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Customer Relationship Management (CRM)
Customer relationship management (CRM) focuses on the retention of customers by collecting all data from every interaction, every customer makes with a company from all access points whether they a...
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Documents related to » data integration paper ilm


Meridian Systems’ “Catch Up” Challenge in the Capital Infrastructure Industry - Part 1
Claiming the “Catch us if you can” movie mantra, the quiet Infrastructure Lifecycle Management (ILM) leader Meridian Systems, based in Folsom, California (US

data integration paper ilm  operational processes and business data in this phase are: asset management, equipment assets, location assets, maintenance management, and work orders . Currently, BIM is most prevalent in the Plan phase as architects and engineers can digitally design BIM models that create huge efficiencies in the iterative design process. But once rich BIM models have been designed, significant downstream value can be created for both the contractor and owner through cost reductions, and by providing a more accurate Read More...
Vendors Jostle and Profess Economic Stimulus Readiness - Part IV
Part I of this series analyzed the opportunities (as well as the related strings attached) stemming from the American Recovery and Reinvestment Act of 2009

data integration paper ilm  to report on multiple data points, at multiple levels, and to multiple people. Meridian and Skire have at least put together some specific reports, tailored to infrastructure building programs, with examples on their websites. This was relatively easy for these vendors to do, and reporting should be easy for their customers (even as the oversight requirements become more defined over time) because their project management systems already set users up to track all relevant data. To deliver the high Read More...
Data Perceptions


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Melissa Data


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Garbage in, Garbage out: Getting Good Data out of Your BI Systems
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems.

data integration paper ilm  Garbage out: Getting Good Data out of Your BI Systems Garbage in, garbage out. Poor quality data leads to bad business decisions. You need high quality data in your business intelligence (BI) system to facilitate effective analysis—to make the right decisions at the right time. But how do you achieve this? Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems . In this Focus Brief , you''ll learn about the steps in the data delivery cycle, the problems can occur at each step, Read More...
Data Mining: The Brains Behind eCRM
Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data

data integration paper ilm  The Brains Behind eCRM Data Mining: The Brains Behind eCRM S. McVey - November 6, 2000 Introduction While customer relationship management (CRM) gets a lot of attention, one important component is often overlooked - how a company effectively uses its existing customer data to improve customer loyalty while also identifying new potential buyers of products and services. Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting Read More...
Implementation Acceleration Using Integration
webMethods, Inc. has released a set of Packaged Integrations — pre-built software solutions that can be used to rapidly automate common cross-application

data integration paper ilm  service and support, and data synchronization. Currently supported applications are SAP R/3 , J.D. Edwards OneWorld , Oracle Applications , and Clarify . Future releases will add support for other leading ERP, CRM, and SCM vendors, as well as vertical solutions for telecommunications, financial services, and others. Using webMethods'' Business Integrator, graphical process modeler, and Application Integration Methodology (AIM) , companies can customize and extend packaged integrations to meet their Read More...
A Definition of Data Warehousing
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

data integration paper ilm  Definition of Data Warehousing Biographical Information Bill Inmon Bill Inmon is universally recognized as the father of the data warehouse. He has over 26 years of database technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing Read More...
Ariba to Leave Integration to Specialists
E-purchasing vendor Ariba chooses Tibco Software to integrate back-end programs.

data integration paper ilm  to Leave Integration to Specialists Event Summary Business-to-business E-purchasing company Ariba Inc. (Nasdaq: ARBA) has selected software tool maker Tibco Software Inc. (Nasdaq TIBX) to help Ariba''s customers connect their backend enterprise systems to the Ariba Network. Ariba supplies its own software to connect its customers to systems by vendors such as SAP, PeopleSoft, Oracle and Baan, but according to Ariba VP Dave Rome, the use of specialists such as Tibco will be more efficient. Market Read More...
What Makes a Good IT White Paper Good… and a Bad IT White Paper Very, Very Bad…
A white paper is a document or “brief” (and yes, perhaps unfortunately, I mean “brief” in the sense of something that informs rather than something that is

data integration paper ilm   Read More...
Pulp & Paper International
Pulp @ Paper International publishes content for the pulp and paper industry. The publication@s content includes articles, event coverage, and mill visits.

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The Teradata Database and the Intelligent Expansion of the Data Warehouse
In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role

data integration paper ilm  Intelligent Expansion of the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata Read More...
Siebel Rallies Its Integration Alliance Troops Part 1: Recent Announcements
Siebel is finally taking ''the bull by the horns'' by acknowledging the integration challenges its customers face, and by addressing that issue. An often

data integration paper ilm  for organizations to exchange data between Siebel''s CRM system its other vendors'' business applications. A standards-based and vendor-independent application integration solution called Universal Application Network (UNA) is touted to dramatically reduce the need for custom integration, thereby minimizing complexity, speeding deployment and delivering a low total cost of ownership (TCO). Leading system integrators such as Cap Gemini Ernst & Young , Accenture , IBM Global Services and KPMG Consulting , Read More...
ILM for the Enterprise: The Benefits of a Unified Approach
Information lifecycle management (ILM) is rapidly gaining acceptance as a process crucial to the success of many IT initiatives. The reason for this is the

data integration paper ilm  the importance of managing data. With the growing demand for ILM comes a variety of solutions that follow a disjointed, point product approach. By choosing an ILM software designed to scale to its needs, a business can benefit from software built on a unified platform. Read More...
Teradata Extreme Data Appliance
Teradata Extreme Data Appliance analyzes massive amounts of big data and leverages Teradata technology at the lower cost per unit of data that matches your

data integration paper ilm  Extreme Data Appliance Teradata Extreme Data Appliance analyzes massive amounts of big data and leverages Teradata technology at the lower cost per unit of data that matches your volume-based value needs. This purpose-built data appliance allows you to gain deep strategic insights from extremely large amounts of detailed big data and supports very high-volume, non-enterprise data/analysis requirements for a small number of power users in specific workgroups or projects that are outside of your Read More...

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