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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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 data flow diagram example inventory


Less Stock, More Profit: Inventory Optimization
Inventory optimization is the area where most enterprise resource planning (ERP) software implementations get the highest and fastest return on investment (ROI)

data flow diagram example inventory  as possible. Quality of data is one of the greatest benefits of having an inventory optimization system that is built on the same base as the rest of the ERP solution. The same level of accuracy can never be achieved with an integrated third party 'best-of-breed' solution, which usually looks at only delivery history. A true demand planning solution, such as IBS Enterprise, considers customer order history instead of what was delivered. Calculating forecasts based on past demand patterns gives a truer

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


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data flow diagram example inventory  unnecessary transactions, activities, and data collections. While several years ago prospects were tentatively inquiring about lean capabilities, now they seem to be increasingly requesting them. Companies such as John Costanza Institute of Technology ( JCIT ) have been the pioneering source of the philosophies and techniques behind flow manufacturing, which replaces shop-floor silos, such as machines grouped by their function, and traditional scheduling and forecasting with process or product Read More

The Steel Manufacturing Industry: What Use Is an ERP System, Anyway?


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data flow diagram example inventory  be a company’s IT data backbone application, and helps integrate business activities across multiple departments and sites (or across the entire enterprise). ERP modules range from product planning, parts purchasing, inventory control, and product distribution, to order tracking, and provides business application modules for finance, accounting, and human resources as well. Tier-one vendors such as SAP and Oracle provide full suites of ERP business applications. ERP applications have evolved with new Read More

The Five Sure-fire Strategies for Gaining Management Approval for WMS Projects


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data flow diagram example inventory  Mobile Transactions, and Electronic Data Interchange (EDI). Information to and from INDUSTRIOS’ modules goes to the Sage 300 ERP “treasury” modules through by-directional interfaces that all together allow a client’s business to use a single operational environment with seamless information and data flow. It has to be noted that the INDUSTRIOS solution will soon be integrated with QuickBooks, with plans to also integrate with the Oracle E-Business Suite financial solution. These applications can Read More

Oracle Database 11g for Data Warehousing and Business Intelligence


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Data Warehousing in the Big Data Era: Are You BIReady?


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data flow diagram example inventory  Warehousing in the Big Data Era: Are You BIReady? Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become BI ready. Read More

Demystifying Data Science as a Service (DaaS)


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New Data Protection Strategies


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data flow diagram example inventory  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. Read More

Data Quality Trends and Adoption


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data flow diagram example inventory  of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More

Big Data Comes of Age: Shifting to a Real-time Data Platform


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data flow diagram example inventory  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a Read More

Keeping Cash Flow in Focus While Driving Business Performance


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data flow diagram example inventory  Cash Flow in Focus While Driving Business Performance One of the most basic business axioms, held dear by all firms but especially small companies, is that cash flow is king. Customer payments are essential for fueling all other business activity, from staff salaries, to raw materials, to rent. Growing firms need to be especially attentive to cash flow because sales increases typically require new investments associated with product or service production before payments are received. Learn more Read More

Let the (Excess) Inventory Flow!


Because companies focus primarily on new product development and promotion, the problem of excess and obsolete inventory, once addressed, often leads to both the inventory and dollars flying out the door. There should be smarter ways of handling this problem.

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The Teradata Database and the Intelligent Expansion of the Data Warehouse


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data flow diagram example inventory  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 Garcia looks at the Teradata Read More

The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

data flow diagram example inventory  Necessity of Data Warehousing The Necessity of Data Warehousing M. Reed - August 2, 2000 Why the market is necessary Data warehousing is an integral part of the information age . Corporations have long known that some of the keys to their future success could be gleaned from their existing data, both current and historical. Until approximately 1990, many factors made it difficult, if not impossible, to extract this data and turn it into useful information. Some examples: Data storage peripherals such Read More