BigDataFr recommends: Analyzing the Panama Papers with Neo4j: Data Models, Queries & More As the world has seen, the International Consortium of Investigative Journalists (ICIJ) has exposed highly connected networks of offshore tax structures used by the world’s richest elites. These structures were uncovered from leaked financial documents and were analyzed by the journalists. They […]
Author: Big Data
[Data Science Central] BigDataFr recommends: 5 Obstacles Companies Face When Adopting a New Analytics Strategy
BigDataFr recommends: 5 Obstacles Companies Face When Adopting a New Analytics Strategy […] Analytics is a general term for a number of different processes, all of which are geared toward better understanding your demographics (or industry in general), and making improvements to your business’s infrastructure to account for those new insights. Unfortunately, whenever a company […]
[JDN] BigDataFr recommande : L’ogre Google va dévorer la smart city, et il vaut mieux s’y préparer
BigDataFr recommande: L’ogre Google va dévorer la smart city, et il vaut mieux s’y préparer […] Pour ceux qui auraient jusqu’alors réussi l’exploit de l’éviter, il faudra peut-être penser à abandonner le combat. Car après les navigateurs Internet, les boîtes mail et les smartphones, Google investit les villes. Et Sidewalk Labs, la filiale de la […]
[Analyticsbridge – Tutorial] BigDataFr recommends: Making data science accessible – Machine Learning – Tree Methods
BigDataFr recommends: Making data science accessible – MapReduce […] Tree methods are commonly used in data science to understand patterns within data and to build predictive models. The term Tree Methods covers a variety of techniques with different levels of complexity but my aim is to highlight three I find useful. To set the problem […]
[LMI] BigDataFr recommande : Harmonie Mutuelle lance son boitier de santé connecté avec Orange
BigDataFr recommande : Harmonie Mutuelle lance son boitier de santé connecté avec Orange […] Depuis des années, Orange travaille sur la e-santé (avec sa division Healthcare) et le MtoM (à travers sa filiale OAB, Orange applications for business). L’Internet des objets lui permet d’allier les deux. « Parmi les nombreux sujets que le digital impacte, […]
[Usine Nouvelle] BigDataFr recommande : BigDataFr recommande: Les gagnants et les perdants de l’entrée du big data dans les mines
BigDataFr recommande: Les gagnants et les perdants de l’entrée du big data dans les mines […]Pour prédire qui profitera, dans les industries extractives, de ce qu’offre la révolution de l’analyse des données tandis que d’autres resteront sur le bord de la route, plusieurs axes auraient pu être retenus. Au fil des discussions menées avec de […]
[Mc Kinsey – ITV] BigDataFr recommends: How companies are using big data and analytics
BigDataFr recommends: How companies are using big data and analytics […] Few dispute that organizations have more data than ever at their disposal. But actually deriving meaningful insights from that data—and converting knowledge into action—is easier said than done. We spoke with six senior leaders from major organizations and asked them about the challenges and […]
[Les Echos] BigDataFr recommande : Analyser le déluge de données, une aubaine pour les grandes entreprises
BigDataFr recommande : Analyser le déluge de données, une aubaine pour les grandes entreprises […] Prédire les pannes dans une usine, calculer l’impact de la création d’une nouvelle ligne de métro sur la densité d’un quartier, ou encore imaginer la voiture de vos rêves… Autant de sujets qui peuvent être traités par des algorithmes qui […]
[Analyticsvidhya] BigDataFr recommends: 15 Must Read Books for Entrepreneurs in Data Science
BigDataFr recommends: 15 Must Read Books for Entrepreneurs in Data Science […] The roots of entrepreneurship are old. But, the fruits were never so lucrative as they have been recently. Until 2010, not many of us had heard of the term ‘start-up’. And now, not a day goes by when business newspapers don’t quote them. There […]
[Dataconomy] BigDataFr recommends: 4 steps to neutralize a data scientist’s biggest threat #datascientist
BigDataFr recommends: 4 steps to neutralize a data scientist’s biggest threat […]There’s a scourge terrorizing data scientists and data science departments across the dataland. This plague infects even the best data scientists, causing missed deadlines, overrun budgets and undermined analyses. I call this beast “The Munge Monster.” The “Munge Monster” is the part of exploratory […]