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bruley

bruley

Marketing and information system expert I have tackled these domains from various positions and at Teradata (see my eBook on my blog below).http://www.decideo.fr/bruley/

Ses blogs

Bruley's Blog

Bruley's Blog

This blog is dedicated to Data Warehousing & Big Data. It proposes articles, presentations on key topics that will interest enterprises which want to do more with their data.
bruley bruley
Articles : 29
Depuis : 01/12/2011
Categorie : Technologie & Science

Articles à découvrir

Big Data series #7: Social CRM

Social CRM is a business strategy, supported by a technology platform, business rules, workflow, processes and social characteristics, designed to engage the customer in a collaborative conversation in order to provide mutually beneficial value in a trusted and transparent business environment. It's the company's response to the customer ownership

What Big Data means at LinkedIn?

LinkedIn was founded in 2003, is currently revenue 243 million and employs 1797 people. This is not what we call a large company. However, LinkedIn has 175 million members in 200 countries including 50% outside the U.S., two new members join the network every second, and analysts said that all "executive" of the Global 500 are members. Under these

Did your business intelligence experts have the right tools for text analytics?

Companies are looking increasingly to take advantage of Big Data, especially textual information, those generated via user tools by web or desktop applications. The analysts specialized in this subject believe that 70% of information of interest to business are nestled in word documents, excel, email, etc. These data are not predefined in a model a

Big Data means to support Buzz Marketing actions

What is buzz marketing? In the strict sense of the term, buzz marketing is creating noise around a product, service, company or brand. For example you can recruit consumers, preferably proactive volunteers who influence their peers, and help them to try your products in good condition before pushing them to talk about their experience. The buzz is

Big Data series #8: Churn

If you attract thousands of new customers this is worthless if an equal number leaves. Minimizing customer churn is surely a smart objective. But how can I predict when my customers will churn and did Big Data could help? Facing this topic I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. The attac

Big Data series #6: Marketing Attribution

Today’s organizations are challenged to gain insight into most productive marketing and sales actions across multiple channels they use. Doing this requires multi-channel marketing attribution approach. Facing this topic I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. The attached presentation

Big Data: Hadoop is not the universal panacea

~~IT market studies expert indicate that the advanced analysis of various data and the management of an increasing volume of data, are among the five priorities large enterprises CIOs and companies at the forefront of the world of internet. Big Data is thus increasingly important, and a growing number of companies complete their decision-making inf

Big Data Social Network Analysis fuelling Marketing improvement

A social network is a social structure that links actors (individuals and organizations), and highlights how actors are connected, from a simple relationship to family ties. We are all part of many networks that correspond to the dimensions of our life (family, study, work, leisure activities). Our membership, our activities, our place in these net

Did your business intelligence experts have the right tools for text analytics?

Companies are looking increasingly to take advantage of Big Data, especially textual information, those generated via user tools by web or desktop applications. The analysts specialized in this subject believe that 70% of information of interest to business are nestled in word documents, excel, email, etc. These data are not predefined in a model a

Big Data: opinions & sentiments analysis

Analyzes of texts put lights in two main types of information “facts and opinions”. Most current treatment methods of textual information aim to extract and use factual information, this is the case for example of research we do on the web. Analysis of opinions is concerned about feelings and emotions expressed in the texts, it has grown much t