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    1. My summer readings : the outstanding, the good and the worse

      By Pierre-Nicolas Schwab • 28 september 2016

      Summer is usually the time for me to rejuvenate my creativity and get prepared for the second part of the year to come. I love to chain-read to encourage ideation. This year I packed my beloved Kindle with a few…

      Illustration of our post "My summer readings : the outstanding, the good and the worse"
      • Big data
      • Marketing
    2. Why you should not wear health devices

      26/09/16

      So far insurances had to rely on your declarative questionnaires to evaluate the risk you represented. Those have been found to be very intrusive; so intrusive in fact that Belgian consumers' defense organization Test Achats has urged insurance companies to…

      Illustration of our post "Why you should not wear health devices"
      • Big data
      • Innovation
      • Marketing
    3. Users change their behaviors to please algorithms

      21/09/16

      Technology and especially algorithms have invaded the public space. According to Alain Damasio “Freedom is not a desirable concept anymore”. Security and ease-of-use now comes first, as the success of recommendation engines tends to prove. We are surrounded by computer…

      Illustration of our post "Users change their behaviors to please algorithms"
      • Big data
      • Innovation
      • Marketing
    4. Facebook : how do people perceive NewsFeed curation algorithm

      19/09/16

      Curation algorithms aren’t fundamentally different from recommendation engines (see the article we just published on the latter here). They select what you ought to see, for instance on your Facebook Newsfeeds. Two studies have addressed customers’ perception of automated curation…

      Illustration of our post "Facebook : how do people perceive NewsFeed curation algorithm"
      • Big data
      • Marketing
      • Research
    5. Recommendation algorithms : how big is the Filter Bubble in actuality

      14/09/16

      Recommendation algorithms have been accused to trap users in a filter bubble, to promote the balkanization of information and hence to reduce serependity. The biggest opponent of recommendation engine is probably Eli Pariser who invented the very term of “filter…

      Illustration of our post "Recommendation algorithms : how big is the Filter Bubble in actuality"
      • Big data
      • Innovation
      • Marketing
    6. Big Data: let your customers improve your segmentation

      By Pierre-Nicolas Schwab • 12 september 2016

      Companies are keen on obtaining as much data as possible on their customers to improve behavioral profiling. Yet, few companies harness the power of their customers to enrich their data with new types of data, allowing new segments to be…

      Illustration of our post "Big Data: let your customers improve your segmentation"
      • Big data
      • Marketing
    7. Joe Sayegh opens amazing new store in Paris

      09/09/16

      Joe Sayegh just opened a store at 29 Rue du Roi de Sicile in Paris. This is the first B2C store of this brand which was long reserved to architects, designers and … very rich people. We couldn’t resist visiting…

      Illustration of our post "Joe Sayegh opens amazing new store in Paris"
      • Marketing
    8. 1 month using TOR : it ain’t easy to protect his privacy

      07/09/16

      Those of you who watched Ed Snowden’s movie “Citizen Four” are certainly aware of privacy issues that come with the use of the Internet. Privacy was first a value of the internet and progressively became a myth. The initial libertarian…

      Illustration of our post "1 month using TOR : it ain’t easy to protect his privacy"
      • Big data
      • Innovation
      • Marketing
    9. Digital innovation: does your market segment care ?

      05/09/16

      Tech-savvy entrepreneurs love to imagine solutions to digitalize our world and change consumers’ usages. Adoption is usually the problem that occurs. It’s therefore essential to ask you this question beforehand: “do your target customers care enough to change their habits”…

      Illustration of our post "Digital innovation: does your market segment care ?"
      • Marketing
      • Strategy
    10. Let’s reinvent recommendation engines

      02/09/16

      Recommendation engines (a series of algorithms aiming at targeting what you'd like best to see / get / purchase / you name it) are everywhere. You use them without knowing it. The first recommendation engine is actually Google (or any…

      Illustration of our post "Let’s reinvent recommendation engines"
      • Big data
      • Innovation
      • Marketing
    11. Great promotion for Canada at Lyon (France) airport

      31/08/16

      While traveling in France I spotted a very nice communication campaign at Lyon Saint-Exupery airport on the occasion of the opening of the Lyon – Montreal connection. To celebrate this new connection, passengers were invited to discover North American culture…

      Illustration of our post "Great promotion for Canada at Lyon (France) airport"
      • Marketing
    12. Pokemon Go: what does this game reveal about ourselves?

