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Resumen:
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 (...)
Extracto del documento de
data mining analysis:
Data mining and predictive analysis applications can help you make knowledge-driven
decisions and improve efficiency. But the user adoption of the... ...
Publicado en:
2010-03-11
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Resumen:
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. (...)
Extracto del documento de
data mining analysis:
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be
able to discover valuab...
Publicado en:
2009-06-19
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Resumen:
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? (...)
Extracto del documento de
data mining analysis:
thinkAnalytics signs a partnering agreement with one of the largest information technology services companies in North America.
Why does CGI expe...
Publicado en:
2000-09-22
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Resumen:
With business units demanding more access to corporate data, IT is pressured to deliver. Yet current business intelligence
(BI) and data warehouse systems only examine specific quantifiable data. Find out how IT professionals can gain a better understanding
of how to integrate key information from text-b (...)
Extracto del documento de
data mining analysis:
Uncovering Insight Hidden in Text: How Unstructured Data Analysis Is Helping IT Deliver
Knowledge. Source: SAP. Document Type: White ...
Publicado en:
2010-03-11
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Resumen:
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. (...)
Extracto del documento de
data mining analysis:
SAS Institute has applied its data mining technology to the Internet. The company released products that will help companies
analyze and predict t...
Publicado en:
2000-03-27
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Resumen:
On any given day, your interactions with a few strategic customers will make a huge long-term difference. But which few customers?
A new type of analytic application, customer value management (CVM), answers the need to identify, analyze, and predict customer
behavior. Using CVM enables companies to shif (...)
Extracto del documento de
data mining analysis:
Bridging the CRM Analysis Gap. Source: Business ... customer relationships. Download <strong>Bridging
the CRM Analysis Gap</strong>. Comments: ...
Publicado en:
2010-03-11
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Resumen:
Informix released version 2.0 of their interactive data analysis dashboard Visionary. The tool is designed for decision-makers
and provides capabilities for viewing and analyzing dynamic data from a variety of sources. (...)
Extracto del documento de
data mining analysis:
Informix released version 2.0 of their interactive data analysis dashboard Visionary. The tool is designed for decision-makers
and provides capab...
Publicado en:
2000-04-20
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Resumen:
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 (...)
Extracto del documento de
data mining analysis:
Making Business-relevant Information Instantly Available to More Users. Source: SAP. Document Type: White Paper Description:
To stay ...
Publicado en:
2010-03-11
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Resumen:
Microsoft announced that they are running 20 critical internal systems, including their worldwide sales data warehouse, on
SQL Server 2000. In the vendor world, this is referred to as “eating your own dog food”. As is the case with all software
vendors lately, Microsoft is pushing e-commerce on the (...)
Extracto del documento de
data mining analysis:
... The algorithms are claimed to be extensible via OLE DB for Data Mining
(for more information see the TEC News Analysis, Microsoft Says OLE Data Mining:
Is it ...
Publicado en:
2000-05-12
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Resumen:
Commerce One has partnered with Sagent Technology to add analytic tools to its enterprise e-purchasing application. Also,
Ariba has partnered with Informatica to add analytic tools to its enterprise e-purchasing application. (...)
Extracto del documento de
data mining analysis:
Commerce One has partnered with Sagent Technology to add analytic tools to its enterprise e-purchasing application. Also,
Ariba has partnered with...
Publicado en:
2000-07-20
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Resumen:
Interelate, a customer intelligence ASP, recently announced partnerships with infrastructure service provider LoudCloud and
CRM analytics vendor E.piphany. These partnerships complement Interelate’s analytics expertise to provide new analytical
CRM service offerings that promise to provide more value (...)
Extracto del documento de
data mining analysis:
Interelate, a customer intelligence ASP, recently announced partnerships with infrastructure service provider LoudCloud and
CRM analytics vendor E...
Publicado en:
2000-09-15
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Resumen:
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. (...)
Extracto del documento de
data mining analysis:
Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool
for putting data to wo...
Publicado en:
2000-11-06
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Resumen:
Most small to midsize companies have found business intelligence (BI) solutions to be beyond their financial reach. But now,
you don’t have to rely only on spreadsheets for data visibility—with software-as-a-service (SaaS), BI can quickly and easily
be set up enterprise-wide. Find out five requiremen (...)
Extracto del documento de
data mining analysis:
... Find out five requirements of a scalable data warehouse strategy, for more effective
data analysis and better understanding of business performance. ...
Publicado en:
2010-03-11
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Resumen:
What are predictive analytics, and how are they used within business intelligence applications and for business performance
management? (...)
Extracto del documento de
data mining analysis:
... data with different variables, including clustering, decision trees, market basket analysis,
regression modeling, neural nets, genetic algorithms, text mining, ...
Publicado en:
2009-09-11
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Extracto del documento de
data mining analysis:
... segment. Some known uses of data mining are: fraud detection; quality
defect analysis; supply chain management (SCM); focused hiring. ...
Publicado en:
2008-05-08
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Resumen:
Business intelligence (BI), reporting, and analysis make your business applications more intelligent, more robust, more usable,
and ultimately more valuable to you and your end users. Read this white paper to learn about the far-reaching value that BI
reporting and analysis can quickly bring to your busi (...)
Extracto del documento de
data mining analysis:
... Source: LogiXML. Document Type: White Paper Description: Business intelligence (BI), reporting, and analysis
make your business applications more intelligent ...
Publicado en:
2010-03-11
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Resumen:
The advent of social networking sites can help shed light into the dynamics of customer demand. Retailers can choose to tap
into consumer sentiment as expressed on social media networks and get personal with the right customers through the use of
sophisticated technology to turn “unstructured” sentim (...)
Extracto del documento de
data mining analysis:
... networks and get personal with the right customers through the use of sophisticated technology to turn
“unstructured” sentiment into usable data that can ...
Publicado en:
2010-12-23
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Resumen:
This BI article looks at why and how in-memory technology transforms analytic applications. The primary bottleneck to high-performance
multidimensional analysis has been slow hard drive speed—the time it takes for data to be transferred from disk storage to
random access memory (RAM). With crashing RAM (...)
Extracto del documento de
data mining analysis:
... This can include multi-dimensional analysis or online analytical processing (OLAP),
statistical analysis, data mining, and text mining. ...
Publicado en:
2010-09-01
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Resumen:
By using software tools that help you forecast and work together with others inside your organization, and even with your
customers, the forecasts may become more accurate. You can make an assumption on how much improvement might be possible.
This part discusses the challenge of performing the data anal (...)
Extracto del documento de
data mining analysis:
By using software tools that help you forecast and work together with others inside your organization, and even with your
customers, the forecasts...
Publicado en:
2001-07-17
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Resumen:
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. (...)
Extracto del documento de
data mining analysis:
Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to
predictive analytics, ...
Publicado en:
2005-12-24