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Rescooped by michel verstrepen from Time to Learn
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Un service en ligne gratuit pour analyser les performances de votre site Web du point de vue utilisateurs

Un service en ligne gratuit pour analyser les performances de votre site Web du point de vue utilisateurs | business analyst | Scoop.it

Is your mobile and website delivering exceptional user experiences? Do you have a need for speed?

Take a FREE performance test today to find out. Your website evaluation will help you to:

  • Understand how your website is performing for mobile and web users
  • Analyze the performance impact of your website design
  • Know how your mobile and website speed compares to the best in your industry

Via Jean-Pierre Blanger, Frédéric DEBAILLEUL
Lucile Chanteloup's curator insight, November 20, 2014 4:11 AM

Un outil qui permet d'avoir une idée de l'expérience utilisateur sur un site mais qui ne remplacera pas l'écoute réelle des utilisateurs lors de tests. 

Rescooped by michel verstrepen from Learning today
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What is Analytics?

We asked several higher ed professionals what analytics means to them.

Via Maria João
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Rescooped by michel verstrepen from L'Univers du Cloud Computing dans le Monde et Ailleurs
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INFOGRAPHIC: CIOs & BIG DATA: What Your IT Team Wants You To Know | CloudTweaks

INFOGRAPHIC: CIOs & BIG DATA: What Your IT Team Wants You To Know | CloudTweaks | business analyst | Scoop.it

Via Peter Azzopardi, Patrick Bouillaud
Tony Agresta's curator insight, January 30, 2013 10:15 AM

Very interesting infographic.  Why do they fail?  For all of the reasons above and then some...    Over 80% of the data being collected today is unstructured and not readily stored in relational database technology burdened by complex extract, transform and load.  There's also pre-existing data, sometimes referred to as "dark data" that includes documents which need to be included and made discoverable for a host of reasons - compliance and regulatory issues are one.   Log activity and e-mail traffic used to detect cyber threats and mitigate risk through analysis of file transfers is yet another set of data that requires immediate attention.

 

Social and mobile are clearly channels that need to be addressed as organizations continue to mine data from the open web in support of CRM, product alerts, real time advertising options and more.  

 

To accomplish all of this, organizations need a platform with enterprise hardened technology that can ingest all of these forms of data in real time, without having to write complex schemas.   Getting back to the point - What do most projects fail?   If companies attempt to do this with technology that is not reliable, not durable and does not leverage the skills of their existing development organization, the project will fail.  

 

We have seen this time and time again.   MarkLogic to the rescue.   With over 350 customers and 500 big data applications, our Enterprise NoSQL approach mitigates the risk.  Why?  Our technology stack includes connectors to Hadoop, integration with leading analytics tools using SQL, Java and Rest APIs, JSON support, real time data ingestion, the ability to handle any form of data, alerting, in database analytics functions, high availability, replication, security and a lot more.  

 

When you match this technology with a world-class services organization with proven implementation skills, we can guarantee your next Big Data project will work.  We have done it hundreds of times with the largest companies in the world and very, very big data.

 

www.marklogic.com



Adrian Carr's curator insight, January 30, 2013 10:27 AM

This is a great infographic - it shows that whilst everyone is doing it (it being "Big Data" - whatever that is...), talent is rare, technology is hard to find and the projects never end.  A far cry from the speed with which companies such as the BBC deployed MarkLogic to serve all data for the sport websites through the Olympics.  Now that was big data, delivered by a talented team in a short space of time.

Rescooped by michel verstrepen from eCommerce Lab
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Le taux de rebond : comment l’analyser ?

Le taux de rebond : comment l’analyser ? | business analyst | Scoop.it

Le taux de rebond est un indicateur à ne pas interpréter isolément: le mettre en perspective avec d'autres données est indispensable pour faire en émerger le sens via le travail d'analyse.

 

Un haut taux de rebond n'est donc a priori ni bon ni mauvais...


Via Pierre Lelong
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