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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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 advantages of data mining in crm


Challenges of the Future: The Rebirth of Small Independent Retail in America
By any measure, retailers are overwhelming small businesses. More than 95 percent of all retailers have only one store. Almost 90 percent have sales less than

advantages of data mining in crm  can leverage their inherent advantages of flexibility and customer intimacy to create a more personalized experience for their customers. While technology permits sophisticated databased marketing and promotions, small independents are still the best poised to get to know their customers individually as they are often a personal part of their lives. Knowledge of customers' birthdays, favorite colors, time of day they like to shop, and other information is not just pleasantry any more. It can be an essenti

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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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Documents related to » advantages of data mining in crm

"Once Bitten” Vendor Is Not “Twice Shy” about New Acquisition


IFS Defence Ltd., a joint venture between BAE Systems and IFS, recently acquired iSC, a British custom software firm. However, some product integration issues and questions about long-term benefits for IFS customers outside the defense sector should be monitored.

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What's Really Driving Business Intelligence?


Typical explanations given for increased spending in business intelligence include, meeting government regulations, managing information overload, tracking corporate goals, and improving competitive response. However, a deeper drive for BI stems from the need to quantify the intangibles that underlie the market value of a business.

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The Total EAM Vision Strategic Advantages in Asset Management


Physical asset management contributes greatly to the achievement of competitive advantages in capital intensive companies. Particularly in the areas of productivity, quality, cost effectiveness, and risk management. If your company has a need to manage physical assets it can benefit from a proven Total EAM solution provided by one of the top-level systems vendors.

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SAS Puts the “E” in “Data”


SAS Institute has applied its data mining technology to the Internet. The company released products that will help companies analyze and predict the behavior of Web surfers. The target customer is one with large volumes of enterprise data that come from a variety of sources.

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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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Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

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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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Welcome to the CRM Showdown: Microsoft Dynamics CRM vs. NetSuite CRM+


I’m Larry Blitz, editor of TEC’s Vendor Showdown series. Today’s Showdown compares two popular mid-market CRM solutions, Microsoft Dynamics CRM and NetSuite CRM+, head-to-head. I hope you find this showdown helpful and informative. I invite your comments and questions at showdown@technologyevaluation.com.

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Your CRM Selection Challenge: CDC Pivotal CRM vs. NetSuite CRM+


Every now and then, I’ll examine the data from TEC’s past software selection projects, and explore the choices users have made. The information below is based on a real-life CRM selection project, but I have modified some of the data in order to respect confidentiality agreements still in place. To put myself in the user’s shoes, here’s how I answered the CRM Evaluation Center

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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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