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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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Compare Software Solutions
Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 level 2 data flow diagram sales


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

level 2 data flow diagram sales  with the appropriate security level access. Rules A sequence of conditions that determine how incidents or opportunities are routed between Queues and enable responses according to the interaction between documents and people. Roles A set of permissions and functions that determine what a user can do within queues. Routing Settings that determine the flow of an incident or opportunity through the system. Ad-hoc routing The ability for a user to decide how information within a queue is routed, as opposed

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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

Sales Force Automation (SFA)

Sales Force Automation (SFA) systems help sales and marketing teams with functions related to taking orders, generating proposals or quotes, managing territories, managing partners, and maintaining contact data. Systems often include various levels of analytic and reporting capabilities. 

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Documents related to » level 2 data flow diagram sales

Overcoming Barriers to Collaboration with Trading Partners


These days, there is increasing pressure on companies to become more efficient and reduce the bottom line. Improving communication with suppliers, partners, and customers can dramatically optimize business processes and increase responsiveness. But how can you easily improve these channels of communication? Web-based enterprise resource planning (ERP) systems that support Web 2.0 collaboration tools can help. Learn more.

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The Wizardry of Business Process Management: Part 5


Part 1 of this blog series started a lengthy discussion about the value proposition and parts-and-parcels of business process management (BPM), with an ensuing focus on Pegasystems (also known as Pega) as one of the leading BPM suite providers. Part 2, Part 3, and Part 4 then analyzed in depth a number of the vendor’s “BPM secret sauce” ingredients. Pega is one of the leading vendors in the

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Business Intelligence: Driving Better Business Performance for Companies with Changing Needs


When it comes to acquiring business intelligence, small to medium-sized companies are often at a disadvantage. Compared to larger companies, they may lack the resources to process data and turn it into business insight, or their systems may not be able to keep pace with organizational growth. This can severely limit their ability to compete—and ultimately, to survive.

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Managing Lean Manufacturing Using Microsoft Dynamics AX 2009


A supply chain management system (SCM) is a critical success factor for implementing lean manufacturing. The SCM system helps define product structure, costing information, financial information and reports and is a useful tool in the decision-making process.

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Aplicor


The Aplicor software solution is an integrated, wireless, and web-based CRM suite that includes sales force automation (SFA), marketing automation, project office, customer support, and an enterprise portal.  

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Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

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Data Center Projects: Advantages of Using a Reference Design


It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are defined and their benefits are explained.

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Sales Force Automation (SFA) Buyer's Guide


The sales force automation buyer's guide will help you find the ideal sfa system for your company.

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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center


Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.

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