxes that allow you to track users’ behaviour

  Essentially, anytime you’re collecting data from your website or app users, you need to ensure you’re asking permission for that data.

  You should never assume a website visitor or customer is okay with you collecting your data automatically. Instead, ask permission to collect, track and use their data to avoid legal and ethical issues.

  2. Transparency

  The second core principle of data ethics within business is transparency. This means you need to be fully transparent on when, where and how you :

  • Collect data
  • Store data
  • Use data

  In other words, you need to allow your customers and website visitors to have a window inside your data activities.

  They need to be able to see exactly how you plan on using the data you’re collecting from them.

  For example, imagine you implemented a new initiative to personalise the website experience for each user based on individual behaviour. To do this, you’ll need to track cookies. In this case, you’d need to write up a new policy stating how this behavioural data is going to be collected, tracked and used.

  It’s within your website visitors’ rights to access this information so they can choose whether or not they want to accept or decline your website’s cookies.

  With any new data collection or tracking, you need to be 100% clear about how you’re going to use the data. You can’t be deceptive, misleading, or withholding any information on how you will use the data, as this is unethical and, in many cases, unlawful.

  3. Privacy

  Another important branch of ethics is privacy. The ethical implications of this should be obvious.

  When your users, visitors, or customers enter your sphere of influence and you begin collecting data on them, you are responsible for keeping that data private.

  When someone accepts the terms of your data usage, they’re not agreeing to have their data released to the public. They’re agreeing to let you leverage that data as their trusted business provider to better serve them. They expect you to maintain privacy.

  You can’t spread private information to third parties. You can’t blast this data to the public. 

  This is especially important if someone allows you to collect and use their personally identifiable information (PII), such as :

  • First and last name
  • Email address
  • Date of birth
  • Home address
  • Phone number

  To protect your audience’s data, you should only store it in a secure database. 

  

  For example, Matomo’s web analytics solution guarantees the privacy of both your users and analytics data.

  With Matomo, you have complete ownership of your data. Unlike other web analytics solutions that exploit your data for advertising purposes, Matomo users can use analytics with confidence, knowing that their data won’t be sold to advertisers.

  Learn more about data privacy with Matomo here.

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  4. Intention

  When you collect and store data, you need to tell your users why you’re collecting their data. But there’s another principle of data ethics that goes beyond the reason you give your customers.

  Intention is the reason you give yourself for collecting and using the data.

  Before you start collecting and storing data, you should ask yourself the following :

  • Why you need it
  • What you’ll gain from it
  • What changes you’ll be able to make after you analyse the data

  If your intention is wrong in any way, it’s unethical to collect the data :

  • You’re collecting data to hurt others
  • You’re collecting data to profit from your users’ weaknesses
  • You’re collecting data for any other malicious reason

  When you collect data, you need to have the right intentions to maintain proper data ethics ; otherwise, you could harm your brand, break trust and ruin your reputation.

  5. Outcomes

  You may have the best intentions, but sometimes, there are negative outcomes from data use.

  For example, British Airways’ intention was not to allow hackers to gain access and harm their users. But the reality is that their customers’ data was stolen and used for malicious purposes. While this isn’t technically unlawful, the outcome of collecting data ended badly.

  To ensure proper data ethics, you must have good standing with your data. This means protecting your users at all costs, maintaining a good reputation and ensuring proper privacy measures are set up.

  How to implement data ethics as a business leader

  As a business leader, CTO or CEO, it’s your responsibility to implement data ethics within your organisation. Here are some tips to implement data ethics based on the size and stage of your organisation :

  Startups

  If you’re a startup, you need to be mindful of which technology and tools you use to collect, store and use data to help you grow your business.

  It can be a real challenge to juggle all the moving parts of a startup since things can change so quickly. However, it’s crucial to establish a leader and allow easy access to ethical analysis resources to maintain proper data ethics early on.

  Small and medium-sized businesses

  As you begin scaling, you’ll likely be using even more technology. With each new business technique you implement, there will be new ways you’ll be collecting user data. 

  One of the key processes involved in managing data as you grow is to hire engineers who build out different technologies. You must have protocols, best practices and management overseeing the new technologies being built to ensure proper data ethics.

  Global businesses

  Have you scaled internationally ?

  There will be even more rules, laws, regulations and organisations to answer to if you start managing data unethically.

  You should have established teams or departments to ensure you follow proper privacy and data protocols worldwide. When you have a large organisation, you have more money and vast amounts of data. This makes you a bigger target for leaks, ransomware and hackers.

  You should ensure you have cross-departmental groups working to establish ongoing protocols and training to keep your data management in good standing.

  Leverage data ethically with Matomo

  Data is powerful.

  It’s a crucial point of leverage that’s required to stay competitive.

  However, improper use and management of data can give you a bad reputation, break trust and even cause you legal trouble.

  That’s why you must maintain good data ethics within your organisation.

  One of the most important places to set up proper data ethics and privacy measures is with your website analytics.

  Matomo is the leading, privacy-friendly web analytics solution in the world. It automatically collects, stores, and tracks data across your website ethically.

  With over 1 million websites using Matomo, you get to take full control over your website performance with :

  • Accurate data (no data sampling)
  • Privacy-friendly and GDPR-compliant analytics
  • Open-source for transparency and to create a custom solution for you

  Try Matomo free for 21-days. No credit card required.

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