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Data vs. Information (let’s define concepts)
Data vs. Information (let’s define concepts)
Walking through the woods, Luis and Juan observe a footprint on the ground. Luis says: “Look!, It’s a footprint, byits form and depth seems to be from a bear weighting about 300 kilos. It’s still fresh, this bear cannot be far away!” At that very moment both turn and a 300 kilos’ bear appears in front of them. Calmly, John sits on the floor and begins to tie their shoes laces, when Luis sees this, he asks, “but what are you doing John? Don’t you realize that this bear runs over 30 miles per hour? It is impossible to escape him!”. To which John calmly replies, “the thing is, that I don’t have to run faster than the bear, I just have to run faster than you...”
Walking through the woods, Luis and Juan observe a footprint on the ground. Luis says: “Look!, It’s a footprint, byits form and depth seems to be from a bear weighting about 300 kilos. It’s still fresh, this bear cannot be far away!” At that very moment both turn and a 300 kilos’ bear appears in front of them. Calmly, John sits on the floor and begins to tie their shoes laces, when Luis sees this, he asks, “but what are you doing John? Don’t you realize that this bear runs over 30 miles per hour? It is impossible to escape him!”. To which John calmly replies, “the thing is, that I don’t have to run faster than the bear, I just have to run faster than you...”
Our world is full of data everywhere, we have given very specific names and attributes, to the point that we could, for example, do a whole dissertation only on the letter "A". These data alone do not provide almost any or none useful information, until they are combined with techniques to transform them into information that used correctly makes a powerful, valuable and profitabletool. By itself, the data does not have the ability to communicate meaning, but may be associated with a context to become information, providing this way meaning, knowledge, ideas and conclusions that ultimately allow us to make a decision, such as tying shoes and run faster than Luis. Information Explosion The world produces 1.500 million Gigabytes of information per year, about 250 Mbytes per capita. 93% of the information is stored in digital form on hard drives on Personal Computers- Printed documents of all kinds, represent only 1% of the total. The printed knowledge doubles every eight years. In the last thirty years it has generated more information than in previous 5000 years. By December 2007 there were over 155 million websites. In April 1997 there were 1 million sites, in February 2000 became 10 million and in September of that same year, the number doubled, which in 2000 the record was registered. Ever since man began to “print” documents in caves it has been produced 18 billion Gigabytes, 12% of them in 2000.
“In the past, when knowledge was scarce, those who created it were heroes of the tribe and the librarians, their acolytes. But in an age of information overload, even the production and the distribution of knowledge is a playground. The editors hope that in the future I am willing to pay for special pieces of information; but I wonder if they are not very optimistic about that what I'm willing to pay when oceans of data collide against my door, is to filter this flood and filter what I need.” James O’Donnell University of Pennsylvania
Knowledge Management
Knowledge Management
Although there are many terms used frequently with marketing objectives as Business Intelligence (BI) or Knowledge Management, the reality is that they are named processes that mankind has done since its inception.
This way we find transfer knowledge acquired by word of mouth, as the stories that our parents told as when we were child, which, in turn learned it from theirs. Or how to cook a recipe, “grandma's recipe”.
In business, there are certain needs, such as: security, data collection, storage, new knowledge creation and reuse. In turn this has generated certain drawbacks like information overload, excess of generic information or absence of specialized information to a particular business process and the lack of effective and timely feedback.
Next lectures: What is BI
Next lectures: What is BI
BI is the company or organization data transformation into knowledge to gain competitive advantage. It is a set of methodologies, applications and technologies.
How?
How?
Collecting, filtering and transforming data from transactional systems and unstructured information (internal and external to the company) and transform it into structured information.
What for?
What for?
For direct use (reports, OLAP analysis, etc.) or for analysis and conversion, supporting informed decisions about the business.
Componentes.
Fases del descubrimiento de conocimiento
Selección de la técnica de minería de dato a utilizar
Etapas principales del proceso de minería
Herramientas de minería de datos
Algoritmos genéticos
Árbol de decisión
Clustering
Redes Neuronales
Canasta de mercados
Components.
Phases of knowledge discovery
Selecting the data mining technique to use
Main stages of the mining process
Data Mining Tools
Genetic Algorithms
Decision Tree
Clustering
Neural Networks
MarketBasket
References:
References:
Cerin@p (s.f.). Desarrollo de habilidades en información. [Presentación en línea] Disponible: http://www.slideshare.net/kokemon/habilidades-de-informacion (Consulta: Diciembre 2, 2009)
Eduteka (2006) La importancia de un modelo. [Documento en línea] Disponible: http://www.eduteka.org/comenedit.php3?ComEdID=0008 (Consulta: Diciembre 2, 2009)
Author: Rafael Urdaneta. Researcher @ AI Group – Palermo University
Translation: Lucas Dima. Researcher @ AI Group – Palermo University
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