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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 by 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 by data mining  likewise, the line between CRM and eCRM will become too hazy to matter. Some objectives of eCRM are to: Enable marketing departments to identify and target their best customers, manage marketing campaigns with clear goals and objectives, and generate quality leads for the sales team Assist organizations in improving telesales, account, and sales management by optimizing information shared by multiple employees, and streamlining existing processes Tailor relationships with customers to improve customer

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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 by data mining

Microsoft says OLE for Data Mining: Is it Bull?


Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a proprietary data mining specification. It is purported to extend the Structured Query Language (SQL) to allow easier and faster incorporation of data mining queries into existing data warehouse solutions.

crm by data mining  Provider Services by our CRM solutions and application products. OLE DB for Data Mining has been under vendor review and modification since its introduction last May at Tech*Ed '99 and now incorporates the Predictive Model Markup Language (PMML) standards from the Data Mining Group, an industry consortium that facilitates the creation of useful standards for the data mining community. PMML is an XML-based language that provides a quick and easy way for organizations to define and share data mining Read More

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?

crm by data mining  to truly sponsor the CRM initiative by plugging into the effort. What can you, one of the primary sponsors, do? Develop a plan of CRM awareness activities for the next six to 12 months. Include industry information such as posters, intranet articles, surveys, newsletter articles, and updates during weekly team status meetings. Always make sure to include updates on the CRM initiative in your normal internal communications. Conduct meetings with individual employees on a planned, scheduled basis to Read More

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.

crm by data mining  To summarize, 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. These maps, which direct CRM data movement across systems, are accessible to third-party tools via SOAP and Java APIs that make it possible to map common CRM, customer and business definitions across transactional and legacy systems. Having accomplished the Read More

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.

crm by data mining  Management White Paper | CRM Data Management | Real Data Management | Safety Data Management | Data Management Consultant | Remote Data Management | Provider Data Management | Automated Data Management | Data Management Vendors | Data Management Guide | Data Management Best Practices | Data Management Methodology | Data Management Roles | Data Management Goal | Data Center Management Best Practices | Business Intelligence Data | Managing Information Report | Managing Information White Paper | Data Read More

Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

crm by data mining   Read More

Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

crm by data mining  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices Read More

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

crm by data mining   Read More

Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

crm by data mining  prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More

Dynamics 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.

crm by data mining  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. Read More

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.

crm by data mining  the Complexities of Remote Data Protection Because data protection is a concern for organizations of all sizes, IBM offers remote data protection for the enterprise, as well. This high performance and easy-to-use service delivers consistent and cost-effective data protection without increased network investment. Source: IBM Resources Related to Addressing the Complexities of Remote Data Protection : Continuous Data Protection (CDP) (Wikipedia) Addressing the Complexities of Remote Data Read More

Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

crm by data mining  Gross Margin over Continously Cleansed Data Optimizing Gross Margin over Continously Cleansed Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Advanced functionality to manage costs, sell prices, promotions, discounts, chargebacks, and other key attributes while optimizing gross profits. Source : epaCUBE Resources Related to Optimizing Gross Margin over Continously Cleansed Data : Data cleansing (Wikipedia) Gross margin Read More

YOur CRM Solution in Our 2011 CRM Buyer's Guide


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crm by data mining  CRM Solution in Our 2011 CRM Buyer's Guide YOur CRM Solution in Our 2011 CRM Buyer's Guide Here's your chance to highlight your CRM solution to more than a million sales, marketing, and finance executives with the 2011 TEC Customer Relationship Management (CRM) Buyer's Guide*. Don't miss this unique opportunity to reach our large, targeted IT audience Promoted to more than a million TEC members and newsletter subscribers—and sent to thousands of qualified companies that have evaluated CRM software Read More

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.

crm by data mining  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 Read More