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The end of big (media): When news orgs move from brands to platforms for talent | Nieman Journalism Lab

The end of big (media): When news orgs move from brands to platforms for talent | Nieman Journalism Lab | Big Media (En & Fr) | Scoop.it
"What if news organizations confronted the reality that nearly all media will be 'social media' a decade hence?
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Big Media (En & Fr)
Connecting Media, Audience and Advertsing with Data. How media companies can benefit from Big Data, Open Data , Linked Data, Small Data to value their assets, improve their audience satisfaction and better monetize their inventories
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First BIG MEDIA event Connecting Media, Audience and Advertising with data in Madrid this June

First BIG MEDIA event Connecting Media, Audience and Advertising with data in Madrid this June | Big Media (En & Fr) | Scoop.it

Connecting Media, Audience and Advertising with Data

24 June 2014 – UAM Madrid

150 professionals / 30 speakers

keynotes / round tables / user cases / networking

  

Digitalization has positioned data in the center of the audiovisual media ecosystem.

A better control of content combined with a better understanding of the audience already enables to back up editorial decisions. It opens opportunities to offer more relevant content and more personalized experiences adapted to multi-device and contextual environment.

For publishers, how to efficiently leverage data has turned into a strategic question and became a new key to power its editorial, marketing and sales activities.

Good use of data enables to structure catalogues, reinforce the value of its assets, better know its audience and monetize its inventories thanks to new tools. When it is well controlled it can lead to find new audiences and open ways to diversification.

 

How Big, Small, Open and Linked Data can transform media contents into structured, rich and actionable knowledge?

How data help to connect audience with relevant content and drive the entertainment experience?

How business intelligence and real time analytic open doors for advanced advertizing solutions and new business opportunities for content owners and mediabrands?

 

On the 24th of June in Madrid, 150 professionals with 30 experts will explore those questions via practical cases, inspiring keynotes and debates.

In parallel, workshops will allow to better understand the practical operations of professional solutions critical for the success of Big Media.


More info : www.bigmediaconnect.es


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Television must mine bigger data or risk being Netflixed

Television must mine bigger data or risk being Netflixed | Big Media (En & Fr) | Scoop.it
Figures relating to consumer habits fuel decisions across a growing range of industries – and it's time for TV to catch up

Via Bruno Renkin
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Understanding Programmatic Trading : An IAB Europe White Paper [pdf]

RTB (real time bidding) was a classical industry disruption in that it delivered a new way of buying and selling advertising that was effective in meeting the needs of a very specific market.
By broadening the offer of remnant inventory it drove revenue for publishers and by offering specific audience targeting it transformed the way advertisers think about  digital media. But as the technology has matured, Programmatic Trading has
become ever more capable. Today it is widely used in the performance and RTB marketplace, while making significant inroads to the bespoke deals done by buyers and sellers. It has been a commercial success for the entire ecosystem, which has
encouraged rapid and increasing adoption. However, despite the fact that its progress has been significant there are some issues that need to be resolved.
Programmatic Trading is being hindered by a lack of technical and commercial understanding in the advertising community. In IAB Europe’s research 12 with AppNexus and WARC, it was found that while the vast majority of media buyers are using Programmatic Trading almost a quarter do not have a good understanding of it.
For marketers, that number is considerably higher at almost two thirds. And while it’s true that marketers perhaps don’t need to know the ins and outs of the way in which media is bought; their lack of understanding limits their ability to see how paid media
complements other real time initiatives, how brands can be built at scale across mobile and social channels with clear and consistent feedback loops and how digital is now the most effective way to reach and engage specifically targeted audiences.
The research also shows significant levels of concern from publishers and advertisers alike that the buyer/seller relationship has become overly combative. This potential erosion of trust between all parties cannot be entirely offset by the efficiencies of Programmatic Trading. Instead, the technology needs to evolve to
enable better inventory discovery, more collaborative deals and greater consistency in the metrics and measures used to define and realise success.
At IAB Europe, we are working with the industry to educate and inform about the impact of Programmatic Trading and are building the objective criteria and standards that will shape the industry for the next five years.

