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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 analytics:
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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Abstract:
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object
Model or COM) which supports a proprietary data mining specification. It is purported to extend the Structured Query Language
(SQL) to allow easier and faster incorporation of data (...)
Excerpt related to
data mining analytics:
Microsoft says OLE for Data Mining: Is it Bull? ... This approach may take
on greater importance in the marketplace, as data mining becomes more widespread. ...
Published:
2000-03-28
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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 analytics:
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:
What are predictive analytics, and how are they used within business intelligence applications and for business performance
management? (...)
Excerpt related to
data mining analytics:
... One of the main differences between data mining and predictive analytics
is that data mining can be a fully automated process, whereas predictive analytics
...
Published:
2009-09-11
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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 analytics:
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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Excerpt related to
data mining analytics:
... Data mining means using data that has been collected
for analytics—that is, looking at patterns, trends, and opportunities, and even going further to provide
...
Published:
2008-05-08
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Excerpt related to
data mining analytics:
... then credit card companies must be using some very sophisticated analytics tools to
... of a set of algorithms and technologies for performing data mining
processes ...
Published:
2011-04-01
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Abstract:
Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored
on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is
loaded into memory. This results in dramatic improveme (...)
Excerpt related to
data mining analytics:
... drives. In-memory analytics leverages a significantly more efficient approach where
all the data is loaded into memory. This results ...
Published:
2010-04-09
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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 analytics:
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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Abstract:
Most companies have an incredible amount of data living in transaction-based, distributed systems and databases. But these
databases are often not designed to communicate with one another, allow users to explore data in unusual ways, or quickly
provide high-level summaries of data. Learn how business int (...)
Excerpt related to
data mining analytics:
... Source: IBM. Document Type: White Paper Description: Most companies have an incredible amount of data
living in transaction-based, distributed systems and ...
Published:
2010-03-11
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Abstract:
Corda's CenterView™ enterprise performance dashboards allow users and software partners to use Corda's dashboards to create
the presentation layer of analytics, and to help organizations present and achieve their business goals across the organization. (...)
Excerpt related to
data mining analytics:
Corda's CenterView™ enterprise performance dashboards allow users and software partners to use Corda's dashboards
to create the presentation layer...
Published:
2007-03-16
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Abstract:
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 (...)
Excerpt related to
data mining analytics:
... Consequently, in-memory analytics constitutes all analysis that is performed ...
online analytical processing (OLAP), statistical analysis, data mining, and text ...
Published:
2010-09-01
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Abstract:
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 (...)
Excerpt related to
data mining analytics:
Interelate, a customer intelligence ASP, recently announced partnerships with infrastructure service provider LoudCloud and
CRM analytics vendor E...
Published:
2000-09-15
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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 analytics:
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:
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 (...)
Excerpt related to
data mining analytics:
12 Essential BI Features that Deliver Immediate Value to your Applications. Source: LogiXML. Document Type: White Paper Description
...
Published:
2010-03-11
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Abstract:
Web analytics has never been an exact science—which can make the process extremely frustrating. How can you be 100 percent
certain that the data you’re working with is always accurate? To deal with this and many other questions that will arise,
businesses must gain a better understanding of how well (...)
Excerpt related to
data mining analytics:
... questions that will arise, businesses must gain a better understanding of how well their analytics
tools work with their existing data integration solutions ...
Published:
2010-03-11
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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 analytics:
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:
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 analytics:
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:
For a full picture of the business environment and make the best decisions, middle managers must have access to business
intelligence (BI). You can’t focus on only the functional level—you must see the relationships among various business
components. And you can—with a BI tool that’s easi (...)
Excerpt related to
data mining analytics:
Business Intelligence (BI) as a Tool for Middle Management. Source: Elegant MicroWeb. Document Type: White Paper Description:
For ...
Published:
2010-03-11
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Abstract:
Small and midsized companies may need help configuring Google Analytics installations to aid their clients in the real estate,
vacation rental, and resort markets—and to measure and enhance the effectiveness of their online marketing programs.
If you’re tired of being kept in the dark about the e (...)
Excerpt related to
data mining analytics:
Leverage Google Analytics to Enhance Marketing Awareness and Performance. Source: Blue Tent Marketing. Document
Type: White Paper ...
Published:
2010-03-11