      24/08/16

      Newspapers and magazines have been quick to celebrate the amazing popularity of Pokemon Go. The stock market followed quickly and Nintendo share sky rocketed as a result of an excess of enthusiasm, before investors that Nintendo was not at the…

      Illustration of our post "Pokemon Go: what does this game reveal about ourselves?"
      • Marketing
      • Research
    13. Liberals share less serious content on Facebook than conservatives

      17/08/16

      In my quest to understand how algorithms limit our freedom, my attention was caught by a piece of research published in June 2015 in Science. This research was funded by Facebook (which is an important piece of information) and aims…

      Illustration of our post "Liberals share less serious content on Facebook than conservatives"
      • Big data
      • Marketing
      • Research
    14. How I got in the TOP10 of Linkedin’s most viewed profiles

      10/08/16

      8 weeks ago I started an experiment. I wanted to jump into the TOP10 most viewed profiles of my Linkedin network. I succeeded. Read further if you want to find out how I achieved jumping from the 100th place to…

      Illustration of our post "How I got in the TOP10 of Linkedin’s most viewed profiles"
      • Big data
      • Marketing
    15. The economy of the attention ensures a world of mediocrity

      13/07/16

      We live in a world of mediocrity. We are more than ever bombarded with stimuli of all kinds and our brains are about to explode. We are hardly able to concentrate on one task at a time and are constantly…

      Illustration of our post "The economy of the attention ensures a world of mediocrity"
      • Marketing
    16. French Universities scandalous selection algorithm revealed

      06/07/16

      Big Data technologies and in particular selection algorithms attract more and more criticism from libertarian advocates. I echoed growing concerns myself in an article calling for more transparent algorithms. French newspaper Liberation revealed that National Education ministry faces legal pressure…

      Illustration of our post "French Universities scandalous selection algorithm revealed"
      • Big data
      • Innovation
      • Marketing
    17. Market research: Snapchat 2nd most popular social media

      20/06/16

      The results of a recent market research on snapchat were made available by the Danish television (see the presentation at the end of the article, courtesy Rasmus Thaarup). Here are the key learning points. Snapchat : market research facts 2nd…

      Illustration of our post "Market research: Snapchat 2nd most popular social media"
      • Marketing
    18. Customers are kings ? No ! Not all !

      13/06/16

      We think that not all customers deserve the same level of attention. Actually some customers should even be left dissatisfied. Looks like a strong statement ? Read further to be convinced that you should change the way you decide on…

      Illustration of our post "Customers are kings ? No ! Not all !"
      • Marketing
    19. Data Scientists are NOT the solution

      08/06/16

      In a recent meeting with Big Data managers in the broadcasting industry, one complaint came over and over again. Data scientists have no feeling for business, and business people even less for statistics and Big Data. How to bridge the…

      Illustration of our post "Data Scientists are NOT the solution"
      • Big data
      • Marketing
    20. Big Data can save lives

      06/06/16

      At the conference organized together by Microsoft Europe and Louvain University, Adeline Decuyper proposed a fresh look at Big Data. She rightly made the point that Big Data can also serve non commercial purposes and contribute to Greater Good. She…

      Illustration of our post "Big Data can save lives"
      • Big data
      • Marketing
      • Misc.
    21. Bpost / PostNL : the historical context behind the merger

      01/06/16

      The Belgian post (bpost) had offered to buy the Dutch post (PostNL). Although CEO Van Gerven declared on May 30th that the negotiations would stop, one may wonder what triggered Bpost offer and what potential consequences for employees could have…

      Illustration of our post "Bpost / PostNL : the historical context behind the merger"
      • Marketing
    22. Why does Bpost want to buy Post.nl ?

      30/05/16

      Bpost has announced it had made an offer to buy Post.nl This important (and clever) move by Bpost should be understood within a larger historical context. We will explain you in a another article this context but for the moment…

      Illustration of our post "Why does Bpost want to buy Post.nl ?"
      • Marketing
    23. Big Data : what are the trends in the retail and insurance sectors ?

      25/05/16

      In partnership with Microsoft Europe (Brussels), the University of Louvain (Belgium) organized a conference on 13 May where I discussed the future impact of Big Data in the retail and insurance sectors. I started by outlining the 4 sectors that…

      Illustration of our post "Big Data : what are the trends in the retail and insurance sectors ?"
      • Big data
      • Innovation
      • Marketing
    24. Pros and cons of focus groups vs. interviews: an in-depth review

      19/05/16

      [caption id="attachment_41932" align="alignright" width="470"] Our guide to market research can be downloaded free of charge[/caption] Last update: March 2020. In an earlier article we discussed the major differences between focus groups and face-to-face interviews. Today we’d like to compare both…