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‘Marca’ anuncia el nacimiento de ‘Marca Plus’, su primera revista interactiva para móviles y tablets

‘Marca’ anuncia el nacimiento de ‘Marca Plus’, su primera revista interactiva para móviles y tablets | Big Media (En & Fr) | Scoop.it

Se trata de un medio interactivo que los usuarios del diario podrán ver de forma gratuita cada 15 días en sus tablets y smarthpones. ‘Marca’ pretende así llegar a un mayor número de usuarios que consumen información a través de estos dispositivos, ya que ‘el objetivo es ofrecer los mejores contenidos en un soporte que llega donde el papel y la web no alcanzan’.




Leer más:  ‘Marca’ anuncia el nacimiento de ‘Marca Plus’, su primera revista interactiva para móviles y tablets  http://www.prnoticias.com/index.php/prensa/352/20133328-marca-anuncia-el-nacimiento-de-marca-plus-su-primera-revista-interactiva-para-moviles-y-tablets#Red1Pq5t68r3okpL


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SemanticSVD++: Incorporating Semantic Taste Evolution for Predicting …

Presentation slides from the International Conference on Web Intelligence 2014.
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A Look at the Social EPG | FYI Television

A Look at the Social EPG | FYI Television | Big Media (En & Fr) | Scoop.it

When we previously discussed the history of the electronic program guide, we revealed that the next level for EPGs would be social iterations.

A social EPG consists of the traditional television listings supplemented with aspects of social media (e.g. Twitter, Facebook, etc.) and/or other methods for engagement with people.

Several different IPTV publishers and app services are providing this kind of EPG now, and the trend seems to be growing in countries other than the United States.
 - See more at: http://blog.fyitelevision.com/2014/08/a-look-at-social-epg.html#sthash.9eVF5agV.dpuf

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GroupM's Move Toward Transparency | MediaPost

GroupM's Move Toward Transparency | MediaPost | Big Media (En & Fr) | Scoop.it

There's no doubting the impact that open exchanges and programmatic buying have had on the advertising landscape. But while unlimited scale for cheap is compelling, it does have its downside. For GroupM agencies, that downside appears to have finally won out. In a strategic and well-defended move, GroupM has agreed to stop buying into open exchanges, illustrating that agencies and advertisers should be building direct publisher relationships or working with trusted partners that leverage O&O/direct publisher inventory.

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Netflix reportedly planning Spain launch for 2015 » Digital TV Europe

Netflix reportedly planning Spain launch for 2015 » Digital TV Europe | Big Media (En & Fr) | Scoop.it

Netflix is due to launch in Spain in the last quarter of 2015, according to a report this week by Spanish news agency, Europa Press.

The report, which cites sources close to Netflix, said that the movie and TV streaming business is planning a second wave of major expansions in Europe in Q4 next year.

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Should publishers be taking better advantage of evergreen content in their archives? | Poynter.

Should publishers be taking better advantage of evergreen content in their archives? | Poynter. | Big Media (En & Fr) | Scoop.it

For most publishers, less than 10 percent of June page views came from traffic to evergreen articles — stories that were more than three days old byParse.ly’s definition.

Among the publishers included in the analytics company’s data: Upworthy, Conde Nast properties, The Atlantic properties, Fox News, The New York Post, Mashable, Slate, Business Insider, The Daily Beast, The Next Web and The New Republic.

Nearly half of the publishers see less than 5 percent of their web traffic attributed to content that is more than three days old, according to Parse.ly:

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Big Data Solutions Powering the Music Industry - Microsoft for Work

Big Data Solutions Powering the Music Industry - Microsoft for Work | Big Media (En & Fr) | Scoop.it

Big data, well-assembled, can provide a comprehensive picture of a business’ current landscape. It’s the smart business, however, that can manipulate that data and put it to work for them in the future.

The music industry had to smarten up before many other industries. They learned to repurpose an unprecedented amount of customer data to evolve to a changing marketplace, reimagining their marketing strategies. Today, for many businesses, there is much to be learned from the trail those music companies have blazed over the last ten years.

The music industry was one of the first hugely impacted by the Internet, with large-scale file sharing that affected music sales. After several years of fighting this change, the music industry embraced digital music sales—and to use the data produced to offer their customers what they want.

