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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
mining and data warehousing:
... is often the most time-consuming and costly effort in the data warehousing
project, and ... Data Mining Tools: Tools that automatically search for
patterns in data ...
Published:
2002-08-18
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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
mining and data warehousing:
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:
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
mining and data warehousing:
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:
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
mining and data warehousing:
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:
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
mining and data warehousing:
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:
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
mining and data warehousing:
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:
Best practices for reporting have often been overlooked. Most of the time we focus on eye candy—such as dashboards—and
overlook report generation and report production, which are crucial concepts at the heart of business intelligence (BI). Learn
more about the current reporting situation, and (...)
Excerpt related to
mining and data warehousing:
Business Intelligence Best Practices: Simplify the Reporting Landscape. Source: Oracle. Document Type: White Paper Description:
Best ...
Published:
2010-03-11
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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
mining and data warehousing:
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:
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
mining and data warehousing:
... to more easily exchange data and results and allow developers to more easily incorporate
data mining technology into existing data warehousing
solutions. ...
Published:
2000-03-28
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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
mining and data warehousing:
A One-stop Event for Business Intelligence and Data Warehousing Information. Lyndsay Wise
- October 25, 2006. Comments: 0. Read Comments. ...
Published:
2006-10-25
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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
mining and data warehousing:
... Topics ranged from data warehousing testing techniques to performance
management ... analytical processing (OLAP), dashboards, scorecards, and data mining,
as well ...
Published:
2006-10-25
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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
mining and data warehousing:
... 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:
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
mining and data warehousing:
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:
Business intelligence (BI) 2.0 is used more and more to refer to the next generation of BI solutions, which allow better
access to information, and enable communication and collaboration amongst all users. But how is BI changing exactly? For one
thing, BI 2.0 allows Web-based interactive reporting. Learn (...)
Excerpt related to
mining and data warehousing:
... Learn about other differences—and how BI 2.0 can make a difference in your organization’s data
warehousing and other activities. ...
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
mining and data warehousing:
... When embarking on a data warehousing or business intelligence project,
it is essential for organizations to emphasize the quality of data that is used for ...
Published:
2009-07-17
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Abstract:
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive
advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed. (...)
Excerpt related to
mining and data warehousing:
... implementations require sophisticated analysis techniques such as data mining
(statistical analysis ... Data Warehousing has taken many years to develop
into its ...
Published:
2000-08-02
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Abstract:
Historically, data warehousing and business intelligence (BI) initiatives have been IT-driven—concerned mainly with the technical
aspects of delivering information to BI users. Now that many of the challenges and tradeoffs are understood, companies can
focus on using BI to deliver business value. Learn (...)
Excerpt related to
mining and data warehousing:
... Source: SAP. Document Type: White Paper Description: Historically, data warehousing
and business intelligence (BI) initiatives have been IT-driven—concerned ...
Published:
2010-03-11
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Abstract:
SAS Institute, a vendor of integrated data warehousing, decision support and information delivery software, has announced
the production availability of SAS/Warehouse Administrator® software, Version 2.1. With an open component-based architecture,
improved data access and management capabilities, thin- (...)
Excerpt related to
mining and data warehousing:
SAS Institute, a vendor of integrated data warehousing, decision support and information delivery software, has announced
the production availabil...
Published:
2000-09-12
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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
mining and data warehousing:
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
-
Abstract:
SAS Institute has announced the production availability of SAS/Warehouse Administrator software, Version 2.0. This new version
provides IT the ability to proactively publish data warehouse information and track its usage, plus aggressively manage the
process of change in the data warehouse. (...)
Excerpt related to
mining and data warehousing:
... with IBM which may be leveraged by customers in the general data warehousing
arena. ... in statistical products, SAS is particularly strong in the data-mining
arena ...
Published:
2000-03-13