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Software Functionality Revealed in Detail
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 ordering technical data

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

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 quoting and ordering processes, decrease unit costs, and lower sales costs. Q2O suites can further help enterprises increase sales effectiveness across all channels. These solutions help companies that sell complex products and services shift their focus to customer-facing sales and service issues. 

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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

A "Gentler" Giant's Success in Reaching Out to the "Little Guys"


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 give these players—especially archrival Microsoft—a run for their money, starting with offerings attractive to small to medium businesses and partners alike.

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

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 aspects of ERP systems. I’ve decided to explore the reasons for using data mining techniques in ERP systems—and to look at different modules to which these techniques have been applied. I am going to prepare a framework to determine

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

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 retailers' equivalent of what the Sabre reservation system means to airline agents.

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

The Anatomy of Retail Sourcing Processes


The most successful retailers are those that continually focus on driving the very best performance from each of their suppliers, and that work collaboratively to improve performance in areas such as on-time delivery, product quality, and regulatory compliance.

ordering technical data  phase begins. During the ordering process phase, the buyer confirms the preliminary order, sometimes updating certain information (such as style, size, and color buying allotments and channels), and then signs off the order and creates stock-keeping unit (SKU) numbers. The planner must then update quantities and delivery destinations by creating purchase order (PO) lines, while the quality manager reviews and signs off the required technical details. Once the purchase orders are placed, buying Read More

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...

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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 are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

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

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

ordering technical data   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. 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.

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Microsoft Goes Their Own Way with Data Warehousing Alliance 2000


Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.

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New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

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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 of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

ordering technical data  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices Read More

Operationalizing the Buzz: Big Data 2013


The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and use to explore why and how companies are utilizing Big Data. Download the report and get all the results.

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