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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 privacy data


Protecting Customer Data: How Much is Your Customer’s Trust Worth? Part I: The Business Case for Privacy
Customers are a company’s true source of value creation, and maintaining their trust is imperative. When companies understand this, privacy protection will

customer privacy data  Customer Data: How Much is Your Customer’s Trust Worth? Part I: The Business Case for Privacy Customers are a company’s true source of value creation, and maintaining their trust is imperative. When companies understand this, privacy protection will become an important business tool, rather than just a regulatory requirement (as many companies think of it). Obtaining, using, and especially protecting customer data has never been more important to the strength and positioning of a company’s

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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 privacy data

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.

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Feds Buckle Down on Customer Information Security


In an effort to improve the state of consumer privacy, Federal Reserve Board, the Federal Deposit Insurance Corporation (FDIC), the Office of the Comptroller of the Currency (OCC), and the Office of Thrift Supervision, on January last year announced that they have put together joint guidelines to safeguard confidential customer information. The guidelines, that took effect last July, implement section 501(b) of the Gramm-Leach-Bliley Act (GLBA) initiated by the Senate Banking Committee, and passed into law on November 4, 1999. This announcement had significant implications for online banking institutions.

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Privacy Challenges for Data Providers


Ensuring the quality, accuracy, and security of customer data has never been more important than it is today. The growing potential for privacy breaches and tighter compliance regulations have created unique challenges and responsibilities for many data providers. Here we discuss some of the key privacy issues surrounding data management, and how partnering with a provider of master data management (MDM) software can help.

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Global Data Privacy Ensuring International Compliance for Your Organization


In an increasingly global and interconnected economy, many companies are moving to cloud-based, global HR solutions. But for multinational and other large organizations, this means meeting stringent region-specific rules and regulations governing data privacy. It’s important to understand not only the applicable policies for the region in which your company is headquartered, but also for each jurisdiction where your company has employees.

Each employer has the responsibility to learn and follow the relevant international regulations regarding data privacy. Learn which of these provisions applies to your organization and what you can do to ensure compliance in this white paper.

Privacy is likely to be a critical topic for multinational organizations for years to come. Therefore each multinational organization must seriously consider these data handling rules and regulations. Laws and regulations such as the EU Data Protection Directive, Safe Harbor, and PIPEDA, to name just a few, have hefty fines and potentially even criminal penalties for organizations that fail to follow these guidelines.

This white paper looks at data privacy in the European Union and elsewhere around the world, and provides a list of questions to ask about a potential solution when choosing a human capital management (HCM) solution provider, information that can help you avoid the risks surrounding data handling and ensure all of your employee and customer data remains safe, secure, and compliant into the future.

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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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Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

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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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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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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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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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