According to Alisa Olander, VP of Strategic Insights and Research at Universal Music Group, the world’s leading record company, data insights have made all the difference in improving marketing efforts:

“Today with big data, marrying both the [quantitative] and qualitative research methods is really key. We collect so much data within a given day and it allows us to have a more intimate look at who our consumers really are, how they are consuming, their affinities and their path of purchase.”

For Olander, the greatest driving force behind change in the music industry is technology because it has affected how people engage, consume, and purchase music.

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Which Types of Ads Do College Students Pay Attention to?

Which Types of Ads Do College Students Pay Attention to? | Big Media (En & Fr) | Scoop.it
Much like the population-at-large, college students pay a considerable amount of attention to recommendations from friends and family. But beyond word-of-mouth, traditional
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Hearst is Building a “Netflix Model” Around Magazine Video Content | Beet.TV

Hearst is Building a “Netflix Model” Around Magazine Video Content | Beet.TV | Big Media (En & Fr) | Scoop.it

Hearst has just launched “Cosmo Body,” a daily fitness show which is advertiser-free and is  being offered on a subscription basis.  This is the first of what will be a number of Hearst titles and Hearst partners who will be part of a new “Netflix model,” explains Chris Grasso, SVP and GM of Hearst Digital Studios, in this video interview with Beet.TV

While the platform is presently free of advertising, the publisher will evaluate a range of  ”native” and brand integration partners.

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Big data et panels : de nouveaux modèles pour Médiamétrie, de nouvelles opportunités pour les médias

Big data et panels : de nouveaux modèles pour Médiamétrie, de nouvelles opportunités pour les médias | Big Media (En & Fr) | Scoop.it

Pas un jour ne passe, sur le Web, sans qu’il soit fait mention de la révolution que constitue l’accès aux «Big Data». Grâce au numérique, on dispose de volumes de données considérables, qu’il faut savoir stocker et traiter.

Quel est l’impact de ce changement de paradigme pour l’industrie de la publicité, du marketing, des médias et des études ? Les modèles d’analyse et de prévision sont-ils vraiment bouleversés ? Lorsque l’on se penche sur la réalité de ce changement technologique, comme a permis de le faire le séminaire organisé par l’IREP le 30 mai 2013, on nuance quelque peu l’ampleur de cette révolution. La seule question qui vaille, comme le signale Philippe Tassi, Directeur Général Adjoint de Médiamétrie et membre du Conseil scientifique de l’IREP, n’est-elle pas de savoir si, ou plutôt à quelles conditions, « bigger » signifie véritablement « better » ?

Le changement de paradigme de la donnée

L’accès à des données exhaustives sur un objet d’étude particulier n’est pas en soi une nouveauté. C’était même la règle qui prévalait jusqu’à la fin du XIXe siècle. Ce n’est qu’en 1895 que, le premier, Anders N. Kiaer, directeur de la Statistique du royaume de Norvège, expose les avantages de l’échantillonnage sur le recensement, à partir du cas de son pays, et en 1925 que la Commission Jensen confirme officiellement le bien-fondé et l’efficacité de cette approche. En 1936, George Gallup, élève du grand théoricien des sondages qu’est Jerzy Neyman, prévoit l’élection de Roosevelt à partir d’un échantillon de 3 000 personnes, à l’encontre de la méthode artisanale dite des « votes de paille ». Par le gain de temps et d’argent qu’il permet, l’échantillonnage s’impose alors comme la méthode de référence statistique du XXe siècle dans tous les domaines d’application.

À la fin du XXe siècle, grâce au numérique, on dispose de bases de données dont la volumétrie était jusque-là inimaginable. Les « Big Data » se présentent ainsi comme un retour possible à une forme d’exhaustivité. Non seulement l’étendue des données recueillies est considérable, mais leur fréquence peut aller jusqu’au temps réel. On observe tout et tout le temps. Les « Big Data » tirent leur intérêt, et la difficulté de leur traitement, de la capacité du numérique à fournir de gros volumes de données en instantané.

