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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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 basic software application data flow diagram examples


The 2008 Handbook of Application Delivery: A Guide to Decision Making
IT organizations can no longer manage networks in isolation from the applications they support, requiring a shift from focusing on devices to a focus on

basic software application data flow diagram examples  Dictionary Compression The same basic LZ data compression algorithms discussed earlier can also be applied to individual blocks of data rather than entire files. Operating at the block level results in smaller dynamic dictionaries that can reside in memory rather than on disk. As a result, the processing required for compression and decompression introduces only a small amount of delay, allowing the technique to be applied to real-time, streaming data. Congestion Control The goal of congestion control is

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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

Outsourcing, Applications Software

This RFP is focused on the selection of companies who provide outsource services in the areas of application software. The typical types of activities that these outsource providers perform include software development; software maintenance; software reengineering/rearchitecting; porting software to a new platform; defect correction and bug fixing; and software testing; etc. Application areas could include core applications, enterprise applications, web applications, integration between applications, mainframe applications, desktop applications, wireless applications, software packages, and games. 

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CRM Without Workflow Is Not CRM: How to Maximize Sales and Service Productivity


Since there are multiple vendors offering hosted customer relationship management (CRM) applications, the buyer’s toughest decision is finding a vendor that offers the many benefits that come from a workflow engine similar to those used in multimillion-dollar CRM deployments. Truth be told, CRM alone is not enough, as not all providers have a workflow engine which enables full process automation.

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Less Stock, More Profit: Inventory Optimization


Inventory optimization is the area where most enterprise resource planning (ERP) software implementations get the highest and fastest return on investment (ROI). However, many companies implementing an ERP solution don’t add a dedicated inventory optimization module. Learn how inventory optimization can offer companies huge potential to maximize the value of IT investments—and keep inventory levels at the right balance.

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Streamlining for Success: The Lean Supply Chain


When flexibility and speed are requisites for success, it’s the lean organization that leads the race. World-class manufacturing organizations know the value of focusing on the lean fundamentals: eliminating waste, simplifying processes, and continuously improving. By pursuing lean strategies—optimizing inventory and streamlining manufacturing processes—they can reduce inefficiencies and costs in their production processes, and improve customer responsiveness.

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Reporting Tools


Analysis and reporting services are an important part of the enterprise resource planning process. Microsoft Dynamics NAV has been designed to give users options for optimal analysis and reporting, and to leave room for partners to provide customized solutions. With the correct reporting tools and Microsoft Dynamics NAV, practical analysis and reporting is available and adaptable to individual users’ needs.

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The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

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Streaming Data and the Fast Data Stack


Big data is data at rest; fast data is streaming data, or data in motion. A stack is emerging across verticals and industries for building applications that process these high velocity streams of data. This new stack, the fast data stack, has a unique purpose: to grab real-time data and output recommendations, decisions, and analyses in milliseconds.

This white paper will look at the emerging fast data stack through the lens of streaming data to provide architects, CTOs, and developers with fundamental architectural elements of the new fast data stack: a LAMP stack for streaming data applications.

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Build Web 2.0 Applications without Hand-coding: Use Application Generation to Expedite Web Application Development


Web 2.0 applications, perceived by many software users as better looking and easier to use than traditional apps, can provide many benefits to your company. However, building Web 2.0 apps adds development burdens of security, transaction management, and a variety of user interface features. To conquer these issues, you might consider an application generator to eliminate hand-coding infrastructure programming. Learn more.

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A Software-as-a-service Primer for Independent Software Vendors


Unlike many over-hyped technology trends of the past, software-as-a-service (SaaS) is producing real business benefits for organizations of all sizes across nearly every industry. This primer outlines how independent software vendors (ISVs) must respond to these realities in order to meet the changing needs of their customers, employees, and business partners; and ensure their long-term viability and competitiveness.

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Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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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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