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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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 crm data mining


Data Mining: The Brains Behind eCRM
Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data

crm data mining  what those customers wanted. CRM has been a vital information industry segment for many years, but the special needs of Internet businesses for real-time processing of huge volumes of data led to the creation of a flock of startups and the coining of the term eCRM to describe their niche. Some of the special characteristics of eCRM were that it primarily served (and was offered by) dot-com businesses, that it tended to be weak on the traditional kinds of CRM processing, and that it made effective uses

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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 » crm data mining

Ask the Experts: Approaches to Data Mining ERP


From one of our readers comes this question: I am a student of IT Management; I have an ERP course and I am supposed to write an article to review new aspects of ERP systems. I’ve decided to explore the reasons for using data mining techniques in ERP systems—and to look at different modules to which these techniques have been applied. I am going to prepare a framework to determine

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Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

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Connecting Your Executives to the CRM Effort: Becoming (and Remaining) a Data-driven Organization


When businesses commit to implementing customer relationship management (CRM), they commit to realigning their entire organizations around the customer. More specifically, they commit to collecting the right data—and using it the right way at the right time. But if you’re the manager championing CRM in your organization, how do you create the CRM buzz and obtain executive buy-in?

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Why CRM Is So Hard and What To Do About It: Data is key to making CRM work


Making a CRM investment work is a two-step process that begins with unifying disparate systems by creating and managing standardized, reusable business definitions mapped to the different CRM system schemas throughout the organization.

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Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

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CRM: Big is Not Always the Best


Customer relationship management (CRM) solutions can range from simple contact managers (for a few hundred dollars) to multimillion-dollar enterprise applications that take years to implement. This is why over-buying a CRM system can be one of the most costly mistakes a company can make. But where should you start your research? And what steps should you take after that?

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EBSuite CRM


The EBSuite CRM web-based solution uses J2EE and Web Services technologies, and includes sales force automation (SFA), customer support and help desk, marketing automation and online/offline campaign management, project management, and mobile CRM modules.  

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Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

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Data Warehouse vs. Data Mart-Approaches to Implementing a Data Integration Solution


There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting firms across the globe willing to help you build them. However, it’s imperative for each data management solution to specialize to the unique needs of your organization’s business users, across varying functional areas.

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Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

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Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

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Enterprise CRM Platform (ECP)


ECP is a platform of role-specific CRM productivity tools for insurance and financial service professionals, providing complete product line capabilities in a comprehensive, industry-specific solution.  

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Agiline CRM : Customer Relationship Management (CRM) Competitor Analysis Report


This comprehensive, customer relationship management (CRM) knowledge base covers the full range of CRM functionality. Modeled especially to help clients requiring modern B2B or B2C solutions, it covers marketing automation, sales force automation, customer service and support, partner management, contract management and creation, project and team management, Internet sales, e-mail response management, analytics, and important technical criteria.

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