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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 symbols yourdon


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

data flow diagram symbols yourdon  , Lean Manufacturing Epic Data , Lean Manufacturing Guide , Lean Manufacturing Optimization , Lean Manufacturing Principles , Lean Manufacturing Solutions , Lean Manufacturing Strategy , Lean Manufacturing Systems , Lean Manufacturing Tools , Lean Process Design , Lean Product Development , Lean Strategy , Lean Strategy , Lean Tools , Value Stream Mapping , Value Stream Simulation Table Of Contents The Lean Paradox Traditional Approaches to Lean 5S Kanbans Kaizens Value-Stream Maping A Better Approach

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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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Evoke Software Releases Axio Data Integration Product


Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a unified view of a business. The product has a very intriguing method of metadata scanning, and should have significant market impact.

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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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A Solution to Data Capture and Data Processing Challenges


Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems.

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Flexible Customer Data Integration Solution Adapts to Your Business Needs


Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data. The type of CDI hub implemented depends on the CDI environment's maturity, requirements, and alignment with an organization's internal processes.

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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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Data Quality Trends and Adoption


While much 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.

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10 Errors to Avoid When Building a Data Center


In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

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Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

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Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

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Data Quality: Cost or Profit?


Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

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