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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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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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 free crm data base


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

free crm data base  Data Management Tools | Free Data Management | Network Data Management | Web Data Management | Test Data Management | Data Management Companies | Global Data Management | Data Lifecycle Management | Online Data Management | Data Management Application | Performance Data Management | Advanced Data Management | Data Management News | Data Accumulation | Data Management White Paper | CRM Data Management | Real Data Management | Safety Data Management | Data Management Consultant | Remote Data Management |

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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

CRM for Financial and Insurance Markets

Customer relationship management (CRM) focuses on the retention of customers by collecting data from all customer interactions with a company from all access points (by phone, mail, or Web, or in the field). The company can then use this data for specific business purposes by taking a customer-centric rather than a product-centric approach. CRM applications are front-end tools designed to facilitate the capture, consolidation, analysis, and enterprise-wide dissemination of data from existing and potential customers. This process occurs throughout the marketing, sales, and service stages, with the objective of better understanding one’s customers and anticipating their interest in an enterprise’s products or services.  

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CRM for Manufacturing vs. Regular CRM


A couple of weeks ago, I published a blog post called Customer Relationship Manufacturing. In this blog post, I described the symbiosis between the sales and production departments within a manufacturing company, mentioned some customer relationship management (CRM) vendors that seem to have adapted their products for the manufacturing industry, and I also promised I would get back to you with

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Three Es of CRM


With product lifecycles accelerating and pricing pressures increasing, organizations must focus on delivering unique customer experiences to differentiate themselves from the competition. Customer relationship management and enterprise resource planning technologies play a critical enabling role.

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The Lexicon of CRM - Part 3: From R to Z


CRM. C.R.M. itself is an acronym, standing for Customer Relationship Management. This is part three of a three-part article to provide explanation and meaning for most of the common CRM phraseology. Here, in alphabetical order, we continue the Lexicon of CRM

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SAP Gives in to CRM (Part Time) Matrimony


On May 2, SAP AG, the leading provider of enterprise software applications, announced a strategic alliance with Nortel Networks to develop and integrate industry-specific CRM solutions.

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Understanding New CRM Functionality: Approaches to Ensure a Well-planned Successful CRM Implementation


Why do some customer relationship management (CRM) implementations fail? The answer: companies’ lack of understanding of their current CRM environments, and of what areas need modification or improvement. Companies with a clear understanding of what they need from a CRM solution—as well as of what CRM means to their business—are more likely to succeed. To clinch that success, some key elements should be assessed first.

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A Roadmap to Data Migration Success


Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

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CRM and Technological Solutions: Be the Customer


In CRM, and now e-CRM, its not about the technology, but about focusing on the locus of importance around which CRM applications grew; namely, the customer. Ignore him at your peril.

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Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

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Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

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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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