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Customer Relationship Management (CRM)
Customer relationship management (CRM) focuses on the retention of customers by collecting all data from every interaction, every customer makes with a company from all access points whether they a...
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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

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...
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

customer data base  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...
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

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

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...
Customer Care & Billing RFI/RFP Template
General Requirements, Mediation, Provisioning, Sales and Marketing, Customer Billing, Customer Care, Packages and Promotions, Accounts Receivable, Financial

customer data base  and Marketing Customer Billing Customer Care Packages and Promotions Accounts Receivable Financial Systems Enterprise Data Warehouse Reporting Telephony Products and Services Utility Products and Services CATV Products and Services IP Products and Services EBPP Services Technical Requirements This functional and technical requirement set template covers industry-standard functional criteria of Customer Care and Billing (CC&B) that can help you easily gather and prioritize your business needs in a simple Read More...
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

customer data base  Path to Healthy Data Governance This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s still growing. Many companies are finally treating their data with all the necessary 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

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...
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

customer data base  that are based on customer organization names can be done by first grouping all records by company (using fuzzy matching to resolve approximate matches) and then computing the aggregates for each group. Maintain through Data Monitoring In order to sustain the reliability of data, it is imperative to build controls that constantly assess the quality of data and trigger alerts when data quality levels are threatened. With a data cleansing framework in place, an organization builds up its own profile of 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

customer data base  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. Read More...
Linked Enterprise Data: Data at the heart of the company
The data silos of today''s business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet

customer data base  Enterprise Data: Data at the heart of the company The data silos of today''s business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

customer data base  data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More...
Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both

customer data base  for Owning versus Outsourcing Data Center Physical Infrastructure When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, 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

customer data base  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...
Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

customer data base  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a 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

customer data base  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...

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