Des données enrichies

Il est aujourd’hui possible de connaître, par exemple, le nombre exact de visites d’un site, à chaque instant. Ces données, qui relèvent des « Big Data », ne peuvent néanmoins pas se substituer aux mesures par échantillonnage. Les informations fournies sont différentes, elles se complètent et se précisent l’une l’autre. Les panels apportent des indications très précieuses sur les individus et leurs comportements. Les « Big Data » offrent, quant à elles, des volumes d’informations considérables mais non structurées. Pour la mesure d’audience, réussir à traiter les « Big Data », c’est trouver le modèle qui permette de combiner ces deux types d’informations, pour fournir une mesure plus riche et plus précise.

Médiamétrie a ainsi mis en place de nouvelles mesures, pour l’Internet mobile et pour l’audience d’Internet fixe, tenant compte des apports de l’échantillonnage comme de l’exhaustivité. L’accès aux services Internet via le téléphone mobile prend appui sur l’exploitation des fichiers de logs des opérateurs. Ces données sont qualifiées par le suivi d’un panel de 10 000 personnes pour en enrichir l’analyse. Pour l’Internet fixe, l’approche choisie est celle dite « Panel-up » : c’est l’échantillonnage qui est le socle de la mesure. L’information exhaustive apportée par les « Big Data » est considérée comme une variable auxiliaire, qui permet d’améliorer l’étude. La mesure hybride de type panel-up est, depuis septembre 2012, la référence pour l’Internet fixe en France.

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The Toad Stool by Alan Wolk: The Spotifyization of Television: Towards A Newer, Better Business Model

The Toad Stool by Alan Wolk: The Spotifyization of Television: Towards A Newer, Better Business Model | Big Media (En & Fr) | Scoop.it

In the broad curve of technological change, the music industry has, for better and for worse, always been a few years ahead of the television industry. And while the very different business models between the two industries translates to very different disruption models, if you want to see where the future of television will net out, you need to look no further than Spotify. 

Spotify provides the answer to the question as to how we’re going to be watching TV: will everything be on demand, with viewers sifting through a huge catalog of shows to find something to watch that night. Or will there still be linear TV, where all the viewer is required to do is hit the “on” button and sink back on the couch. 

The answer, judging from the success of Spotify and similar services, is both. 

Spotify works because it solves all of the various use case scenarios its audience might have. 

If you feel like listening to a specific song, Spotify lets you do that, even providing alternate and cover versions. 

Feel like listening to a playlist you’ve made yourself, the latter-day version of the mixtape? You can do that too. 

Have a friend with really great taste in music and want to listen to their playlists? All you need to do is subscribe— the latter day version of the gifted mixtape. 

And finally, if you just want someone else to take over the controls, Spotify provides a variety of curated “radio stations” either through the app or via third party providers like SoundCloud and Rolling Stone. 

How does this translate for television? 

So if we look at how this plays out in television, we’ll soon see a very similar array of options.

1. Video on Demand (VoD)
 If there’s a particular show or movie you want to watch, you’ll be able to do a quick search and call it up. This will also allow for binge viewing, as you’ll be able to watch an entire season at once or just the 4 episodes that you missed. VOD viewing can be a quick half hour surgical strike, or a long evening of catch-up— whatever suits your mood.

2. Playlists
  Viewers will have their own playlists of TV series they are in the midst of watching, movies they’ve flagged for future viewing and/or repeats of their favorite shows. These will function like music playlists - one show plays right after the next, so there’s no need to go back to the program guide after every episode. 

3. Curated Playlists
  These can be from friends or from professional curators and may be around a specific topic: best crime dramas, best of CSI, best of 90s sitcoms— the possibilities are endless. Viewers can watch the entire playlist at once or just work their way through the list one at a time. 

4. Linear Stations  
These will function similar to the “radio” stations on music services today and will in large part be curated by today’s cable and broadcast networks. They will have original, first-run content that’s aired at a specific day and time. Users will be able to personalize them by, say, emphasizing certain types of content (e.g. comedies), but some version of prime time will remain in effect because there’s still a lot of love for a shared communal live viewing experience beyond just news and sports. 

