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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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 customer data model


Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

customer data model  estimates that poor quality customer data costs U.S. businesses a staggering $611 billion a year in postage, printing, and staff overhead. – Wayne W. Eckerson, Data Quality and the Bottom Line, TDWI Report Series, 2002. More recent articles show the situation has not improved: Poor data quality costs the typical company at least 10% of revenue; 20% is probably a better estimate. – Thomas C. Redman, Data: An Unfolding Quality Disaster, DM Review, August 2004. Companies are investing billions

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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 Care and Billing (CC&B)

Customer care and billing (CC&B) solutions typically support providers of utilities, telephony, cable, or other services providing companies. CC&B software includes functionality for mediation, provisioning, rating, reporting, financial systems, and billing for voice, data, content, and utility services. 

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Documents related to » customer data model

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.

customer data model  also known as : Customer Data Quality , Data Cleansing Service , Data Integration System , Data Cleansing Services , Data Profiling , Data Profiling Software , Data Quality , Data Cleansing Software , Data Governance , Data Integration , Data Quality Analysis , Data Quality Approach , Data Quality Assessment , Data Quality Best Practices , Data Quality Campaign , Data Quality Control , Data Quality Framework , Data Quality Improvement , Data Quality Indicator , Data Quality Indicators , Data Quality Read More

A User Centric WorkWise Customer Conference


WorkWise's business model is all about 'loving the customer'. A recent visit to their Customer Conference showed us the business plan in action. Is it time for other companies to consider this model?

customer data model  their focus on the customer base, management noted that they would pursue select, opportunistic new sales defined as opportunities with companies that approach WorkWise, normally through the introduction by an existing customer. In the last year, WorkWise added four new customers with this limited approach. Approximately 300 users attended the conference, held in Milwaukee WI. The two-day event included keynote speakers, breakout sessions, a solution center and post conference training. Also present Read More

Customer Choices for Achieving Growth


Some will say that the Big Few are in for quite a gamble, given that these market leaders are to introduce a product or concept that directly challenges the model that has led to their success so far.

customer data model  proposition like a large customer base or a non-emulated vertical solution. Otherwise it will face oblivion. If a publicly traded vendor that does not want to be acquired, then the vendor needs to think of some defensive moves prevent acquisition. Going private, which is possible through an infusion of private funding, repurchasing outstanding shares to ensure majority voting power. Maintaining only a necessary level of cash, resorting to the poison pill shareholders provision, merging with a peer as Read More

Social CRM: Customer Relationship Management in the Age of the Socially-empowered Customer


Most of your customers and prospects expect you to be involved in social media—and they’ll be more likely to do business with you if you are. So how do you expand your customer relationship management (CRM) strategy to engage social customers, and gain their trust? Discover how to integrate Web 2.0 social media tools and strategies into your traditional CRM efforts for better, more meaningful customer relationships.

customer data model  Customer Relationship | CRM Customer Relationship Management | CRM Customers | CRM Data | CRM Definition | CRM Demo | CRM Development | CRM Diagram | CRM Download | CRM Evaluation | CRM Failure | CRM Forum | CRM Framework | CRM Global | CRM Goals | CRM Guru | CRM Hosting | CRM Implementation | CRM Industry | CRM Information | CRM Information Systems | CRM Information Technology | CRM Infrastructure | CRM Innovation | CRM Integration | CRM Issues | CRM Knowledge | CRM Knowledge Management | CRM Magazine | Read More

Customer Data Integration: A Primer


Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.

customer data model  2006 Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization's customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service. Unfortunately, this is not always the case. Disparate applications such as billing and call center systems do not Read More

Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

customer data model  Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with Read More

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.

customer data model  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 Read More

Enabling Growth through Business Model Innovation


By understanding and successfully leveraging business model innovation, your company can...

customer data model  For assistance, please contact customer service. Hours: 8:00 AM to 5:30 PM EST. Phone: +1 514-954-3665, ext.367. Read More

Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

customer data model  Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data Read More

Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations


While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of "big data" and the use of analytics to mine that data.

customer data model  a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More

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".

customer data model  UNIX variants based on customer demand). Since the back-end product was written in PERL, which is a portable computer language, implicit multi-platform support has always been available. According to Mr. Leman, future developments include support for middleware, such as product offerings from New Era of Networks , Vitria , and Metagon . Among other unique approaches taken by Metagenix: All employees are stockholders, and the company's financial books are open to them at all times. Sales Engineers report Read More

Model N


Model N’s revenue management solution solves critical business challenges for enterprise life sciences and high-tech companies by linking and automating the complexities of pricing processes, contract creation, rebate management, and regulatory compliance into a system of integrated applications that manage the end-to-end revenue life cycle. Revenue management aligns complex revenue processes for all departments involved—marketing, sales, and finance. Revenue management systems provide a comprehensive infrastructure for placing controls within revenue processes and an automatic audit trail of all actions. These attributes dramatically improve the ability of a company’s financial risk management capabilities and regulatory exposure.

customer data model  revenue management solution, configure price quote, CPQ, price management Read More

Data Quality: Cost or Profit?


Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

customer data model  addresses to the same customer profile. As a result, data becomes corrupted and is then misinterpreted. Having a customer in a database two or more times may create the impression that they are different customers. Businesses may lose money if, for example, they do a mailing campaign based on this customer base. Multiple letters sent to the same customer will double the cost of mailing and fulfillment and reduce company credibility in the eyes of customers. The use of poor quality databases can also lead Read More