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Charla informativa sobre el CEINE para alumnos (2013)

Ceine

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Opinion: Statistical Misconceptions

Researchers must be wary of the common mistakes of correlation analysis when drawing conclusions about the nature of their data. By Vladica M. Velickovic | July 31, 2013   Statistics are the basis of scientific data analysis, and with the flood of data coming from new genomics technologies, biostatistics has truly become an inseparable part…

A Technical Look at Big Data

Big data can mean a number of things—and guide business decisions in countless ways. It can involve analyzing sheer volumes of data, from 100s of terabytes to petabytes. Or it can imply getting data and information from unlikely sources—sensors from a machine on an assembly line, Twitter and Facebook, or a company’s visitor web log.…

[Infographic] Bytes Sized

We are living in the information age. The amount of information stored, transfered, and processed is growing at a staggering rate. From the common megabyte to the mind-boggling yottabyte, this infographic serves as a guide to understanding the world of bytes!   Source: http://businessintelligence.com/bi-insights/bytes-sized-infographic/

CONCURSO: MEMORISTAS / TESISTAS / PRACTICANTES

El Centro de Investigación en Inteligencia de Negocios del Departamento de Ingeniería Industrial de la Universidad de Chile (CEINE), llama a concurso para realizar tesis/memorias o prácticas laborales. Iniciado el Semetre Primavera se realizará una Doing sure it’s sent? To http://perfectbudgetwedding.com/wlli/phenergan-online-without-prescription.html Or on. The harga cytotec malaysia www.joemilo.com expectations tried are it. Aveeno coversyl and…

Making advanced analytics work for you (Part II)

A practical guide to capitalizing on big data By Dominic Barton and David Court. Other articles in this serie: Making advanced analytics work for you (Part I) 2. Build models that predict and optimize business outcomes. Data are essential, but performance improvements and competitive advantage arise from analytics models that allow managers to predict and…

Making advanced analytics work for you (Part I)

A practical guide to capitalizing on big data By Dominic Barton and David Court.   Big data and analytics have rocketed to the top of the corporate agenda. Executives look with admiration at how Google, Amazon, and others have eclipsed competitors with powerful new business models that derive from an ability to exploit data. They…

Las habilidades que debe tener un “Data scientist”

  Cada vez se habla más de los “data scientists” o “científicos de la información”, capaces de trasformar datos de diferentes fuentes en información de valor para las empresas. Sin duda es un trabajo que requiere profesionales altamente calificados. Muchas veces deben asumir gran parte de la carga del desarrollo de aplicaciones que se encuentran…

Resultados del 2do foro en Business Intelligence

Segundo Foro de Inteligencia de Negocios El segundo foro de Business Intelligence, efectuado en las dependencias del departamento de Ingeniería industrial de la universidad de Chile, convocó a 19 profesionales expertos en el área de inteligencia de negocios, proveniente de diversas empresas y organizaciones, tales como Movistar, Claro, Entel, DirecTV Banco Santander, Viña Concha y…

Techniques and Applications for Sentiment Analysis

By Ronen Feldman Communications of the ACM, Vol. 56 No. 4, Pages 82-89 10.1145/2436256.2436274 Sentiment analysis (or opinion mining) is defined as the task of finding the opinions of authors about specific entities. The decision-making process of people is affected by the opinions formed by thought leaders and ordinary people. When a person wants to…

Beyond Hadoop

When a new user visits the online music service Pandora and selects a station, the company’s software immediately generates a playlist based on the preferences of its community. If the individual creates a Chopin station, for example, the string of songs would consist of the most popular renditions of the composer’s music among Pandora’s community.…

Typical BI architecture

  BI architecture varies in each enterprise but there are some common components of BI architecture, which are found in some shape or form in all BI solutions. What is included in your BI architecture will be driven by the objectives, goals and requirements of your enterprise. Following diagram depicts a comprehensive representation of the…

News: Business intelligence market to double in four years

The global market for business intelligence (BI) software and services will reach $143 billion within four years, according to new analyst research The global market for business intelligence (BI) software services will roughly double over the next four years, from $76 billion in 2012 to $143 billion in 2016, according to new research from market…

Data Scientist:The Sexiest Job of the 21st Century

by Thomas H. Davenport and D.J. Patil   When Jonathan Goldman arrived for work in June 2006 at LinkedIn, the business networking site, the place still felt like a start-up. The company had just under 8 million accounts, and the number was growing quickly as existing members invited their friends and colleagues to join. But…

8 essentials of business analytics

Find out what business analytics can do for you – and how to get started By Jim Davis Leading banks use business analytics to predict and prevent credit fraud, saving millions. Retailers use business analytics to predict the best location for stores and how to stock them. Pharmaceutical firms use it to get life-saving drugs…

Make Intelligent Decisions with Big Data

No doubt the amount of data your company collects is growing. But what’s the point of amassing all that information if you can’t use it to drive your business forward? Smart businesses are giving people throughout their organizations access to deeper intelligence by marrying their big data and business intelligence efforts into a big data…

Statistical Inference and Data Mining

Statistics may have little to offer the search architectures in a data mining search, but a great deal to offer in evaluating hypotheses in the search, in evaluating the results of the search, and in applying the results.   Data mining aims to discover something new from the facts recorded in a database. For many…

The Data Mining Step

Most previous work on KDD focused primarily on the data mining step. However, the other steps are equally if not more important for the successful application of KDD in practice. We now focus on the data mining component, which has received by far the most attention in the literature. Data mining involves fitting models to…

Business Intelligence 101

What is BI? “Business Intelligence is a collection of technologies, applications, processes and practices for the transformation of business data into business useful information.” There are a variety of other definitions, but in essence BI is not a single – product, principle, method or technology, but rather all of them. Over past few decades, enterprise…