5. Personalized Linear Stations These will be the oft-cited “Pandora for TV” - the viewer inputs some of the shows or types of shows they like and an algorithm puts together a personalized linear station for them, a combination of live broadcast, VoD and non-broadcast video from alternative providers. Users will be able to set up linear stations for short-form content, long-form content or both. 

6. Personalized Accounts While Spotify’s pay service is still in its nascency, we can see the outlines of how a system works where users are charged according to the number of devices they wish to access and the number of individual users they want on each account. This is the wave of the future and while it may not result in any significant financial savings for consumers, it will (finally) enable the roll out of true TV Everywhere. 

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Twitter apuesta al big data y mira a Marte | El Economista

Twitter apuesta al big data y mira a Marte | El Economista | Big Media (En & Fr) | Scoop.it

Mientras llega el día, esta red social, con 271 millones de usuarios activos al mes, enfoca sus investigaciones y desarrollo tecnológico en dos áreas: el análisis de grandes volúmenes de datos (big data)y en buscar maneras de que un tuit tenga un mayor alcance e impacto, un atractivo para los anunciantes que integran esta plataforma en su estrategia de mercadotecnia digital.

"Una de las grandes tendencias es el big data. Creo que veremos mucha innovación acerca de cómo interpretas la información, un área en la que no sólo Twitter sino todos los mercadólogos están hambrientos. También verás que haremos mucho para continuar expandiendo la influencia y el impacto de un simple Tweet", afirmó

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Yahoo Acquires Local Search App Zofari - Semanticweb.com

Yahoo Acquires Local Search App Zofari - Semanticweb.com | Big Media (En & Fr) | Scoop.it

Menchie Mendoza of TechTimes recently wrote, “Affectionately described as a ‘Pandora for places,’ Zofari’s acquisition seemed to have attracted less attention when the deal was announced last week. Zofari uses natural language processing, machine learning, and third party data to collect information that matches up the user with places which the user may find interesting. 

...

With inspiration coming from what Pandora did for music and what Netflix did for movies, the company believes that they have created a beautiful and powerful recommendation app that enables users to learn new places through previously made searches on familiar and personally liked restaurants, cafes and bars.”

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WeMOOCs: aplicación de la inteligencia colectiva y la Semántica a los MOOCs | Knowdle + Uned

 Sin duda alguna, los MOOCs, (Massive Open On-line Courses), ha sido un fenómeno emergente dentro de las múltiples herramientas formativas. Desde Knowdle, en colaboración con la UNED, hemos encontrado aplicaciones interesantes de nuestra tecnología. Os recomendamos este paper.

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Recommender Systems - past, present, and future

Recommender Systems - past, present, and future | Big Media (En & Fr) | Scoop.it

Recommender systems are among the most fun and profitable applications of data science in the big data world. Training data (corresponding to the historical search, browse, purchase, and customer feedback patterns of your customers) can be converted into golden opportunities for ROI (i.e.,Return On Innovation and Investment). The predictive analytics tools of data science yield a bonanza of mechanisms to engage your customers and enrich their customer experience. What better loyalty program can there be if not the one that offers the customer what they want before they ask (and sometimes, even before they think of it for themselves). Yes, we know of some cases that have gone bad (such as the secretly pregnant teen and the targeted coupons that Target sent to her father), and we recognize that there is a fine line between being intimate with your customers versus being intimidating, but usually people do like to receive offers for great products that they love. 

A new O’Reilly book (by Ted Dunning and Ellen Friedman) on Practical Machine Learning – Innovations in Recommendation  takes a look at the nuts & bolts, the mechanics and the implementation, and the theory and the practice of recommender engines. They describe the design of a simple recommender using Apache Mahout, based upon the co-occurrence analysis of customers' product purchases.


The book is available as a free download from the MapR website at:http://www.mapr.com/practical-machine-learning.
These are the chapters in the book:
  1. Practical Machine Learning
  2. Careful Simplification
  3. What I Do, Not What I Say
  4. Co-Occurrence and Recommendation
  5. Deploy the Recommender
  6. Example: Music Recommender
  7. Making it Better
  8. Lessons Learned
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What Are People Doing With Second Screens?

