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Software Functionality Revealed in Detail
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 meaning of data flow diagram symbols


Begin at the End: A Good Lean Strategy Starts with Defining Your Ultimate Goal
You know the statistics—lean can shorten your lead times, reduce inventories, cut operating costs, free up resources, and more. But countless surveys have

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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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Documents related to » meaning of data flow diagram symbols

Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

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Forecasting Total Cost of Ownership for Initial Deployments of Server Blades


For organizations deploying many servers, total cost of ownership (TCO) analyses favor blade over rack-optimized systems. Blade server systems—reducing both capital and operating expenses—exploit economies of scale when deploying servers in volume. Saving power, cooling, and space by more than 25 percent, the blade advantage is particularly relevant for servers working in conjunction with storage area networks (SANs).

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Maximize the Green Efficiency of Multi-Site National Rollouts of Technology


The service industry consumes millions of gallons of fuel and expends trillions of pounds of carbon monoxide each year as trucks roll to installation and service locations. Eliminating unnecessary travel is one way service companies can help protect the environment, and meet environmental compliance requirements. Discover a methodology that can help you reduce your fleet’s fuel consumption and carbon monoxide emissions.

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Achieving a Successful Data Migration


The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

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Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

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The Impact of CRM and Sales Process: Monetizing the Value of Sales Effectiveness


To work through all the issues necessary to improve sales performance, executives have a number of options for leveraging people and knowledge. However, an area that shows significant potential for helping sales teams meet or exceed their goals is the effective alignment of sales process and technology. Executives looking to optimize performance should consider this approach to achieve their goals.

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Agile Data Masking: Critical to Data Loss Prevention and Threat Reduction


Over the past several years data loss and data leaks have been a regular part of headline news. This surge in data leak activity has prompted many organizations to reevaluate their exposure to data leaks and institute automated, agile approaches to data masking. Well-implemented data masking secures data delivery and enhances compliance and security while accelerating data management processes.

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Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

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Customer Success Story: University of Maryland School of Medicine


The University of Maryland School of Medicine had already experienced VMware technology as a way to consolidate its servers; what it didn’t realize was that the company’s solution could also address its disaster recovery needs. By combining two storage technologies—creating a common storage area network (SAN)—the school has reduced unexpected downtime from hours to seconds and has saved thousands of dollars in hardware costs.

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Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

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