We all know that the volume of data we’re producing in our daily lives is increasing all the time. From our collective addiction to social media and smartphones, to online banking and consumption of news, we’re constantly outputting a stream of tiny data points to companies that provide us with services.
Although this may be slightly disconcerting for some, there are undoubtedly many benefits to be gained from sharing data, and from companies using it in responsible ways.
The compaany welcomes its new Chief Product Officer from WalmartLabs and VP of Client Services from Microstrategy and Business Objects to support world-class clients in the march towards omnichannel personalization.
SAN FRANCISCO–RichRelevance®, the global leader in omnichannel personalization, today announced two key executive appointments with deep experience in data, analytics and retail personalization. Former WalmartLabs executive Mahesh Tyagarajan will serve as Chief Product Officer with full responsibility for product strategy and management, engineering and cloud operation and infrastructure. Microstrategy and Business Objects veteran John Dickson will be Vice President of Client Services where he will drive the continued expansion of RichRelevance’s position as the dominant provider of large-scale omnichannel personalization deployments around the world.
The High Street ‘dinosaur’ is going to bite back: those managing in-store operations will embrace new analytics technologies that make offline as smart as online. As a result, next-generation bricks and mortar stores will be equally as important and powerful as leading e-commerce sites, in terms of customer experience.” Adrian James, VP of sales and UK managing director, Walkbase.
“Virtual reality is set to take the customer experience to the next level with leading companies, including Facebook, recently making acquisitions to bolster their offerings in this area.
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In a recent Gartner report, we learned that 89 per cent of marketing leaders expect customer experience will be the primary basis for competitive differentiation by 2017. Customer experience is fast becoming the battleground where retailers vie for our attention and wallets. Shoppers are more promiscuous than ever before. They can easily switch between retailers in a heartbeat – depending on pricing and new product launches. Customers are more discerning and they now have much higher expectations. As a result, retailers find themselves in a race to provide an increasingly smooth, engaging and personalised shopping experience.
Les big datas sont partout… Mais comment les utilise-t-on ? Cas concret avec l’exemple de la Fnac qui a exposé sa méthode lors du Salon des Data à Paris. Une solution parmi d’autres à l’heure où les objets connectés compliquent la reconnaissance du client.
L’analyse prédictive, plus perspicace que le flair d’un commerçant? La plupart des grands distributeurs leur font en tout cas confiance pour tirer de leurs “grandes données” de quoi augmenter leurs ventes.
De quoi a besoin tout créateur de start-up pour survivre aux angoisses nocturnes et pour que son entreprise prospère au grand jour ?
« Tu accordes trop d’importance à des choses qui n’en valent pas la peine. » Voilà ce qu’avait répondu James Hong (business angel, endurci et fondateur de HotorNot) à un de mes articles sur la solitude des entrepreneurs, écrit il y a maintenant deux ans. J’avais écrit cet article en réaction au battage médiatique de la Silicon Valley et aux histoires hors du commun de ses entrepreneurs, avec l’intention de rompre avec l’idée reçue selon laquelle les créateurs d’entreprise sont toujours des individus «hors normes ».
Analytics has always been the sexy bit of data management. That’s where the nuggets of insight are teased to the surfaced and millions made by understanding why diapers sell beer or who is newly pregnant or how to route a jet so it burns 25% less fuel. But, behind that, there has always been the grunt work of extracting data from multiple, disparate sources, cleansing it of partial or bogus records, transforming it into a consistent and usable format, and loading it into the target analytics engine.
Lancôme, leader mondial du secteur des produits de beauté, propose une personnalisation en ligne ses clients. La marque innove par la possibilité de construction complète et sur-mesure de son look, à partir de ses produits cosmétiques.
Lancôme s’est associée à RichRelevance pour élaborer cette innovation digitale. Ainsi chaque client peut utiliser les produits cosmétiques Lancôme pour personnaliser son look, selon ses préférences et l’expertise de la marque. Le site propose ainsi des produits en fonction du teint du client, et d’assortiments réalisés par ces experts.