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Quote-to-Order (Q2O) Systems
Quote-to-order (Q2O) solutions (sometimes known as configure, price, and quote or CPQ) enable manufacturers to mobilize their mass customization initiatives. These systems can reduce time-consuming...
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Documents related to » ordering technical data


Beware of Legacy Data - It Can Be Lethal
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

ordering technical data  old mainframe applications for ordering, invoicing, and inventory. Because it was getting extremely difficult to maintain these legacy applications, the company decided to turn to Armature an ERP supplier specializing in integrated solutions for the retail industry. The company was wise enough to migrate gradually to the new system. They didn''t want to put their main business processes in danger by a big bang approach. By migrating piece by piece they wanted to reduce the risks. Data present in the files Read More
Ask the Experts: Approaches to Data Mining ERP
From one of our readers comes this question:I am a student of IT Management; I have an ERP course and I am supposed to write an article to review new

ordering technical data  output determined the optimal ordering method, the optimal quantity, and prepared a purchase order for a buyer to approve. What makes CCM different? By continuously and independently analyzing financial transaction data, CCM applications can verify and validate the data against the organization''s control parameters and business rules. CCM benefits busy organizations by rapidly analyzing large volumes of data, identifying suspicious activities, and providing alerts should any breaches in security occur. Read More
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Until recently, the few leaders in the lower end of the technology and platform market have hardly had any viable competition. However, Oracle is determined to

ordering technical data  is for Oracle 1-Click Ordering Programs, a new process is initiated, via a partner portal, that triggers an order entry number and URL to be sent back to the purchaser. The purchaser can then choose either an online or a physical order fulfillment. If electronic fulfillment is elected, the purchaser can download the software, type in an order entry number, and receive the product after clicking through simplified terms and conditions. If physical fulfillment is chosen, the purchaser will receive a media Read More
Quote-to-order: New Ingredients in the Recipe for Success
Quote-to-order (Q2O) systems can address the increasing demand for personalized and customized products. Complex product specification, quoting, and ordering

ordering technical data  product specification, quoting, and ordering processes, by mapping the steps and identifying those that add value and those that are wasteful. Some of the most apparent examples of wasteful steps include repeatedly clarifying and checking prior work due to incomplete information flow re-entering (re-keying) order data multiple times in various systems fixing specification and engineering errors after an order has been placed re-work, warranty, and plant rescheduling costs caused by faulty process and Read More
Microsoft Business Network (MBN)--Coming of Age? Part One: Event Summary
While the Microsoft Business Network (MBN) product is worth considering for a number of compelling reasons, it will take some immense doing before it becomes a

ordering technical data  one, by streamlining the ordering process to make it faster and easier for both Mikimoto America and its customers, MBN saves Mikimoto America employees the time they would previously spend on manual sales processes, enabling them to focus instead on building more personal and productive relationships with customers. The solution has also helped the company significantly reduce its order-to-cash cycle (to one week from two or more weeks), allowing the company to increase its customer service standards Read More
Data Quality: Cost or Profit?
Data quality has direct consequences on a company''s bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

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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

ordering technical data  data warehouse,data warehouse architecture,data warehouse concepts,data warehousing information center,data integration paper,data warehouse software,data warehousing analysis Read More
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

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10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you''re going through the data center...

ordering technical data  10 errors avoid building data center,errors,avoid,building,data,center,errors avoid building data center,10 avoid building data center,10 errors building data center,10 errors avoid data center. Read More
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

ordering technical data  Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the Read More
Optimizing Gross Margin over Continously Cleansed Data
Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards

ordering technical data  Gross Margin over Continously Cleansed Data Optimizing Gross Margin over Continously Cleansed Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Advanced functionality to manage costs, sell prices, promotions, discounts, chargebacks, and other key attributes while optimizing gross profits. Source : epaCUBE Resources Related to Optimizing Gross Margin over Continously Cleansed Data : Data cleansing (Wikipedia) Gross margin Read More
The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business

ordering technical data  Data Management,Data Infrastructure,Data Center,Knowledge Management,Cost Control,IT Budgeting,Outsourcing,Strategic Planning,Business Applications,Business Management,data management software,data management technology,enterprise data management,data management services,customer data management Read More
Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet

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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

ordering technical data  data quality solution,enterprise information management,enterprise information management strategy,enterprise information management definition,enterprise information management framework,enterprise information management software,data quality maturity,data quality software,open source data quality software,data quality,data quality tools,customer data quality,data quality metrics,data quality management,data quality objectives Read More
Master Data Management: Extracting Value from Your Most Important Intangible Asset
In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe

ordering technical data  Data Management: Extracting Value from Your Most Important Intangible Asset Master Data Management: Extracting Value from Your Most Important Intangible Asset If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Founded in 1972, SAP has a rich history of innovation and growth as a true industry leader. SAP currently has sales and development locations in more than 50 countries worldwide and is listed on several exchanges, including the Read More

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