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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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 mening of logical data flow diagram


Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

mening of logical data flow diagram  

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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 » mening of logical data flow diagram

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.

mening of logical data flow diagram  business intelligence,BI,data warehouse,data mart,NULL values,master data management,data profiling,data cleansing,data monitoring,data mining,extract,transform,and load,ETL,quality screens Read More

Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

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The Path to Healthy Data Governance


Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex corporate view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

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Fear of the Unknown, the Art of War, and Competitiveness


It is not unusual to use the metaphor of war to construct theories of business competition—substituting competing vendors for the mortal enemy. But what about the enemy within? And what if it is in fact a company's strongest resource?

mening of logical data flow diagram  Microsiga,competition,Latin American software market,market variations,enterprise software,competition factors,consumer education,protectionist policies,business objectives,enterprise management Read More

Data Storage in the Cloud-Can you Afford Not To?


Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.

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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

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The Value of Measuring End-User Experience from a Global Point of Presence


As businesses expand to different geographies and markets, they develop new types of online tools and services to ensure growth. As end users interacts with these tools, it becomes critical to gain insight into the end-user experience. This white paper discusses the need to measure end-user experience from a global perspective and also how Site24x7 can help organizations achieve optimal level of quality end-user experience.

mening of logical data flow diagram  Web Application Monitoring,Web Application Delivery Chain,monitoring of application performance,web application monitoring service,end user experience,ManageEngine,ZOHO Corporation Read More

Oracle Database 11g for Data Warehousing and Business Intelligence


Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.

mening of logical data flow diagram  data warehouse,data warehouse architecture,data warehouse concepts,data warehouse software,data warehousing analysis,data warehouse community,data warehouse automation,data warehousing olap Read More

Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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State of the Art in TCO: Managing the Total Cost of Ownership


Total cost of ownership (TCO) is one of the most difficult metrics to benchmark. Even when using the clearest of metrics, companies often obtain inadequate results. Instead of thinking solely about how to calculate and reduce TCO, companies should think about how to manage TCO from a business perspective, in order to leverage solid, results-oriented decisions about IT solutions.

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The Value of Big Data


As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

mening of logical data flow diagram  big data,data management,analytics,SAP Read More

Software-as-a-service ERP versus On-premise ERP through the Lens of Total Cost of Ownership


This IDC white paper looks at the growing applicability of software as a service (SaaS) for enterprise-level business applications, and analyzes the adoption rate and total cost of ownership (TCO) of this technological approach. Download this white paper to find out how a hosted option can drive significant cost savings, reduce initial implementation times, and bring new functionality with relative ease and convenience.

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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.

mening of logical data flow diagram  data migration,process of transferring data,data migration solutions,high speed data migration,data migration tool,data tape recovery,data migration strategies,migrate data cost-efficiently,data migration guide Read More