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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 base

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 base

Voice Self-Service Leverages the Knowledge Base to Improve Customer Interactions


Deploying voice self-service (VSS) is undeniably attractive to enterprises because it improves the speed, consistency, and convenience of information sent to customers, and decreases costs. Knowledge bases play a key role in helping enterprises achieve greater return on investment because they link web- and speech-based self-services together. In particular the emergence of VoiceXML has truly shifted speech and IVR platform hosting options.

customer data base  To better service changing customer needs, it is imperative to continually monitor all channels of self-service to see if they are effective in handling requests. Some hosting alternatives include ongoing tuning of voice self-service systems and part of the minutes-of-use charges. Leverage reusable components. A growing library of reusable speech components is emerging and can be aligned with a company''s knowledge base content. This will help reduce costs and speed deployment. Yankee Group Yankee Group Read More

Rover Data Systems


Rover Data Systems, Inc. was founded with the express purpose of providing an Enterprise Software Solution to address the needs of small and medium-sized Manufacturers and Distributors. During the time that Rover Data Systems has been in business it has accumulated a satisfied customer base, all running their business functions on Millennium III (M3) software. These companies range from the small (<$10M) to the mid-range (>$100M) and cover a broad range of industries from Electronics Manufacturing to Auto Aftermarket Manufacturing to distribution and service. Over the years, the company has also distinguished itself by providing excellent service to its growing installed base. In fact, Rover Data Systems has never lost an installed account to a competitive software product. The first customer still runs all of their operations on the Millennium III Enterprise System.

customer data base  has accumulated a satisfied customer base, all running their business functions on Millennium III (M3) software. These companies range from the small ( Read More

Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

customer data base  and reconciling with the customer and/or vendor. Again, shipping errors due to bad data have the potential of creating lost sales or worse - lost customers. Lost opportunity can often be directly related to bad data. Failed electronic communication projects (EDI, XML, etc), that are unable to take advantage of content feeds from data sources, vendors or customers - and the cost of employee time and effort spent cleaning up errors - can mean business opportunities lost to competition. Many industries have Read More

St. Marys Paper Ltd.: Customer Profile


St. Marys Paper Ltd. is a pulp and paper mill located in Sault Ste. Marie, Ontario (Canada). In 1989, it implemented a CHAMPS computerized maintenance management system (CMMS) to help reduce costs and improve efficiencies. In 1998, St. Marys decided to investigate potential vendors for a maintenance system upgrade. After reviewing several vendors, the mill again turned to CHAMPS.

customer data base  St. Marys Paper Ltd.: Customer Profile : Maintenance System | Advanced Maintenance Systems | Based Maintenance System | Best System Maintenance | Best System Maintenance Program | Best System Maintenance Software | Collection System Maintenance | Computer System Maintenance Software | Concrete Maintenance Systems | Creative Maintenance Systems | Diversified Maintenance System | Doing System Maintenance | Electronic Maintenance System | Equipment Maintenance System | File Maintenance System | Free System Read More

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.

customer data base  Data Storage Management , Customer Data Management , Data Warehouse Management , Data Management Marketing , Server Data Management , Data Management Solutions , Data Management Technology , Data Content Management , Data Centre Management , Data Management Tools , Free Data Management , Network Data Management , Web Data Management , Test Data Management , Data Management Companies , Global Data Management , Data Lifecycle Management , Online Data Management , Data Management Application , Performance Read More

Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

customer data base  Blending for Dummies Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant. Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data Read More

How to Achieve a Great--and Profitable--Customer Experience


Learn how to deliver superior customer service in How to Achieve a Great and Profitable Customer Experience.

customer data base  it‘s all about the customer experience. How does your company stack up? Learn how to deliver superior customer service in How to Achieve a Great—and Profitable—Customer Experience . You''ll discover what it takes to have customers who spend more pay higher rates remain loyal to your company champion your brand to friends, peers, and business associates Find out how to out-perform your competition where it matters the most. Download your PDF copy of How to Achieve a Great—and Profitable—Customer E Read More

Is Your Store Customer-centric?


Most retailers might say that they are customer-centric, but what does that really mean? After all, there is a huge difference between simply serving a customer and centering on a customer's specific needs and satisfaction.

customer data base  between simply serving a customer and centering on a customer''s specific needs and satisfaction. Students of Your Customers Customer-centric stores are students of their customers, which means that they literally go to school to learn as much as they can about their customers'' needs, wishes, dreams, hopes, wants, and desires. Every customer is different. A customer-centric retailer recognizes this fact, and also recognizes that it cannot create a different environment for each individual customer. Read More

The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

customer data base  Necessity of Data Warehousing The Necessity of Data Warehousing M. Reed - August 2, 2000 Why the market is necessary Data warehousing is an integral part of the information age . Corporations have long known that some of the keys to their future success could be gleaned from their existing data, both current and historical. Until approximately 1990, many factors made it difficult, if not impossible, to extract this data and turn it into useful information. Some examples: Data storage peripherals such Read More

Addressing the Complexities of Remote Data Protection


As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

customer data base  the closest contact with customers and business partners and therefore can have a dramatic impact on the success of the business. Analysts estimate that there are more than four million remote offices in the United States alone. Many of these offices run autonomously from headquarters and are responsible for managing their own operations - including protecting and retaining the electronic information that they generate. Ignoring the protection and recovery needs of this remotely stored data is simply not Read More

Customer-centric CRM


Companies implement a customer relationship management (CRM) system to balance increasing revenue, decreasing costs, while enhancing the customer experience. However, many implementations fail to do this. Companies, however, can meet these goals by implementing a customer-centric CRM. In this system, all business processes throughout the extended enterprise are optimized around customer life cycle care, which builds stronger relationships.

customer data base  CRM Companies implement a customer relationship management (CRM) system to balance increasing revenue, decreasing costs, while enhancing the customer experience. However, many implementations fail to do this. Companies, however, can meet these goals by implementing a customer-centric CRM. In this system, all business processes throughout the extended enterprise are optimized around customer life cycle care, which builds stronger relationships. Read More

Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

customer data base  Visualization: When Data Speaks Business For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages Read More

How to Achieve a Great--and Profitable--Customer Experience


Profitable customer experience (CE) strategies are holistic, sustainable, and focused on creating competitive differentiation. If you can deliver highly valuable experiences to your customers, in a sustainable way, the reward will be loyal, engaged advocates who help you grow your business. Read more to better understand how companies can provide a superlative customer experience and still make a profit.

customer data base  -and Profitable--Customer Experience Profitable customer experience (CE) strategies are holistic, sustainable, and focused on creating competitive differentiation. If you can deliver highly valuable experiences to your customers, in a sustainable way, the reward will be loyal, engaged advocates who help you grow your business. Read more to better understand how companies can provide a superlative customer experience and still make a profit. Read More

Six Steps to Manage Data Quality with SQL Server Integration Services


Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

customer data base  Business Data Quality , Customer Data Quality , Data Quality , Data Quality Center , Data Quality Control , Data Quality Improvement , Data Quality Analysis , Data Quality Articles , Data Quality Assessment , Data Quality Indicator , Data Quality Indicators , Data Quality Business Intelligence , Data Quality Initiatives , Data Quality Issues , Data Quality Management , Data Quality Measurement , Data Quality Measures , Data Quality Methodology , Data Quality Methods , Data Quality Metrics , Data Quality Read More