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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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 inventory data flow diagram example


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)

inventory data flow diagram example  most critical part of inventory optimization, and therefore the data must be as accurate 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

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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 diagram example

Optimize Internal Supply Chain


The new reality for manufacturing CIOs is that budgets are far less than what they used to be and the ability to provide business intelligence to front line users in a simple and workable format is a new measure of information technology (IT) performance.

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Cost-justifying Warehouse Management Technologies in Small and Midsized Warehouses


The warehouse management system (WMS) concept has matured into a collection of time-tested technologies that reduce inventory costs and increase overall inventory management efficiencies. By implementing WMS technology, organizations can achieve a higher return on their software dollars and provide better service to their customers. A WMS can provide organizations with tangible benefits that improve warehouse operations without adding headcount.

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


TEC regularly works with companies to identify the right software vendors for their industry and particular needs. I’m going to provide you with information about ERP systems and how they relate to steel industry requirements (note: you can always consult our Vendor Showcase to find out more about specific software vendors). An ERP system is typically considered to be a company’s IT

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


Despite the consensus that warehouse management systems (WMS) offer many benefits, getting approval for a new system is challenging. You need to get key decision makers in operations, IT, and finance—as well as the executive team and the board of directors—to see value in the proposed WMS. But how can you improve your chances of getting management approval? Discover five strategies for information-gathering and approval.

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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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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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Big Data: Operationalizing the Buzz


Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more.

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Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

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Tailoring SAP Data Management for Companies of All Sizes


The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management.

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Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

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