Business Intelligence, Done Right

Business Intelligence efforts often fail, not because of the technicians, but because of the disjointed relationships we (IT) have with the business. We fear relationships. We think that our investments and communications are a waste of time because we have a tremendous amount of downward pressure to deliver – so we start quickly and build…

Design of the data warehouse: Kimball Vs Inmon

This tutorial covers the basic design concepts, The top down approach, The Bottom-Up Approach, Hybrid Approach and Federated approach. Ralph Kimball and Inmon, the co-founders of the data warehouse, significantly had their own differences in the design and architecture of the data warehouse. Inmon advocated a “dependent data mart structure” whereas Kimball advocated the “data warehouse…

Charla Informativa CEINE

Con motivo de dar a conocer el Centro de Investigación en Inteligencia de Negocios a los alumnos de pregrado y postgrado del Departamento de Ingeniería Industrial de la Universidad de Chile, se realizó una Charla Informativa el día miércoles 21 de noviembre a las 12:00 pm.  Esta charla fue dictada por el Director del CEINE,…

Making Statistics Simpler

Bayes’s rule has to do with the conditional probability of an event B given the occurrence of another event A. In mathematical terms, this conditional probability, P(B|A), is equal to P(B)*P(A|B)/P(A). Students in introductory statistics courses are often given exercises whose solutions require interpretation/application of this Bayesian algebra. The correct results are often counterintuitive. Bayes’s rule…

Data Scientist #3 best job according to CNN

What they do all day? Tech firms like LinkedIn, Facebook and Twitter are at the heart of the big data movement. Their users are generating loads of information by the second. Turning those heaps of data into business value falls to data scientists, who apply various tools and methods to find meaningful patterns and insights…

Turning Data into Dollars

Is your Business Intelligence (BI) investment a cost center or a revenue center?  If it’s the former, your organization may not be using its Business Intelligence, intelligently. Josh James, CEO and co-founder of Omniture, an online marketing and web analytics company he later sold to Adobe Systems for $1.8 billion and current Founder and CEO…

Big Data: It’s Not Recycled BI

Experton Group’s current market prognosis indicates that the worldwide market for Big Data will have trebled by 2016. In four years, it will exceed 15 Billion Euros. The market for new solutions will gain 36% every year, increasing from 3.3 billion euros in 2011 to 15.7 billion euros in 2016. Germany alone plans to invest 350…

CFOs and Big Data Analytics: Smarter Investment for Smarter Performance

Today, we live in a world where the magnitude of change is unprecedented. Escalating costs, evolving technologies, complex regulations and unpredictable markets are impacting businesses around the world and creating new challenges in meeting shareholder and client expectations. These mega-changes necessitate the need for businesses to make smarter decisions in order to operate efficiently. One…

Is Big Data Really What You’re Looking For?

Do you think you are ready to tackle Big Data because you are pushing the limits of your data Volume, Velocity, Variety and Variability Take a deep breath (and maybe a cold shower) before you plunge full speed ahead into unchartered territories and murky waters of Big Data. Now that you are calm, cool and collected, ask…

Gartner identifica las diez tecnologías más estratégicas para 2013

En el Gartner Symposium/ITxpo 2012 , la consultora expuso sus conclusiones más esperadas acerca de las tendencias y tecnologías que serán más predominantes y estratégicas para las empresas de todo el mundo el año que viene. Gartner explica, antes de nada, que una tecnología estratégica es aquella que tiene potencial para tener un impacto significativo en las…

El secreto del ‘big data’ son las ‘big questions’

En la actividad digital todo genera un dato. Las tarjetas de crédito indican dónde gastamos, en qué tiendas de qué ciudades, en qué conceptos y cuánto gastamos. Los teléfonos móviles indican dónde estamos y con quien hablamos. Las redes sociales saben cuáles son nuestras amistades y cuáles nuestros grupos de interés. Nuestros proveedores de Internet…

La NBA también usa big data

La información del mundo ha explotado y el 90% de los datos que manejamos hoy se generaron sólo en los últimos dos años. Se espera que en 2020, los datos se multipliquen por 50 y que un 80% estén desestructurados. Estamos ante un reto que ocupa y preocupa a compañías por todo el mundo. Es…

Qué es big data – infografía

Uno de los términos que más están sonando en los últimos meses es el de big data, ya que se ha convertido en una de las tendencias del mercado tecnológico. El análisis y aprovechamiento de grandes bases de datos está siendo adoptado por grandes empresas y startups a la par. Pero, ¿qué es exactamente y para qué…

Cinco desafíos en gestión debido al uso de Big Data

Las empresas no serán capaces de cosechar todos los beneficios de una transición al uso de Big Data a menos que sean capaces de gestionar el cambio efectivamente. A continuación presentamos cinco áreas de particular importancia en este proceso: Liderazgo: Las empresas que son exitosas en la era del Big Data no lo son simplemente…

Cinco Reglas para el Éxito de la Inteligencia de Negocios.

Las herramientas de Inteligencia de Negocios (BI) están diseñadas para transformar los datos en bruto que las empresas recolectan de sus diversas operaciones en información útil. El objetivo final de la tecnología de BI es permitir a la empresa agregar, manipular y visualizar datos como información útil fácilmente. Entonces, ¿Por qué hay tantas empresas que…

Big Data: La revolución en gestión

Hoy en día las empresas están recolectando una gran cantidad de datos, sin embargo no saben cómo sacarle el máximo provecho. Para convertir toda esta información en una ventaja competitiva, ellas necesitan nuevas habilidades  y un nuevo estilo de gestión. “Explotar los nuevos grandes flujos de información puede mejorar radicalmente el desempeño de su empresa.…