What is Open Source R. During the last decade, the momentum coming from both academia and industry has lifted the R programming language to become the single most important tool for computational statistics, visualization and data science.
Worldwide, millions of statisticians and data scientists use R to solve their most challenging problems in fields ranging from computational biology to quantitative marketing. R has become the most popular language for data science and an essential tool for Finance and analytics-driven companies such as Google, Facebook, and LinkedIn. Watch this 90 second video for an introduction to R This video is free to download, remix and share! The story behind Opera’s $84M big data funding — Cloud Computing News.
Predictive analytics provider Opera Solutions has raised $84 million from equity investors in its first-ever funding round, but that amount shouldn’t be surprising for anyone familiar with the company.
When I profiled Opera in May, I called it the big data expert you’ve never heard of. It looks like that’s about to change. Opera’s story Opera has been flying under the radar, but it hasn’t exactly been struggling. Opera CEO Arnab Gupta told me in May that the company was already doing $100 million a year in revenue, growing fast since launching in 2004. According to the Wall Street Journal, the funding values the company at about $500 million.
Tutorial 1: Introducing Graph Data. Next: Introducing RDF The semantic web can seem unfamiliar and daunting territory at first.
If you're eager to understand what the semantic web is and how it works, you must first understand how it stores data. We start from the ground up by outlining the graph database - the data storage model used by the semantic web. After this tutorial, you should be able to: Describe in basic terms what the semantic web is.Experience the paradigm-shift of storing information as a graph database, rather than a hierarchical or relational database.Understand that the semantic web of data is defined using Resource Description Framework (RDF).Understand the basic principles of RDF statements and how they can define data graphs.
Neo4j: The Open Source, NOSQL Graph Database. Informatica masque et réplique le big data en temps réel. Informatica n’a pas chômé en cette période estivale.
CRM. CRM. The Future of Customer Relationships: Where is all this heading? Shifts in technology and human behavior are rapidly changing customer’s expectations of companies.
Things are moving so fast, that most executives are not only trying to catch up with the changes, but identify what some of the changes are. Understanding what those changes mean to each business is a more complicated matter altogether. Ross Dawson brilliantly lays out his observations of the mega trends happening around us in the charts below. Two growing and intertwining concepts (influence and reputation) are rapidly gaining ground and creating controversy as to their accuracy, adaptability, and use. There is a growing gap between those who believe that these scores and algorithms are the key to priority and leverage, opening up the door for profitable arbitrage, and others that believe that this is the emergence of a new caste system based on false measurements. Dr. No1. No2. No3. No4.
No5. No6. No7. No8. No9. No10. No11. Retention Email Marketing For Dummies. Lp.unica.com/assets/pdfs/100513_Gartner_CRM Multichannel Campaign Management MQ.pdf. Présentation de Crème. Encore un nouveau CRM, avez-vous peut-être pensé lorsque vous avez entendu parler de Crème pour la première fois.
Pourquoi ont-ils développé un nouveau CRM alors qu'il en existe tant ? Cette question, on nous la pose souvent et elle est légitime. Pourquoi développer un nouvel outil alors qu'il en existe déjà beaucoup et que les outils existants fonctionnent plutôt bien ? Analyse de l'étude de Dolist sur les tendances 2011 de l’email marketing en France.
Dolist, en partenariat avec l'Aden, a récemment sorti les chiffres de son enquête "Pratiques & tendances 2011 de l'email marketing en France". 2ème édition de l'étude qui s'installe dans le paysage français comme l'une des rares enquêtes sur l'usage de l'emailing chez les professionnels du Emarketing.
Neolane. CDC Software - Pivotal CRM. Who it's for For organizations of all sizes What it solves Who are looking to take their business to the next level with CRM processes, including sales force, marketing, and service automation.
Implosion annoncée pour les systèmes CRM traditionnels. 5 of the Best Free and Open Source Data Mining Software. The process of extracting patterns from data is called data mining.
It is recognized as an essential tool by modern business since it is able to convert data into business intelligence thus giving an informational edge. At present, it is widely used in profiling practices, like surveillance, marketing, scientific discovery, and fraud detection. There are four kinds of tasks that are normally involve in Data mining: * Classification - the task of generalizing familiar structure to employ to new data* Clustering - the task of finding groups and structures in the data that are in some way or another the same, without using noted structures in the data.* Association rule learning - Looks for relationships between variables.* Regression - Aims to find a function that models the data with the slightest error.
Gestion de relation client : logiciels de crm pour PME et grands comptes. Les applications CRM en tête du marché des logiciels. Tirées par le modèle SaaS, les applications CRM pourraient connaître cette année la plus forte hausse du marché des logiciels, lequel devrait quant à lui bondir de 31%.
C'est ce que croit savoir Gartner.