Artículos IT, información y publicaciones sobre Data Mining

Últimas publicaciones destacadas en Dataprix sobre esta temática TIC

What's New in IBM Cognos 10 in the IBM Cognos Performance 2010

Average: 4.5 (1 vote)

IBM cognos 2010This week I attended the IBM Cognos Performance 2010 in Barcelona with the main objective to know more about the new features of IBM Cognos 10, the new version of this suite of Business Intelligence.

The event had as main thread presenting this new version of IBM Cognos, but also included broader sessions, with topics such as corporate performance management, analysis, 'What-if' and other arrangements under financial, Business Insight and predictive analytics, and case studies.

After the initial presentation, two meetings were progressing in parallel, one oriented to technology and other business. There was a choice and I really would have liked to attend a further meeting. Specifically, I would have liked to be also in the 'What's new in IBM Cognos BI Authoring' and the SPSS Predictive Analytics..

 

Business Intelligence Forum 2010

Average: 3 (1 vote)

On Wednesday May 12 celebrated the 10th Forum of Business Intelligence, which has been Dataprix Media Partner and I had the opportunity to attend.

The event was quite interesting, and it was a good opportunity to learn first-hand opinions and impressions of deployments responsible for business intelligence projects.

I find it very appropriate that most of the interventions were responsible for the area of IT or business data warehouse, as the vision and how to communicate to the person who runs a project internally is often the most realistic and that can best explain the needs, problems and what actually can be considered at the level of business success or failure of a technology project.

 

Pervasive Business Intelligence Report

Average: 4 (1 vote)

Pervasive Business Intelligence could be translated as Omnipresent Business Intelligence, at least at the enterprise level. This is to make the BI system to reach all levels of the organization, at the right time, and the information needed for each. You can even include integration with other systems operating normally, and also provide interaction capabilities, not just access to information.

TDWI have done a study on the extent of introduction of the BI tools in business. Used as a basis a survey of over 700 people involved in BI projects and in-depth interviews with over 20 vendors and professional world of BI.

The results of this study is the report Pervasive Business Intelligence, Techniques and Technologies to Deploy BI on an Enterprise Scale, which way to summarize what I find most relevant:

Poll Results  

Adoption of BI tools and level of use

  • Adoption based on roles

Others who lead the adoption of both ratios (allocation of licenses) and use of BI tools are the business analysts, followed by managers and executives.

The CRISP-DM Data Mining model

Average: 4 (1 vote)

In the post in our forum CRISP-DM to Spanish Translation Daniel Alejandro attached a document with a Castilian translation of the CRISP-DM methodology for developing data mining models.

 

The content of that seems so interesting to the community that we publish in the form of a manual online to make it more accessible to all members.Can be found by following the link Methodology CRISP-DM 1.0

 

Also enclose the original document in English from which Daniel has done the translation.

 

Data Mining Tools

Average: 3 (1 vote)

In electronic publishing MCData.ti can be found a fairly complete classification of different tools related to business intelligence and data management. 
This is the description that makes the tools of Data Mining

Data mining as a torture

Average: 3 (1 vote)

In the article Data Mining: torturing the data until they confess Luis Carlos Molina provides a very illuminating on data mining, including examples of interesting applications of it.

Article including the abstract and index, drawn from the same publication:

Summary: The title of this article is an informal explanation of the activity that makes a technology called data mining (data mining). The purpose of this technology is to discover hidden knowledge from large volumes of data. Over the past decade, due to large computational advances, has been incorporated to the organizations to become an essential support when making decisions. Organizations such as corporations, professional sports clubs, universities and governments, among others, make use of this technology as an aid in making their decisions. Some of these examples will be cited in this paper.

CONTENTS
1. Introduction
2. Data mining: concepts and history
3. Applications
    3.1. In government
    3.2. In the
    3.3. In college
    3.4. In space research
    3.5. In sports clubs
4. Extensions of data mining
    4.1. Web mining

Tools for implementation of a Data Warehouse

Average: 3 (1 vote)

There are many different companies that offer tools for the creation and operation of a Data Warehouse.
When it offers a complete suite, which covers the creation of the database to exploit the same for different profiles and targets, often seen as tools for Business Intelligence.
  • The Data Warehouse is implemented on a system provided database manager, and loads of data that are made on it from different backgrounds can use ETL tools, which allow to link the database with different origins, define transformations to be done for the integration of data, and schedule or automate regular loads. 
  • For operations using different tools, which can be classified according to the profile of the person who uses them.
    • The classic reporting tools are for users of different departments that need to operate in their daily work specific information.
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