      Illustration of our post "Pros and cons of focus groups vs. interviews: an in-depth review"
      • Marketing
    25. The Financial Times found the most perfect KPI’s to measure success

      11/05/16

      The success of any marketing action needs to be measured with the right KPI’s (Key Performance Indicators). The Financial Times found a unique KPI that allows outstanding predictions of their churn rate. Read further to learn more. KPI’s are difficult…

      Illustration of our post "The Financial Times found the most perfect KPI’s to measure success"
      • Big data
      • Innovation
      • Marketing
    26. Market research: all our knowledge made available in one place

      09/05/16

      Market research is often understood as doing a survey. This is not true as many other techniques and tools need to be used to get a comprehensive picture of the market. We have very often published articles on market research…

      Illustration of our post "Market research: all our knowledge made available in one place"
      • Marketing
    27. Will Amazon revolutionize supply-chain management?

      02/05/16

      Two years ago we were analyzing on this blog the rise of a new logistics giant : Amazon. Amazon was successfully testing new delivery experiences with DHL and Audi. We also predicted Amazon was ready to compete directly with the…

      Illustration of our post "Will Amazon revolutionize supply-chain management?"
      • Innovation
      • Marketing
    28. How to do a desk research on a market you don’t know yet (PART 2/2)

      27/04/16

      In the previous part of this article on desk research, we explained how to get a first glimpse into a market you don’t know. Today we continue with the two last steps: structure the information and verify it. Desk research…

      Illustration of our post "How to do a desk research on a market you don’t know yet (PART 2/2)"
      • Marketing
    29. How to do a desk research on a market you don’t know yet (PART 1/2)

      25/04/16

      Market research is especially difficult when the market you have to investigate is not known to you. Desk research is usually the technique chosen to get a first idea of what a market looks like (think about checking our series…

      Illustration of our post "How to do a desk research on a market you don’t know yet (PART 1/2)"
      • Marketing
    30. iOT : this object offers a new music experience

      22/04/16

      Music can be experienced in very different ways. But nowadays it’s mainly digital (despite vinyl revival). Beyond.io, an Antwerp-based iOT agency, wanted to create a new music experience. X-II was their answer. Music sharing has changed They launched the X-II…

      Illustration of our post "iOT : this object offers a new music experience"
      • Innovation
      • Marketing
    31. Will banks sell your data to retailers?

      20/04/16

      Your bank knows a lot about you and, as a matter of fact, the banking sector has been investing huge amount in Big Data for years. Similarly retailers know also a lot about you through the purchases you make. Is…

      Illustration of our post "Will banks sell your data to retailers?"
      • Big data
      • Marketing
    32. Insurances : towards the end of the risk sharing principle ?

      18/04/16

      There is one very important underlying principle of any insurance : risk sharing. Good drivers cover a part of the risk of bad drivers; people in good health pay for those who fall ill. Americans call this a “socialist” way…

      Illustration of our post "Insurances : towards the end of the risk sharing principle ?"
      • Big data
      • Innovation
      • Marketing
    33. “What else” : do you remember where it comes from ?

      15/04/16

      “What Else” has become Nespresso’s tagline. But do you remember where it comes from ? When a friend of mine asked me this question, I couldn’t. Watch this 2006 video and you’ll remember quickly … Image : Rob d / Shutterstock.com

      Illustration of our post "“What else” : do you remember where it comes from ?"
      • Marketing
    34. Hospitality : this postcard leverages customer satisfaction

      13/04/16

      Customer satisfaction and dissatisfaction are increasingly expressed online. Capturing this information remains instrumental for most sectors, especially for hotels and restaurants. Bad word-of-mouth can destroy reputation and cut revenues. In the hospitality sectors the norm is usually to have satisfaction…

      Illustration of our post "Hospitality : this postcard leverages customer satisfaction"
      • Marketing
    35. Mobile Me : your car has no secrets for Mercedes

      11/04/16

      Nowadays cars can be connected with your smartphone ; not only to make calls but also to control your car at distance. The Mercedes Me application enables the owner to monitor basic and more advanced functionalities of the vehicle through…

      Illustration of our post "Mobile Me : your car has no secrets for Mercedes"
      • Big data
      • Innovation
      • Marketing
      • Strategy
    36. Service quality : the next retail challenge after Big Data

      08/04/16

      Algorithms have become instrumental in retailers' strategies to increase loyalty among customers. We don't know of any major retailer not having a Big Data team working on a.o. predicting churn, couponning, increasing loyalty, new segmentation, ... Yet, what we also…

      Illustration of our post "Service quality : the next retail challenge after Big Data"
      • Big data
      • Marketing
      • Strategy
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