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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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 providing online data

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 » providing online data

Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

providing online data  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and Read More

A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

providing online data  target application, and 2) providing detailed data expertise and ongoing monitoring (ownership) demanded by the new application. Team responsibilities include: Participating in the identification of best sources or system of record sources Actively reviewing, creating, and correcting data to support cleansing and reference (master) data requirements Monitoring data quality and data auditing status Sharing and capturing content detail about source system data and business processes Testing and Read More

The Truth about Data Mining


It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

providing online data  establishing a model and providing evidence to either support the underlying theory or establish a lack of evidence to the contrary. Consequently, most statistical packages may not even handle the amount of data that is quite normal in data mining processes. Another distinction is that data collection is a principal component of statistics. Assembling data that is appropriate to test a hypothesis is of paramount importance. Data mining, on the other hand, is applied to data that has already been Read More

Is Fourth Shift Succeeding in Providing 'Complete Customer Care'?


On July 25, Fourth Shift Corporation and SupplierMarket.com announced a partnership that will enable purchasing professionals to locate ideal trading partners, submit RFQs for new contracts, and receive the results of reverse auctions, all from their familiar Fourth Shift vendor operations, manufacturing planning and scheduling, and product definition screens. Earlier, on July 18, Fourth Shift Corporation reported a loss of $.37 per share for the second quarter ended June 30, 2000.

providing online data  Fourth Shift Succeeding in Providing ''Complete Customer Care''? P.J. Jakovljevic - August 14, 2000 Event Summary According to a press release from July 25, Fourth Shift Corporation, a Minneapolis-based global application software vendor for small-to-medium enterprises (SME) and SupplierMarket.com, an Internet marketplace that provides mutual benefits to buyers and suppliers of manufactured direct materials, have partnered to bring together enhanced e-commerce functionality for Fourth Shift users. Fourth Read More

Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

providing online data  subdivided by the organization(s) providing hardware and services '' for example, APC or sub-contractors '' not by steps in the process model. At the most granular level, note that step management is already built into the process, as the owner that is assigned to each step (see Anatomy of a Step in APC White Paper #140, Data Center Projects: Standardized Process. ) Dedicated point-of-contact Regardless of how project management responsibilities are configured, the objective of each management role is Read More

Implementing Energy-Efficient Data Centers


But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

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Agile Data Masking: Mitigate the Threat of Data Loss Prevention


You may not be as protected from data loss as you think. This infographic looks at some ways in which an enterprise's data can be compromised and vulnerable to security breaches and data loss, and shows how data masking can mean lower security risk and increased defense against data leaks.

providing online data  data masking, data security, information security, data loss prevention, data compromise, masking data Read More

Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

providing online data  data science, big data, analytics, data SaaS, data scientist, India, data as a service, real-time data, data analytics Read More

Agile Data Masking: Toward a More Secure and Agile Enterprise


Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. This white paper explores how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility.

providing online data  data masking, data security, information security, data as a service, Delphix, agile data masking, data management Read More

The Importance of a Single Product for Data Quality and Data Integration


Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.

providing online data  SAP,business intelligence,data services,data integration,data quality,integration data,business intelligence data,data integration software,data management services,data quality management,business data integration,business intelligence data warehousing,business objects data integration,crm business intelligence,customer data integration Read More

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.

providing online data  data warehouse,data warehousing,data acquisition,metadata management,data mining,data cleansing,data capture,Data Warehousing definition,Bill Inmon,Ralph Kimball,database technology management experience,data warehouse design expertise Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

providing online data   Read More

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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