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Abstract:
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be
able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand
the data mining process. (...)
Excerpt related to
data mining techniques:
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be
able to discover valuab...
Published:
2009-06-19
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Abstract:
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But
the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information
distribution, robust security, and other necessitie (...)
Excerpt related to
data mining techniques:
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data
Mining and Predictive Analytics to the Masses. Source: Microstrategy, Inc. ...
Published:
2010-03-11
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Excerpt related to
data mining techniques:
... I’ve decided to explore the reasons for using data mining techniques
in ERP systems—and to look at different modules to which these techniques have been ...
Published:
2008-05-08
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Abstract:
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. (...)
Excerpt related to
data mining techniques:
Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool
for putting data to wo...
Published:
2000-11-06
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Abstract:
SAS Institute has applied its data mining technology to the Internet. The company released products that will help companies
analyze and predict the behavior of Web surfers. The target customer is one with large volumes of enterprise data that come
from a variety of sources. (...)
Excerpt related to
data mining techniques:
SAS Institute has applied its data mining technology to the Internet. The company released products that will help companies
analyze and predict t...
Published:
2000-03-27
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Abstract:
If you’re not on top of the range of business intelligence (BI) functionality that has evolved over the past 15 years, this
framework can help. There’s a fundamental shortcoming in most BI tools today, as a single architecture cannot support the
full range of BI functionality—leading to excessi (...)
Excerpt related to
data mining techniques:
The Five Styles of Business Intelligence: Industrial-strength Business Intelligence. Source: Microstrategy, Inc. Document
Type: White ...
Published:
2010-03-11
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Abstract:
As the economic downturn deepens, there’s no shortage of advice on how your company is to survive—where to cut costs
and how to retrench the business. But despite the natural inclination to spend as little as possible, a recession might actually
be a great time to use market conditions to your ad (...)
Excerpt related to
data mining techniques:
No Time to Retreat: Seizing Opportunity in an Economic Downturn. Source: Sage. Document Type: White Paper Description: As
the economic ...
Published:
2010-03-11
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Abstract:
Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics
to predictive analytics, and predictive analytics is emerging as a distinct new software sector. (...)
Excerpt related to
data mining techniques:
Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to
predictive analytics, ...
Published:
2005-12-24
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Abstract:
Oracle Database 11g for Data Warehousing and Business Intelligence. Find RFP Templates and Other Solutions to Define Your
Project In Relation To Oracle Database, Data Warehousing and Business Intelligence. Oracle Database 11g is a database platform
for data warehousing and business intelligence (BI) that (...)
Excerpt related to
data mining techniques:
Oracle Database 11g for Data Warehousing and Business Intelligence. Find RFP Templates and Other Solutions to Define Your
Project In Relation To Or...
Published:
2010-03-11
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Abstract:
Enterprise applications have long been providing the means for businesses to collect required data and deliver it to the
right people. Now that sales and marketing professionals are empowered with the right tools to better serve their customers
and gather insights on all customers' interactions, the ques (...)
Excerpt related to
data mining techniques:
Enterprise applications have long been providing the means for businesses to collect required data and deliver it to the right
people. Now that sa...
Published:
2003-07-23
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Excerpt related to
data mining techniques:
... data available to companies for analysis. Substantial information can be gathered from
the Web and analyzed with sentiment analysis and text mining techniques, ...
Published:
2011-02-23
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Abstract:
Data, Data Everywhere: a Special Report on Managing Information. Explore data management with sap netweaver MDM. Free white
paper. The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult
enough. Analyzing it, to spot patterns and extract useful (...)
Excerpt related to
data mining techniques:
Data, Data Everywhere: a Special Report on Managing Information. Explore data management with sap netweaver MDM. Free white
paper. The quantity of ...
Published:
2010-05-19
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Excerpt related to
data mining techniques:
... So, data mining applications use a set of techniques
to detect specific “patterns” or relations within the data, and the financial field seems to be an ...
Published:
2011-04-01
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Abstract:
thinkAnalytics signs a partnering agreement with one of the largest information technology services companies in North America.
Why does CGI expect thinkAnalytics’ software to make a difference to its customers? (...)
Excerpt related to
data mining techniques:
thinkAnalytics signs a partnering agreement with one of the largest information technology services companies in North America.
Why does CGI expe...
Published:
2000-09-22
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Abstract:
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing
a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed. (...)
Excerpt related to
data mining techniques:
Distilling Data: The Importance of Data Quality in Business Intelligence. ...
There are simple best practices that can help limit the extent of inaccurate data. ...
Published:
2009-07-17
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Abstract:
E-mail Clustering and Cloud E-mail Services.Search for White Papers and Other Software to Delineate Your Evaluation of E-mail
Clustering and Cloud E-mail Services. There has been a lot of buzz about the new cloud computing paradigm. But can cloud computing
offer the same benefits as clustering? Find out m (...)
Excerpt related to
data mining techniques:
E-mail Clustering and Cloud E-mail Services.Search for White Papers and Other Software to Delineate Your Evaluation of E-mail
Clustering and Cloud ...
Published:
2010-03-11
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Abstract:
Business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process by allowing
a company to manipulate corporate data for decision-making. But what exactly are the primary components of BI? (...)
Excerpt related to
data mining techniques:
Contemporary Business Intelligence and Its Main Components. TEC Analysts - March 23, 2009. Comments: 0. Read Comments.
Published:
2009-03-23
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Abstract:
The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing,
business intelligence, and performance management. These conferences supply a wealth of information aimed at improving organizational
decision-making, optimizing performance, and ac (...)
Excerpt related to
data mining techniques:
... of planned networking events, a two-day trade show highlighting various vendor offerings, and classes
ranging from data warehousing testing techniques to best ...
Published:
2006-10-25
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Abstract:
SAS Institute has been successful, moving beyond a business intelligence. Lately, it has lately focused on sustaining its
technology leadership, expanding in some vertical markets, and becoming more attentive to the low-end market. (...)
Excerpt related to
data mining techniques:
SAS Institute has been successful, moving beyond a business intelligence. Lately, it has lately focused on sustaining its
technology leadership, e...
Published:
2005-08-10
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Abstract:
To stay competitive, organizations must constantly review the status of their projects, and make rapid decisions about which
should continue, which should change, and which are worth launching. To make these choices they need easy access to up-to-date
business-relevant information. Learn about business i (...)
Excerpt related to
data mining techniques:
Making Business-relevant Information Instantly Available to More Users. Source: SAP. Document Type: White Paper Description:
To stay ...
Published:
2010-03-11