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Documents related to » oracle data modeling


Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

ORACLE DATA MODELING: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in
9/9/2009 2:32:00 PM

Four Critical Success Factors to Cleansing Data
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 impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

ORACLE DATA MODELING: Four Critical Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data Source: PM ATLAS Business Group, LLC Document Type: White Paper Description: 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 impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology. Four Critical Success Factors to
1/14/2006 9:29:00 AM

Contextual Workflow Modeling
Contextual Workflow Modeling.Secure Documents and Other Software System to Use In Your System for Contextual Workflow Modeling. Activity-based workflow modeling (AWM) is a common and useful modeling technique, whose fundamental drawbacks limit its effectiveness in modeling complex, highly nuanced workflows. Contextual workflow modeling, a technology invented at Macronetics, overcomes the limitations of AWM.

ORACLE DATA MODELING: Contextual Workflow Modeling Contextual Workflow Modeling Source: Macronetics Document Type: White Paper Description: Activity-based workflow modeling (AWM) is a common and useful modeling technique, whose fundamental drawbacks limit its effectiveness in modeling complex, highly nuanced workflows. Contextual workflow modeling, a technology invented at Macronetics, overcomes the limitations of AWM. Contextual Workflow Modeling style= border-width:0px; />   comments powered by Disqus Source: Macronetics
1/19/2006 3:17:00 PM

Oracle Acquires Eloqua » The TEC Blog
Oracle Acquires Eloqua » The TEC Blog TEC Blog     TEC Home     About TEC     Contact Us     About the Bloggers     Follow TEC on Twitter    RSS   Discussing Enterprise Software and Selection --> Fast, Accurate Software Evaluations TEC helps enterprises evaluate and select software solutions that meet their exacting needs by empowering purchasers with the tools, research, and expertise to make an ideal decision. Your software selection starts here. Learn more about TEC s software

ORACLE DATA MODELING: CRM, customer experience cloud, customer experience management, Eloqua, industry watch, marketing automation, marketing automation solution, Oracle CX, SCRM, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
20-12-2012

Domain-specific Modeling with MetaEdit+: 10 Times Faster than UML
Bridging the gap between an application’s problem domain and its code can be difficult, even for the best software engineers. Bridging these two diverse worlds—each with its own language—requires a finished application that creates an intersection between the two. By building a domain-specific modeling (DSM) language and generator using MetaEdit+, engineers close the gap and pave the way to better productivity.

ORACLE DATA MODELING: Domain-specific Modeling with MetaEdit+: 10 Times Faster than UML Domain-specific Modeling with MetaEdit+: 10 Times Faster than UML Source: MetaCase Document Type: White Paper Description: Bridging the gap between an application’s problem domain and its code can be difficult, even for the best software engineers. Bridging these two diverse worlds—each with its own language—requires a finished application that creates an intersection between the two. By building a domain-specific modeling (DSM)
8/27/2007 5:05:00 AM

A Road Map to Data Migration Success
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 management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

ORACLE DATA MODELING: A Road Map to Data Migration Success A Road Map to Data Migration Success Source: SAP Document Type: White Paper Description: 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 management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and
1/25/2010 11:36:00 AM

Food Producer Files $20m Lawsuit Against Oracle
California based Tri Valley Growers (TVG) filed a $20 million lawsuit against Oracle, for Oracle's failure to fulfill its contract to modernize TVG's production and management systems using its enterprise resource planning (ERP) applications.

ORACLE DATA MODELING: Files $20m Lawsuit Against Oracle Food Producer Files $20m Lawsuit Against Oracle P.J. Jakovljevic - March 6, 2000 Read Comments Food Producer Files $20m Lawsuit Against Oracle P.J. Jakovljevic - March 6th, 2000 Event Summary On February 11, a US agricultural co-operative filed a $20 million lawsuit against Oracle, alleging fraud, negligent misrepresentation, malpractice, and breach of contract. California based Tri Valley Growers (TVG), which processes and markets its members fruit and vegetables,
3/6/2000

Data Quality Basics
Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue.

ORACLE DATA MODELING: Data Quality Basics Data Quality Basics Source: Trillium Software Document Type: White Paper Description: Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue. Data
10/27/2006 4:30:00 PM

Oracle Co. - Internet Paradigm Boosts Applications Growth
Oracle is one of the first software companies to implement the Internet computing model for developing and deploying enterprise software across its entire product line. CRM and strategic procurement will be significant contributors to Oracle Applications sales revenue (up to 35% within next 3 years), where Oracle Business OnLine has a potential of reaching 15%-25% of total Oracle applications sales revenue within the next 5 years...

ORACLE DATA MODELING: Oracle Co. - Internet Paradigm Boosts Applications Growth Oracle Co. - Internet Paradigm Boosts Applications Growth P.J. Jakovljevic - September 1, 1999 Read Comments Vendor Summary Founded in 1977 and headquartered in Redwood City, CA, Oracle Corporation is the No.1 database software vendor with approx. 50% market share, and is the world s second largest independent software company (after Microsoft). Oracle is also the second largest ERP vendor (after SAP) with $2.1 billion revenue in 1998 (approx. 12%
9/1/1999

Data-driven Design
Creating and maintaining a successful digital experience that drives business results requires the right research insight, design, technology, and ongoing optimization. Forrester conducted an online survey of 209 digital experience professionals in the US to evaluate current practices around Web site monitoring and digital experiences. Read about the adoption, benefits, and challenges of current data-driven design processes.

ORACLE DATA MODELING: Databases and ERP Selection: Oracle vs. SQL Server Acronym-Related White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) |  Total Cost of Ownership (TCO)
5/15/2012 1:00:00 PM

Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

ORACLE DATA MODELING: Data Quality Trends and Adoption Data Quality Trends and Adoption Source: SAP Document Type: White Paper Description: While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies
3/22/2011 9:46:00 AM


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