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Documents related to » data mining thesis 2009


2009 May » The TEC Blog


DATA MINING THESIS 2009: TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
29-05-2009

2009 April » The TEC Blog


DATA MINING THESIS 2009: TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
28-04-2009

2009 August » The TEC Blog


DATA MINING THESIS 2009: TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
28-08-2009

2009 June » The TEC Blog


DATA MINING THESIS 2009: TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
30-06-2009

And the Real ERP Is… » The TEC Blog
include best practices in data flow for the industry that the organization works. Cheryl Marsh on 11 May, 2009 at 9:25 am # Too bad none of the contestants thought it would be worthwhile to explain what ERP stood for. Al-Ve on 11 May, 2009 at 10:06 am # We have many promises from 60’s. ERP is another promise for the total accounting automatic system. For me it’s a expensive accounting system. Of course.. any company in the world turn around the money. But are the process-persons mature for use and

DATA MINING THESIS 2009: contest, defining ERP, ERP, ERP comparison, Software Selection, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
06-05-2009

New Data Protection Strategies
One of the greatest challenges facing organizations is protecting corporate data. The issues that complicate data protection are compounded by increasing demand for data capacity, and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment, which impact infrastructure. IT organizations must meet these demands while maintaining flat budgets. Find out how.

DATA MINING THESIS 2009: New Data Protection Strategies New Data Protection Strategies Source: IBM Document Type: White Paper Description: One of the greatest challenges facing organizations is protecting corporate data. The issues that complicate data protection are compounded by increasing demand for data capacity, and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment, which impact infrastructure. IT organizations must meet these demands while maintaining
4/23/2010 5:47:00 PM

The Path to Healthy Data Governance
TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement. Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex corporate view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

DATA MINING THESIS 2009: The Path to Healthy Data Governance The Path to Healthy Data Governance Jorge García - October 13, 2011 Read Comments This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s
10/14/2011 10:12:00 AM

Data Mining: The Brains Behind eCRM
Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data mining is a set of techniques for automating the exploration of data and uncovering hidden truths.

DATA MINING THESIS 2009: of products and services. Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. What is eCRM? Customer Relationship Management is an information industry term for methodologies and software that help companies manage customer relationships in a structured way. For example, an enterprise might build a database about its customers that describe relationships in sufficient detail. Ideally, the information in the
11/6/2000

Survey Question of the Day » The TEC Blog


DATA MINING THESIS 2009: it outsourcing, SaaS, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
04-02-2009

Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization
Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization. Search for IT Report or IT Guide for a Network Data Protection Playbook. Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.

DATA MINING THESIS 2009: Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization Source: CipherOptics Document Type: White Paper Description: Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses.
7/20/2007 1:32:00 PM

Logs: Data Warehouse Style
Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency.

DATA MINING THESIS 2009: Logs: Data Warehouse Style Logs: Data Warehouse Style Source: LogLogic Document Type: White Paper Description: Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled
2/8/2008 1:14:00 PM


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