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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 warehousing mining:
... 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:
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 warehousing mining:
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:
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 warehousing mining:
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:
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 warehousing mining:
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:
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 warehousing mining:
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:
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 warehousing mining:
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
data warehousing mining:
... 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:
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
data warehousing mining:
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:
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 warehousing mining:
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:
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
data warehousing mining:
... 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
data warehousing mining:
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:
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 warehousing mining:
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
data warehousing mining:
... 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:
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 warehousing mining:
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:
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
data warehousing mining:
... 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:
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 warehousing mining:
... 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
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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
data warehousing mining:
... 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
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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 warehousing mining:
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) 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
data warehousing mining:
... 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:
Sagent has recently announced a strategic agreement with the SAS Institute, a market leader in analytics and CRM software,
to integrate and license select SAS software within its business intelligence solutions. Through a partnership with SAS,
Sagent gains additional creditability in the market and SAS (...)
Excerpt related to
data warehousing mining:
Sagent has recently announced a strategic agreement with the SAS Institute, a market leader in analytics and CRM software,
to integrate and licens...
Published:
2001-04-12