What Are People Doing With Second Screens? | Big Media (En & Fr) | Scoop.it

Rob Gelick, Senior Vice President and General Manager of CBS Interactive Digital Platforms, acknowledged that “engagement on the second-screen is now an established behavior for fans” in a recent interview with social TV website LostRemote.

According to a January 2014 survey conducted by the Consumer Electronics Association and National Association of Television Program Executives, 79% of respondents acknowledged that they utilize a second device.
In February 2014, Nielsen released similar findings, in that 84% of viewers utilize tablets and smartphones while sitting in front of the tube.
Telecom market analyst Infonetics Research discovered that 47% of pay-TV providers prefer tablets for multiscreen participation, and it is believed that will increase to around 89% by next year.
So, with all of these audience members regularly using tablets and smartphones, what specifically is capturing their attention on them?
Facebook and Twitter are two bulwarks that interest viewers. Social analytics agency SecondSync found that 60% of Facebook primetime programming interactions occur as a broadcast airs, but from an “intensity standpoint,” Twitter can claim the gold medal. The company learned in their own survey that viewers using Twitter had a 53% TV ad recall, as opposed to 40% who did not use second screens.
Nielsen’s January report revealed that large percentages of second-screen users fall into three main categories: web surfers, online shoppers and show information-seekers.
MEF, an international mobile content community, stated in their February 2014 Global Consumer Insights report which surveyed 10,000 respondents, that 69% of second-screen users made a purchase in 2013.

In TiVo’s 2013 Social Media and Multitasking Survey, 27%, the biggest share of viewers, reported using their devices to “search the Internet for information.”
For advertisers to successfully craft an experience around these behaviors, “a campaign needs to leverage social data, factor in location, and think about context and the emotional state of the consumer,” disclosed Michael Hayes, chief revenue officer and chief marketing officer at mobile advertising firm UberMedia.

Market research business Parks Associates found that 60% of second-screeners use their devices to watch anywhere from 1-5 hours of video per week, and estimate that in-app advertising revenues will be around $5.6 billion by 2017.
PricewaterhouseCoopers further discovered that 69% of users are willing to interact with a relevant mobile ad.

- See more at: http://blog.fyitelevision.com/2014/03/what-are-people-doing-with-second.html#sthash.avIiyON3.dpuf

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Les Jeunes et les Smartphones | Mediametrie

Les Jeunes et les Smartphones | Mediametrie | Big Media (En & Fr) | Scoop.it
Les 15-24 ans, qui représentent près de 12% de la population, sont 7,3 millions en France. La quasi-totalité est internaute et raffole des smart-phones à un point qu’on n’imagine peu communément. Un véritable plébiscite d’après la dernière enquête du Web Observatoire : près de 80% sont équipés.
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Social TV by the numbers in Canada | Seevibes Market Insight

Social TV by the numbers in Canada | Seevibes Market Insight | Big Media (En & Fr) | Scoop.it
Check out where the chatter is online, and which categories and shows are getting the most attention.


  • 65% of Canada’s 3.4 million Twitter users talk about TV on their profiles, while
  • 36% of Canada’s 15 million Facebook users do the same
  • 7 million TV viewers engaged on social media in the first quarter of 2014
  • 57 million interactions (comments, likes, shares, tweets, etc.) were generated in the same quarter
  • 77% of these interactions took place on Facebook, while
  • 23% were on Twitter

 

The social divide

  • 83% of the reality show convo is on Facebook, while
  • 67% of sports talk is on Twitter
  • 162 million impressions are generated each day by fans of The Ellen DeGeneres Show (making it the number one show in terms of impressions tracked by Seevibes)



Read more: http://strategyonline.ca/2014/07/15/social-tv-by-the-numbers/#ixzz38vys25Fd


Via Mattia Nicoletti, Ludovic Bostral
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How to Optimize Your Content Strategy With Social Listening

How to Optimize Your Content Strategy With Social Listening | Big Media (En & Fr) | Scoop.it
Social media monitoriing can do much more than inform your social strategy. Here's how it can also help you optimize your content strategy.


