Home
 > search for

Featured Documents related to »  customer data cleansing


Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

customer data cleansing  estimates that poor quality customer data costs U.S. businesses a staggering $611 billion a year in postage, printing, and staff overhead. – Wayne W. Eckerson, Data Quality and the Bottom Line, TDWI Report Series, 2002. More recent articles show the situation has not improved: Poor data quality costs the typical company at least 10% of revenue; 20% is probably a better estimate. – Thomas C. Redman, Data: An Unfolding Quality Disaster, DM Review, August 2004. Companies are investing billions 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...
Start evaluating software now
Country:

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » customer data cleansing


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 cleansing  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...
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

customer data cleansing  product number, product attributes, customer or vendor records. Unless you are implementing an ERP or CRM system, initial data cleansing efforts on transactional or historical data would be discouraged. How many integrations do you have that feed your master data to other systems (internal or external) Create a master list by system and data field name. Do you have a data warehouse, one central location for master data? Is now the time to make that move? Now identify the data owner and the business Read More...
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

customer data cleansing  also known as : Customer Data Quality , Data Cleansing Service , Data Integration System , Data Cleansing Services , Data Profiling , Data Profiling Software , Data Quality , Data Cleansing Software , Data Governance , Data Integration , Data Quality Analysis , Data Quality Approach , Data Quality Assessment , Data Quality Best Practices , Data Quality Campaign , Data Quality Control , Data Quality Framework , Data Quality Improvement , Data Quality Indicator , Data Quality Indicators , Data Quality Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

customer data cleansing  addresses to the same customer profile. As a result, data becomes corrupted and is then misinterpreted. Having a customer in a database two or more times may create the impression that they are different customers. Businesses may lose money if, for example, they do a mailing campaign based on this customer base. Multiple letters sent to the same customer will double the cost of mailing and fulfillment and reduce company credibility in the eyes of customers. The use of poor quality databases can also lead 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 cleansing  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...
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

customer data cleansing  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and Read More...
The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

customer data cleansing  computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system and they receive the answer. Also, users have the possibility to remain connected (online) so they can start this interaction with the system anytime—which is called 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 cleansing  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. Read More...
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

customer data cleansing  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

customer data cleansing  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. Read More...
Is Your Customer Strategy Aligned with Customer Experience
As product differentiations blur, companies are increasingly turning to create customer-centric organizational behavior to establish experience-based

customer data cleansing  Your Customer Strategy Aligned with Customer Experience As product differentiations blur, companies are increasingly turning to create customer-centric organizational behavior to establish experience-based differentiation (EBD) and remain competitive. This creates unique challenges while implementing a customer relationship management (CRM) strategy in multidepartment organizations with numerous customer touch points. This white paper aims to enable CRM strategy. Read More...
Data Management Wish List: IT Is Open to Big Changes
Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and

customer data cleansing  Management Wish List: IT Is Open to Big Changes Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and consume the data. In recent years, however, information technology (IT) leaders have focused much more attention on their organizations’ data management platforms and capabilities. Download this white paper to get a better picture of the current data management landscape. 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

customer data cleansing  -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...

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others