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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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 proquest journals databases


eEmpACT Staffing Software
Developed specifically for the staffing industry, eEmpACT software combines a complete order/assignment, placement, and resume retrieval system with

proquest journals databases  

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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

Business Process Management (BPM)

Business process management (BPM) defines, enables, and manages the exchange of enterprise information through the semantics of a business process view, which involves employees, customers, partners, applications, and databases.  

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AuraPortal BPMS: Business Process Management (BPM) Competitor Analysis Report


Business process management (BPM) defines, enables, and manages the exchange of enterprise information through the semantics of a business process view, which involves employees, customers, partners, applications, and databases.

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Enterprise Application Integration has changed massively in the past two years. Where is the market, and what vendors are left in the game?

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DataArt's software expertise spans a range of programming languages, databases, and networking systems on Windows and Unix platforms. The company has experience with C, C++, ASP, .NET (C#, ASP.NET, VB.NET), DHTML, VB, Perl/PHP, MS SQL, MySQL, Oracle, COM+, XML/XSL, OC4J, Java, and J2EE. Its application expertise includes Internet/intranet data and knowledge management, e-business, content management, project management, and B2C portal technologies.    

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TDWI Checklist Report: Analytic Databases for Big Data


Many organizations in today's “big data” world are contemplating a replacement of their analytic databases and data warehouses to keep pace with new requirements for advanced analytics, and they are turning more and more to specialized analytic database management systems (DBMSs). Within the DBMS arena, there’s a slow trend away from practicing analytics with relational DBMSs that were originally designed for OLTP and towards analytic databases that provide computing architectures designed for complex queries, analytic algorithms, high performance, and terabyte-size scalability. This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data, and defines the many techniques and tool types involved.

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CRM Analytics Brings More Profitability


Targeting your best customers and personalizing your relationship with them, implies an in-depth understanding of their behavior.

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The documents, spreadsheets, databases and other files on the personal computers used to conduct business are corporate assets. It cost money to create them and that investment should be protected. Additionally, companies have both competitive and legal obligations to assure that such data is kept private and secure. Many companies and most people are unaware of the obligation and potential threats.

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Case Study: Alltech


Alltech, a multinational biotechnology company providing natural solutions to the feed and food industries, found itself with a disjointed, IT infrastructure with overlapping accounting systems. Using a powerful dashboard, users can view information from sixty-three databases to manage the business more proactively.

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The Business Case for Tokenization


Tokenization is a new type of technology that is being used by companies to reduce the risk of losing sensitive data to identity thieves. This paper discusses how you can make practical use of tokenization to reduce your risk. Additionally, this paper discusses specific target applications in your organization that you should consider for an implementation of tokenization.

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Creating the Single Customer View


With today’s strategic focus on data, a significant challenge facing companies is the ability to use data to create a single customer view (SCV). An SCV means that a company has a accurate and complete view of their customers across all applications, databases, and customer touch points. The financial, operational, customer satisfaction, and regulatory effects of unreliable SCVs are overwhelming.

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Choosing the right way of migrating MySQL databases


This white paper examines the use cases of database migration and challenges that accompany it. The main attention is devoted to solutions used to remove the complexity and bottlenecks of database migration. This white paper introduces Devart's Schema and Data Compare tools tailored to facilitate any database migration tasks and reduce time and effort.

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