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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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 build data flow diagram


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

build data flow diagram  point-of-use locations, RIP, and build or supply materials when location needs to be replenished. These features are attractive at least to existing ERP users and particularly automotive suppliers, who have been pinched by a tightening economy and are under pressure to speed up operations and adopt JIT and lean manufacturing practices. The requirements for the automotive industry, which is particularly conducive to the deployment of lean concepts, are critical even in the accounting arena where evaluated

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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

HCIMS - Clinical Information System RFI/RFP Template

ADT (admission, discharge, and transfer), Global Requirements, Patient Information, Orders, Plan of Care, Work Plan, Kardex and Summary, Flow Sheets and Vitals, MAR and Medications, Critical Care, L&D Fetal Monitoring, Clinical Record, Reference and Reports, HIPAA (Health Insurance Portability and Accountability Act), Interfaces, Ease of Use, Technical and Support, and Product Technology  

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Advanced Front Office Lean with Business Modeler Software


When part of an enterprise software environment, business modeler software can reduce training costs, prevent errors, and minimize non-value added work. And if properly integrated, it can be both a tool for senior management and for hands-on system users.

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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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Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization


Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.

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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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Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

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Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

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Big 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 unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

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2012 Business Data Loss Survey results


This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now.

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A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

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The Fast Path to Big Data


Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized way—will gain sustainable competitive advantages.

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