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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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 example data flow sales


Best Practices of the Best-run Sales Organizations: Sales Opportunity Blueprinting
To move your sales team to the next level, you need to find answers to several questions. For example: How do you determine which customers provide the best

example data flow sales  the new territory. For example, Brenntag Canada has reduced seller ramp-up time from 12 months to 6 months due to the effective transition of data from seller to seller. Another benefit of standardized data is the ability to model market expectations based on price fluctuations. Marketing managers can utilize customer data to quickly understand the effects of a price change and view where the competition has the most entrenched position. The ability to analyze market initiatives and fluctuations based on

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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 » example data flow sales

Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

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The Web-Enabled Sales Process


Traditional enterprise-level sales strategies are no longer sufficient in bringing new customer accounts. Today's self-directed buyers delay sales contact and pre-qualify solutions via the Internet. Sales can leverage this medium by understanding the buy cycle to deliver value and begin an influential on-line relationship.

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How to Evaluate a Sales and Operation Planning System


The features available in today’s sales and operations planning (SOP) systems make these systems indispensable assets for an organization. Reporting tools and graphical representations are just a couple of these key features. Find out what else to look for in an SOP system.

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Successful Sales and Operations Planning in Five Steps


A sales and operations planning (S&OP) meeting is a critical decision-making activity that sets the overall direction for the company. Executives discuss trade-offs between customer service, inventory investments, production capabilities, supply availability, and distribution concerns, in order to balance generating profit with satisfying operational goals. Learn the five essential steps for successful S&OP planning.

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Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

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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.

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Operationalizing the Buzz: Big Data 2013


The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and use to explore why and how companies are utilizing Big Data. Download the report and get all the results.

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Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

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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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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.

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