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Customer Relationship Management (CRM)
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Documents related to » dynamic data access methods to access and manage different types of data


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

dynamic data access methods to access and manage different types of data  architecture is much more dynamic than it was just a few years ago. Businesses now demand more information sooner and they are delivering analytics from their EDW to an every-widening set of users and applications than ever before. In order to keep up with this increase in demand the EDW must now be near real-time and be highly available. How do you know if your data warehouse is getting the best possible performance? Or whether you''ve made the right decisions to keep your multi-TB system highly available Read More...
The 2008 Handbook of Application Delivery: A Guide to Decision Making
IT organizations can no longer manage networks in isolation from the applications they support, requiring a shift from focusing on devices to a focus on

dynamic data access methods to access and manage different types of data  the content is very dynamic and alive and that as a result people keep coming back to the website. The concept of an application that is itself the result of aggregating other applications together has become so common that a new term, mashup, has been coined to describe it. According to Wikipedia6 a mashup is a web application that combines data from more than one source into a single integrated tool; a typical example is the use of cartographic data from Google Maps to add location information to real Read More...
The Essential Components of Quote-to-order Application Suites
Modern quote-to-order suites provide customers and suppliers access to design, planning, and material data. This enables users to proactively understand various

dynamic data access methods to access and manage different types of data  also stem from flexible, dynamic pricing and lower customer transaction costs. Reduced costs of goods sold; of administration (by eliminating ordering errors); of selling (by freeing sales and marketing personnel to focus on more profitable activities, such as building relationships, prospecting for new accounts, and executing promotional programs); of engineering staff (by eliminating many review steps); and of IT departments (in the case of very functional off-the-shelf packages, IT personnel roles and Read More...
The Benefits of Next-generation ERP
Rapid changes in the market and in customer needs mean small to medium businesses (SMBs) must work harder to stay competitive. Setting and achieving goals in

dynamic data access methods to access and manage different types of data  codes Alternative materials Consignments Dynamic unit of measure and dimension definitions Supplier relations and codes Advanced warehouse management Diverse costing methods (FIFO, LIFO, Average of Inputs, Average On Hand, Periodic Average) Inventory level control by warehouse Inventory cycle count ABC analysis Inventory location management Barcode support Track and report materials in multiple units Access to historical inventory levels data with a single keystroke Track materials in a hierarchical struc Read More...
Supply Chain 101: The Basics You Need to Know
Today’s manufacturers face increasing global competition and complex manufacturing networks. Supply chain management provides manufacturers with the needed

dynamic data access methods to access and manage different types of data  SCM is thus a dynamic way of producing one or many goods through a network of suppliers and manufacturers, strung together by different transportation and logistics methods or networks. The five stages of SCM are 1) planning, 2) sourcing (procurement), 3) making the product, 4) delivery, and 5) returns (reverse logistics). This process allows products to move back and forth throughout the supply chain, allowing companies to leverage different resources to make better products and to lower manufacturing Read More...
From Idea to Delivery: Take a Holistic, End-to-End Approach to Bringing Products to Market
The longstanding silos within organizations may be ready for busting, and the right IT strategy can facilitate the collaboration needed to break them down, even

dynamic data access methods to access and manage different types of data  idea to delivery framework,i2d framework,new normal economy,knowledge sharing,interdisciplinary collaboration,knowledge sharing systems,sharing knowledge,knowledge sharing best practices,interdisciplinary collaboration definition,knowledge sharing software,knowledge sharing quotes,interdisciplinary collaboration for healthcare professionals,knowledge sharing tools,knowledge sharing system,knowledge management sharing Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

dynamic data access methods to access and manage different types of data  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frus Read More...
Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

dynamic data access methods to access and manage different types of data  Quality: A Survival Guide for Marketing Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More...
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

dynamic data access methods to access and manage different types of data  Critical Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Data Cleansing and Synchronization Services The pace with which companies are forced to operate and to compete globally has taxed exisitng systems and increased their inefficiencies. Source : PM ATLAS Business Group, LLC Resources Related to Critical Success Factors to Cleansing Data : Data Read More...
Data Visualization: When Data Speaks Business
For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is

dynamic data access methods to access and manage different types of data  Visualization: When Data Speaks Business For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages Read More...
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

dynamic data access methods to access and manage different types of data  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

dynamic data access methods to access and manage different types of data  Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and Read More...
Comparing the Total Cost of Ownership of SME On-premise Business Management Applications and SAP Business ByDesign
This document analyzes the cost of ownership for a typical on-premise small and medium enterprise (SME) business management system, and compares it to the cost

dynamic data access methods to access and manage different types of data  sap,erp,business management software,erp software,erp system,enterprise resource planning,erp crm,erp implementation,erp business,erp systems,erp management,erp definition,erp project,erp solutions,erp ppt Read More...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

dynamic data access methods to access and manage different types of data  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. BEG Read More...
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

dynamic data access methods to access and manage different types of data  Storage in the Cloud-Can you Afford Not To? Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage. Read More...

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