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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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 interaction data


Enhancing Interaction Center ROI in Turbulent Economic Times: Beyond Traditional Data Sources for Workforce Automation
Interaction center managers must deliver greater value on smaller budgets. But you can’t simply cut costs and services, or your customers won’t remain satisfied

interaction data  precise and relevant customer interaction data - including enterprise resource planning systems, third-party software, and in-house development (such as a custom Web channel application) - can be considered as new sources for workforce optimization software. And by using CRM , business communication management software, and other appropriate data sources for workforce optimization applications, companies can achieve myriad benefits. Standard channel data and interaction details can be enhanced with

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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

Customer Relationship Management (CRM)

Customer relationship management (CRM) focuses on the retention of customers by collecting all data from every interaction, every customer makes with a company from all access points whether they are phone, mail, Web, or field. The company can then use this data for specific business purposes, marketing, service, support or sales while concentrating on a customer centric approach rather than a product centric. Customer relationship management defines methodologies, strategies, software, and other web-based capabilities that help an enterprise organize and manage customer relationships. Customer relationship management 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 » interaction data

The Next Big Thing or Integration-The Interaction Server Part 2: Possible Solutions


Web Services is a no-brainer as a standard mechanism for providing access to enterprise applications and data; this will allow businesses to create words out of alphabet soup (ERP, SFA, CRM, EAI, EJB, COM, BFD). Nothing about Web Services, however, addresses the front-end complexity of dealing with multiple channels, such as supporting disconnected devices and asynchronous interaction models that are required by wireless and mobile connectivity.

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Merging Tactical and Strategic Information to Perfect the Customer Interaction Experience


Industry observations indicate that few enterprises have been successful in implementing seamless networks to provide consistently updated customer information across multiple channels of access, including data stored and used within and outside contact center applications. There are several reasons for this lack of success—in particular the method by which these multichannel contact centers were developed in the first place.

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Infor Will Launch Interaction Advisor on the Salesforce Platform


Infor will make its Epiphany Interaction Advisor available to Salesforce Platform users. Infor's Interaction Advisor assists customer-facing professionals with guessing client behavior and future purchases by creating a real-time customer profile. Client profiles are constructed from a collection of historical, personal, and contextual data. Furthermore, the Interaction Advisor employs real-time

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A Definition of Data Warehousing


There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

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Data Management and Business Performance: Part 1-Data


Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of

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Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

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Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

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A Solution to Data Capture and Data Processing Challenges


Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems.

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Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

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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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