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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.
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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 inventory data flow chart


Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

inventory data flow chart  allows it to shed inventory risk and reduce its costs. In essence, the shelves in its shops are a highly efficiently managed depot. Another company that capitalises on real-time information flows is Li & Fung, one of the world's biggest supply chain operators. Founded in Guangzhou in southern China a century ago, it does not own any factories or equipment but orchestrates a network of 12,000 suppliers in 40 countries, sourcing goods for brands ranging from Kate Spade to Walt Disney. Its turnover in 2008

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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

Merchandising Systems

Merchandising systems are the enterprise back and front-office software solutions upon which the majority of retailers rely to manage and support their daily tasks. These systems typically record product performance, which allows buyers to purchase merchandise according to that information and to make accurate merchandise decisions. Moreover, retail systems have capabilities for tracking inventory, capturing sales data, and managing retail prices. 

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Documents related to » inventory data flow chart

Demand Planning: Optimizing Operations across the Supply Chain


Demand planning applications can help manufacturers establish baseline sales forecasts and perform analysis to improve resource usage. They can also help manufacturers optimize pricing capabilities and better understand their markets. Yet to get the most out of these tools, manufacturers must be willing to reorganize their planning processes—and to share the resulting insights with supply chain partners and customers.

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CDC’s Ross ERP Now TEC Certified


TEC certification is like a software test drive; a chance to look under the hood, kick the tires, take it around the block with some scenarios. [more on TEC Certification here] I wasn’t disappointed during our recent certification of CDC Software’s Ross ERP. First, let me back up and give you a brief overview of the vendor and its product. CDC is a world-wide company, with 1

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ERP: Origins, Developments, and Trends


ERP first developed as a form of inventory control and later grew to link disparate bodies of information together from across the enterprise. Now, ERP enhancements include SCM, CRM, and e-commerce features, just to name a few. However, where is this technology going? What does it mean now?

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Pull vs Push: a Discussion of Lean, JIT, Flow, and Traditional MRP Part 1: Tutorial


Flow manufacturing leverages techniques to help manufacturers create any product on any given day, in any given quantity including the "quantity of one" (i.e., through the so-called mixed-model production), while keeping inventories to a minimum and shortening cycle times in order to quickly fill customer orders.

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The Importance of a Single Product for Data Quality and Data Integration


Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.

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A Definition of Data Warehousing


There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

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Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

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Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

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Informatica PowerCenter 5 Enables Enterprise Data Integration


Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

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Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

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