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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 cleansing


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 cleansing  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 cleansing

Flexible Customer Data Integration Solution Adapts to Your Business Needs


Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data. The type of CDI hub implemented depends on the CDI environment's maturity, requirements, and alignment with an organization's internal processes.

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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.

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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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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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Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

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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.

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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.

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Customer Relationship Management (CRM)


When talking about relationship management in the context of software solutions, most people think of customer relationship management (CRM). However, relationships also exist between companies and their vendors, companies and their customers, vendors and their suppliers, employees, different departments of the same company, and so on. The Relationship Management Evaluation Center concentrates on CRM and supplier relationship management (SRM), as software and information and communication technology (ICT) play a major role in facilitating effective relationship management among all parties involved.

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Building a Customer-centric Enterprise Knowledge Base for Improved Customer Support


Within an organization, knowledge bases (KBs) of known product issues and their resolutions are typically created and managed by customer support teams. Their obvious use is to maintain different types of methods for addressing various client issues. KBs thus become an important tool in an organization’s armamentarium used for supporting its customers. But clients are unable to access these

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Enhancing the Customer Experience with Loyalty Management: Strengthen the Brand and Improve Customer Retention


Customer churn is very costly—it’s many times more expensive to acquire a new customer than to keep an existing one—so retaining customers by offering a superior experience is a top priority. Also, delivering unique experiences to different customer segments is a valuable strategy. Read about how to increase brand equity and retain customers by offering a better experience.

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