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Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

logical data model  In this paper a logical model for a data warehouse will be treated more as a conceptual or abstract model, a more ideological view of what the data warehouse should be. The physical model will describe how the data warehouse is actually built in an Oracle database. A logical model is an essential part of the development process for a data warehouse. It allows you to define the types of information needed in the data warehouse to answer the business questions and the logical relationships between Read More...
Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
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Documents related to » logical data model


The N-able MSP Maturity Model
A business' success delivering managed services depends on its ability to improve the delivery of effective and efficient services to its customer base. Learn

logical data model  service provider is the logical evolution from the Service level. While the Service provider manages IT based on the value of the IT components, as documented in the SLA, the Value provider manages IT based on the business process that it supports - regardless of the infrastructure that requires the service. As with the Service approach to IT management, Value-based service providers generally abstract the amount of time required to provide a service in favor of a flat-fee based on the value of the Read More...
Leveraging A Demand-Driven Manufacturing Model to Enhance Profitability
Successful demand-driven fulfillment manufacturing, include optimal channel and customer relationships, informed on-line buying and selling, order fulfillment

logical data model  visibility across physical or logical locations. Once they have confi dence in that data, they can stop overcompensating for inbound delivery problems with excess inventory, or they can ship from multiple warehouses without keeping all fi nished good items in each location. In addition, sales people can be confi dent in their ability to quote more accurate promise dates. Once the order has shipped, customers want the ability to track its shipment status. According to Managing Automation Magazine, To Read More...
5 Keys to Automated Data Interchange
The number of mid-market manufacturers and other businesses using electronic data interchange (EDI) is expanding—and with it, the need to integrate EDI data

logical data model  EDI integration, the next logical question is who to turn to in order to accomplish painless EDI integration. What is the right method for data integration? Should you just ask your ERP vendor? How will EDI integration affect your organization? How will it affect your processes? What do you need to be ready to embark on an EDI integration project? With over 80% of data integration projects failing, or coming in at 170% of budget, the need to carefully answer these and other questions can mean the Read More...
Strategies for Deploying Blade Servers in Existing Data Centers
Blade servers have a major advantage over traditional ones@improving processing ability while using less power per server. But, with their smaller footprint

logical data model  Desire to have a logical grouping of IT equipment (i.e. all web servers co-located) Different owners for different areas of the data center Simplifies administration of equipment (i.e. upgrades) A perception (usually wrong) that this will save money Note that packing at full density can be extremely costly and require intrusive construction and modification of an existing data center. It is strongly suggested that alternatives that involve spreading be considered before the decision is made to densely Read More...
The Data Explosion
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

logical data model  Data Explosion Introduction Traffic on the World Wide Web continues to grow. Traffic on your S mall S mart F ast devices continues to grow. Ok, I admit it. I bought the cell phone that takes pictures. I didn't know if it was useful; but being a technophile, I went for it. And rapidly it all came to me! I tried on a new cool jacket ... I crooned over it ... but for that much money, I wasn't sure. Should I really buy this? Enter the pic in my cell phone! We chicks have our honor guard. You know those Read More...
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

logical data model  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. Read More...
Energy Innovator Implements a New Business Model with mySAP
Capstone Turbine Corporation, an energy innovator, needed to implement management, business model, and strategy changes. It also needed to improve product

logical data model  to strive for constant technological innovation, they moved to stabilize Capstone’s products and focus squarely on the customer and selected niche markets. The new strategy demanded a shift from sales through distributors to a mix of direct sales and distributors specializing in the target markets. Research and development’s primary charter became customer requirements and the development of modular configurations for specific markets. The new leaders inherited two solid foundations on which to Read More...
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.

logical data model  in, 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 Read More...
Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center

logical data model  High-density Zones in a Low-density Data Center Deploying High-Density Zones in a Low-Density Data Center If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Together, APC’s global teams work to fulfill their mission of creating delighted customers. To do this, the Company focuses its efforts on four primary application areas: Home/Small Office; Business Networks; Data Centers and Facilities; and Access Provider Networks. Source Read More...
2012 Business Data Loss Survey results
This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download

logical data model  Business Data Loss Survey results This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now. Read More...
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

logical data model  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 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 Read More...
Data Migration Best Practices
Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce

logical data model  Migration Best Practices Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration. Read More...

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