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Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

customer data  2006 Introduction Implementing a customer data management system can be the difference between success and failure in terms of leveraging an organization's customer relationship management (CRM) system. Since customers drive profitability, organizations need a way to provide their employees with a single view of the customer and to provide that customer with above-average customer service. Unfortunately, this is not always the case. Disparate applications such as billing and call center systems do not Read More...
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


Your 360-degree View of the Customer: Keep the Customer in View
Vendors of customer relationship management solutions, and the companies that use those solutions, praise the advantages of having a 360-degree view of the

customer data  software solutions that contain customer data need to be integrated so that you can have a single version of the truth. This also simplifies data management and analysis. Finally, try to monitor your customers on social media and include your findings in their profile, along with the enterprise data. Conclusion You can build and enhance your 360-degree view of the customer by creating customer communities, developing social media initiatives, using feedback gathering processes and tools, analyzing your in Read More...
Laying the Foundation for Customer Data Integration
For increased revenues and improved profitability, customer data integration (CDI) should be a vital part of your business processes. CDI, unlike customer

customer data  the Foundation for Customer Data Integration For increased revenues and improved profitability, customer data integration (CDI) should be a vital part of your business processes. CDI, unlike customer relationship management (CRM), can deliver a valuable single view of a customer, without necessitating yet another complex system needing vast technical and organizational effort. Learn about CDI’s core capabilities, and which style of CDI is your best match. Read More...
The Bottom Line on Bad Customer Data
You can blame your sales people all you want, but if the lead data is bad, they’re not going to bring in business. You can blame your product managers for

customer data  Bottom Line on Bad Customer Data You can blame your sales people all you want, but if the lead data is bad, they’re not going to bring in business. You can blame your product managers for ineffective promotions, but if the target lists are redundant, the pitches fall on deaf ears. You can blame your customer service representatives for low satisfaction scores, but if customer data is missing, then no wonder the complaint resolution pipeline is backed up. Think it’s your customer resource management (C Read More...
Voice of Customer: Using Customer Actions That Speak
Traditional voice of customer (VoC) analytics for understanding and predicting customer behavior relies on two types of data sources—structured (customer

customer data  for understanding and predicting customer behavior relies on two types of data sources—structured (customer feedback surveys, focus groups, etc.) and unstructured (blogs, forums, etc.). Data is then organized for use by diverse teams across an organization. Read about how companies can use data captured from customer actions or on-board diagnostic (OBD) systems for VoC analytics. 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  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...
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting

customer data  Integration: Creating a Trustworthy Data Foundation for Business Intelligence Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. BEGINL 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  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...
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  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...
Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center

customer data  mission of creating delighted customers. To do this, the Company focuses its efforts on four primary application areas: Home/Small Office; Business Networks; Data Centers and Facilities; and Access Provider Networks. Source : APC Resources Related to Deploying High-Density Zones in a Low-Density Data Center : Data center (Wikipedia) Deploying High-Density Zones in a Low-Density Data Center High-Density Zones is also known as : High-Density Zones , Low-Density Data Center , Data Center Cooling Density 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  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...
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

customer data  UNIX variants based on customer demand). Since the back-end product was written in PERL, which is a portable computer language, implicit multi-platform support has always been available. According to Mr. Leman, future developments include support for middleware, such as product offerings from New Era of Networks , Vitria , and Metagon . Among other unique approaches taken by Metagenix: All employees are stockholders, and the company's financial books are open to them at all times. Sales Engineers report Read More...
Customer-centric CRM
Companies implement a customer relationship management (CRM) system to balance increasing revenue, decreasing costs, while enhancing the customer experience

customer data  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...
Recession? Steal Market Share by Increasing Customer Service!
During a recession, don’t follow the cost-cutting crowd. Of course, be frugal, but in areas that don’t touch the customer. Forget what everyone else is doing

customer data  Market Share by Increasing Customer Service! Most challenges your business encounters will be easier to deal with if you have loyal customers. Through continuous, real-time customer feedback, you'll be better positioned to provide the right solutions, differentiate your services, benchmark your performance, prioritize pressing issues, spot emerging trends, and more. Source : Mindshare Technologies Resources Related to Recession? Steal Market Share by Increasing Customer Service! : Customer Service (Wiki Read More...
Customer Relationship Management (CRM)
When talking about relationship management in the context of software solutions, most people think of customer relationship management (CRM). However

customer data  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 Read More...

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