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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 data:
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:
Today’s military logistics agencies must sustain diverse fleets of costly, complex, and indispensible weapon systems and
platforms. Modern predictive maintenance solutions can integrate with existing IT infrastructures to collect and transmit
data from various platforms to a centralized condition-based (...)
Excerpt related to
data mining data:
Data Mining and Predictive Modeling for Condition-based Maintenance. Source: SAS. Document
Type: Case Study Description: Today’s ...
Published:
2011-05-24
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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 data:
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:
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 data:
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:
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 data:
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:
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 data:
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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Excerpt related to
data mining data:
... 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:
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 data:
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:
Rising data volume is not the only reason companies are concerned with issues of data integration and data quality. The growing
numbers of disparate systems that produce and distribute data add to the complexity. But in many companies, data quality management
has not kept pace with the growth of data int (...)
Excerpt related to
data mining data:
The Importance of a Single Platform for Data Integration and Quality Management. ... Find
out how moving toward a single data services architecture can help. ...
Published:
2010-03-11
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Abstract:
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 (...)
Excerpt related to
data mining data:
... 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 ...
Published:
2010-03-11
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Abstract:
Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick
deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover
the core criteria you should use to evaluate DW appliances, (...)
Excerpt related to
data mining data:
Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever. Source: IBM. Document
Type: White Paper Description ...
Published:
2010-04-09
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Abstract:
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 (...)
Excerpt related to
data mining data:
Uncovering Insight Hidden in Text: How Unstructured Data Analysis Is Helping IT Deliver Knowledge. Source:
SAP. Document Type: White ...
Published:
2010-03-11
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Abstract:
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for
data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating,
and querying a data warehouse typically carries an ext (...)
Excerpt related to
data mining data:
... Data Mining Tools: Tools that automatically search for patterns in
data. These tools are usually driven by complex statistical formulas. ...
Published:
2002-08-18
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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 data:
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:
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 data:
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:
Software vendors and users often view advanced data visualization and dashboard capabilities as the “sizzle” that helps sell
the product. This over-simplification misses the key point that ADV delivers the “steak” (i.e., the relevant information)
users need to make accurate assessments that optim (...)
Excerpt related to
data mining data:
The Business Case for Advanced Data Visualization. Source: Visual Mining. Document Type:
White Paper Description: Software vendors and users often view advanced ...
Published:
2010-03-11
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Abstract:
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to Four Critical Success
Factors to Cleansing Data. Quality data in the supply chain is essential in when information is automated and shared with
internal and external customers. Dirty data is a huge im (...)
Excerpt related to
data mining data:
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to Four Critical Success
Factors to Cleansin...
Published:
2010-03-11
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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 data:
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:
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 data:
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:
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 (...)
Excerpt related to
data mining data:
... networks and get personal with the right customers through the use of sophisticated technology to turn
“unstructured” sentiment into usable data that can ...
Published:
2010-12-23