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Abstract:
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience.
Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework
to manage data on a continuous basis. (...)
Excerpt related to
customer data transformation service:
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience.
Implementing CDI...
Published:
2009-09-11
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Abstract:
Creating a Winning Data Transmission Service. Get Advice for Your Evaluation In Relation To Data Transmission Service. Today’s
data transmission departments are battling for budget and relevance. Moving files and ensuring delivery is getting tougher
every day. To successfully deliver data to an increasi (...)
Excerpt related to
customer data transformation service:
Creating a Winning Data Transmission Service. Get Advice for Your Evaluation In Relation To Data Transmission Service. Today’s
data transmission de...
Published:
2010-03-11
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Abstract:
Differentiation through Service Excellence. Get Free Assessment Reports for Service Excellence. With products increasingly
becoming commodities, chief executive officers (CEOs) recognize that first-rate customer service is key to enhancing customer
satisfaction. While revenue is flattening for many produc (...)
Excerpt related to
customer data transformation service:
... Find out how integrating business processes and customer relationship management (CRM)
data can help you deliver new service offerings and improve the customer
...
Published:
2010-03-11
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Abstract:
Amdocs recently announced a complete revamp of its marketing philosophy and its offering to its customers, which it believes
to be the most important shift since the company's initial public offering in 1998. (...)
Excerpt related to
customer data transformation service:
Amdocs recently announced a complete revamp of its marketing philosophy and its offering to its customers, which it believes
to be the most import...
Published:
2005-08-04
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Abstract:
The key to a successful data migration: read a Road Map to Data Migration Success, a SAP white paper. Many significant business
initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses,
project teams encounter some very specific manageme (...)
Excerpt related to
customer data transformation service:
The key to a successful data migration: read a Road Map to Data Migration Success, a SAP white paper. Many significant business
initiatives and lar...
Published:
2010-03-11
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Abstract:
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence. Find Free Guides and Other Solutions to
Define Your Implementation In Relation To Data Integration and Business Intelligence. If you can’t see how your business is
performing, how can you make the right decisions? For a (...)
Excerpt related to
customer data transformation service:
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence. Find Free Guides and Other Solutions to
Define Your Implementat...
Published:
2010-03-11
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Abstract:
Web 2.0: "Code Free" Siebel Web Service Integration. IT Reports and Other Software Dynamic System to Use In Your
Dynamic System Related to the Siebel Web Service Integration. One of the most challenging areas in any Siebel implementation
has traditionally been setting up and maintaining interfac (...)
Excerpt related to
customer data transformation service:
Web 2.0: "Code Free" Siebel Web Service Integration. IT Reports and Other Software Dynamic System to Use In Your
Dynamic System Related t...
Published:
2010-03-11
-
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
customer data transformation service:
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:
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
customer data transformation service:
... that provided to them by their service provider (their ... pertinent
issues in the BI and data warehousing industry, and gives training at customer sites. ...
Published:
2006-10-25
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Abstract:
Oracle has long moved in the direction of blurring the line between applications and infrastructure. It has leveraged the
system of record elements in application suites by applying infrastructure technologies to correlate real-time events for
improved decision-making. (...)
Excerpt related to
customer data transformation service:
Oracle has long moved in the direction of blurring the line between applications and infrastructure. It has leveraged the
system of record element...
Published:
2005-03-16
-
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
customer data transformation service:
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
-
Abstract:
No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data
quality can destroy its utility and cost real dollars. (...)
Excerpt related to
customer data transformation service:
No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data quality
can destroy its u...
Published:
2002-10-17
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Abstract:
Get Closer to Your Best Customers: a Shift in Customer Strategies in a Time of Crisis. Find Out Software Solutions and Applications
for the Customer Strategies. An unsettled economy needs a different approach to managing revenues. Companies must identify
their most profitable customers and the most effect (...)
Excerpt related to
customer data transformation service:
Get Closer to Your Best Customers: a Shift in Customer Strategies in a Time of Crisis. Find Out Software Solutions and Applications
for the Custome...
Published:
2010-03-11
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Abstract:
Targeting your best customers and personalizing your relationship with them, implies an in-depth understanding of their behavior. (...)
Excerpt related to
customer data transformation service:
Targeting your best customers and personalizing your relationship with them, implies an in-depth understanding of their behavior.
Published:
2002-12-21
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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
customer data transformation service:
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:
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
customer data transformation service:
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
-
Abstract:
No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data
quality can destroy its utility and cost real dollars. (...)
Excerpt related to
customer data transformation service:
No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data quality
can destroy its u...
Published:
2002-10-17
-
Abstract:
Service-oriented Architecture: Savior or Nemesis? Reports and Other Software Dynamic System to Use In Your Dynamic System
of Service-oriented Architecture. Managed well, service-oriented architecture (SOA) offers a tremendous opportunity to make
positive changes and lay a foundation that will allow IT to (...)
Excerpt related to
customer data transformation service:
Service-oriented Architecture: Savior or Nemesis? Reports and Other Software Dynamic System to Use In Your Dynamic System
of Service-oriented Archi...
Published:
2010-03-11
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Abstract:
The business ecosystem has shifted focus from corporation to customer, and the location of value has changed with it. Where
value had historically been located in products and services, it is now located in the value produced by the customer. (...)
Excerpt related to
customer data transformation service:
The business ecosystem has shifted focus from corporation to customer, and the location of value has changed with it. Where
value had historically...
Published:
2006-09-21
-
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
customer data transformation service:
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