This type of thinking is applicable to almost all businesses. If you understand what your customers are saying, what they need, and how they want to get it, you can craft the right content that meets their needs.

Unfortunately, just publishing great content isn't enough. You must also leverage social listening, content marketing, and SEO to ensure your audience reaches your content. But having an understanding of your audience and what they need is the first step.

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What Are Personalizations Biggest Challenges and Opportunities?

What Are Personalizations Biggest Challenges and Opportunities? | Big Media (En & Fr) | Scoop.it

Personalization is an area of growing importance, recently found to be US digital marketers’ most important future area. Yet research indicates that marketers continue to struggle with it, and many industry respondents have trouble linking data to individual customer profiles. A couple of recent studies – one from Experian Data Quality [download page] and the othercommissioned by Janrain [download page] and conducted by Forrester Consulting – take a closer look at the use of personalization and its associated challenges.

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2014 World Cup: A Global Mobile Perspective

2014 World Cup: A Global Mobile Perspective | Big Media (En & Fr) | Scoop.it

Smartphone-owning soccer fans across the globe expect their mobile devices to take on a pivotal role when it comes to their FIFA World Cup 2014 experience, according to “2014 World Cup: A Global Mobile Perspective,” a landmark international study from IAB. Querying sports enthusiasts from 11 markets – Australia, Brazil, China, Colombia, France, Ireland, Italy, Japan, Mexico and the United Kingdom, as well as the United States – who have smartphones and plan to follow the tournament, the survey reveals that 48 percent overall plan to use their phones to follow the World Cup, second only to TV (63%) when it comes to media channels for keeping up with the game.

Spotlighting a strong opportunity to reach these soccer/football fans through mobile marketing, the research shows that 37 percent are already positively interacting with mobile ads on a daily basis. Moreover, respondents that self-identify as a “football fanatic” – saying that they watch or follow as much soccer as possible, no matter the team, league or country – are even more likely to click on or engage with mobile ads at least once a day (50%).

Signs point to mobile video being a major driver of mobile use, and a potential revenue stream as well, with more than two-thirds (68%) willing to pay for video of game-related content on their phones. In addition, 66 percent expect to share their excitement surrounding the tournament via social media through their smartphones.

The study also demonstrates the importance of dual-screening on television and mobile devices, with 35 percent of fans surveyed anticipating that they will be turning to their mobile phones for game-related activities throughout watching the game on TV.

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6 conseils pour innover (d'après Clayton M. Christensen) | Christophe Rufin

6 conseils pour innover (d'après Clayton M. Christensen) | Christophe Rufin | Big Media (En & Fr) | Scoop.it

Peut-on encore créer des innovations de rupture en France? C'est la question à laquelle Clayton M. Christensen était venu répondre fin juin, à l'occasion d'un cycle de conférences organisé par l'école Polytechnique.

Oui c'est possible, à condition de prendre en compte les 6 points suivants :1. L’innovation s’installe par le bas du marché2. L’innovation transformationnelle est le seul véritable moteur de croissance économique3. Pour introduire une nouvelle technologie, il faut cibler un nouveau marché, pas une substitution de technologies sur un marché existant…4. Pour prédire si une innovation va rencontrer son marché, il faut analyser les tâches que le consommateur final doit accomplir (indépendamment de tout produit ou service existant)5. La mise en place d’une stratégie d’innovation suit un processus structuré6. L’analyse financière est systématiquement biaisée à l'encontre de l’innovation



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Innovation au New York Times, la version française | Nouvelle formule - Lexpress

Innovation au New York Times, la version française | Nouvelle formule - Lexpress | Big Media (En & Fr) | Scoop.it

Il y a quelques semaines, le New York Times a laissé fuiter l’un des documents les plus passionnants de l’année sur la révolution numérique et la difficile mutation du journalisme, des journalistes et des titres qui les font travailler.J’ai déjà dit ici tout ce que nous avions à gagner, à L’Express mais pas seulement, à une lecture attentive des 96 pages de ce rapport. Mes chefs m’ont entendu et commandé une synthèse, de 13 pages et en français, que j’ai enrichie de quelques remarques sur les leçons applicables au journal et au groupe.

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