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Abstract:
Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple
different data sources into a unified view of a business. The product has a very intriguing method of metadata scanning,
and should have significant market impact. (...)
Excerpt related to
data flow digram level 0:
Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple
different data so...
Published:
2000-06-27
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Abstract:
WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT) today announced a strategic partnership with Firstlogic,
Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing,
data warehousing, and e-business application (...)
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data flow digram level 0:
M. Reed - December 1, 1999. Comments: 0. Read Comments ... strategic to corporate growth,
monitoring and maintaining the highest level of data quality are ...
Published:
1999-12-01
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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 flow digram level 0:
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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Abstract:
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy.
Looking beyond general approaches and company policies that set expectations and establish data management procedures, we
will explore applications and tools that help reduce the negat (...)
Excerpt related to
data flow digram level 0:
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy.
Looking beyond general ap...
Published:
2004-03-08
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Abstract:
WALTHAM, Mass., August 9th, 1999 (Reuters) - High-end data storage leader EMC Corp. (NYSE:EMC) on Monday moved to grab a
chunk of the mid-range storage business with a deal to buy Data General Corp. (NYSE:DGN) for $1.1 billion in stock, the companies
said. (...)
Excerpt related to
data flow digram level 0:
WALTHAM, Mass., August 9th, 1999 (Reuters) - High-end data storage leader EMC Corp. (NYSE:EMC) on Monday moved to grab a chunk
of the mid-range st...
Published:
1999-08-13
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Abstract:
RFID and wireless usage will drive up data transactions by ten fold over the next few years. It is likely that a significant
readdressing of the infrastructure will be required--in the enterprise and the global bandwidth. (...)
Excerpt related to
data flow digram level 0:
RFID and wireless usage will drive up data transactions by ten fold over the next few years. It is likely that a significant
readdressing of the i...
Published:
2004-10-20
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Abstract:
Enterprises that have manufacturing or plant-level intelligence systems can be guided through the forking paths of exception-based
decision-making. Not only will they be better prepared for unplanned events, but they will also know how their responses will
impact the company. (...)
Excerpt related to
data flow digram level 0:
Enterprises that have manufacturing or plant-level intelligence systems can be guided through the forking paths of exception-based
decision-making...
Published:
2005-12-20
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Abstract:
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than
depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches
include an "open book" policy, which includes pub (...)
Excerpt related to
data flow digram level 0:
... 0. Read Comments M. Reed - February 15, 2001. Event Summary. Metagenix, Inc. has designed
its flagship product, MetaRecon to, as they put it, "Decipher Your Data ...
Published:
2001-02-15
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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 flow digram level 0:
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:
Mobile Data Server 2.0 (MDS) allows access via WAP to a company’s Intranet, Microsoft Back Office databases, such as SQL
Server in addition to Microsoft Exchange Integration for messaging. (...)
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data flow digram level 0:
Mobile Data Server 2.0 (MDS) allows access via WAP to a company’s Intranet, Microsoft Back Office databases, such as SQL Server
in addition to Mic...
Published:
2000-07-06
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Abstract:
Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications,
analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP)
systems such as SAP R/3 and PeopleSoft, to web log (...)
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data flow digram level 0:
M. Reed - April 5, 2001. Comments: 0. Read Comments M. Reed - April 5 ... the availability
of Informatica PowerCenter 5, an enterprise data integration platform for ...
Published:
2001-04-05
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Abstract:
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations. (...)
Excerpt related to
data flow digram level 0:
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.
Published:
2002-08-23
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Abstract:
Converting data in any systems implementation is a high wire act. Converting data in an ERP environment should only be undertaken
with a safety net, namely a well thought-out plan of execution. This article discusses the guidelines for converting data
when considering manual or electronic alternatives. (...)
Excerpt related to
data flow digram level 0:
Converting data in any systems implementation is a high wire act. Converting data in an ERP environment should only be undertaken
with a safety ne...
Published:
2002-10-21
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Abstract:
Linking data to process is the realm of business process management (BPM). BPM's focus on process dramatically reduces the
amount of data that needs to be moved, and thereby reduces both the initial cost and ongoing maintenance cost of application
integration. (...)
Excerpt related to
data flow digram level 0:
Linking data to process is the realm of business process management (BPM). BPM's focus on process dramatically reduces
the amount of data that ne...
Published:
2003-05-30
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Abstract:
SAP adds functionality to its role-based workplace portals. (...)
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data flow digram level 0:
SAP adds functionality to its role-based workplace portals.
Published:
2000-01-07
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Abstract:
Successful e-commerce relies on intelligible, trustworthy content. To achieve this, companies need a complete solution at
their back- and front-ends, so they can harness and leverage their data and maximize the return on their e-commerce investment. (...)
Excerpt related to
data flow digram level 0:
Successful e-commerce relies on intelligible, trustworthy content. To achieve this, companies need a complete solution at
their back- and front-e...
Published:
2003-01-04
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Abstract:
The traditional way of extracting data from disparate data sources has been transformed by the emergence of new tools and
applications, as well as the appearance of new and massive sources of information like the Web. Learn about tools you can
use to turn Web data into an important asset for your organiz (...)
Excerpt related to
data flow digram level 0:
The traditional way of extracting data from disparate data sources has been transformed by the emergence of new tools and
applications, as well as...
Published:
2010-12-02
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Abstract:
There are two types of extract transform and load (ETL) vendors. Business intelligence (BI) vendors integrate ETL functionality
into their overall BI framework, while best-of-breed data integration vendors, who provide enhanced ETL functionality, have
an increased focus on data cleansing and integrity. (...)
Excerpt related to
data flow digram level 0:
There are two types of extract transform and load (ETL) vendors. Business intelligence (BI) vendors integrate ETL functionality
into their overall...
Published:
2006-03-07
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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 flow digram level 0:
The Necessity of Data Warehousing. M. Reed - August 2, 2000. Comments: 0. Read Comments
The Necessity of Data Warehousing M. Reed - August 2, 2000. ...
Published:
2000-08-02
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Abstract:
A customer relationship management (CRM) system is inherently valuable for supporting customer acquisition and retention
by gathering data from each contact with customers and prospects. Collecting data, however, cannot be isolated from a strategy
for actually using that data. Here is an overview of how (...)
Excerpt related to
data flow digram level 0:
A customer relationship management (CRM) system is inherently valuable for supporting customer acquisition and retention by
gathering data from ea...
Published:
2003-07-03