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Data Mining: The Brains Behind eCRM
Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data

crm data mining  what those customers wanted. CRM has been a vital information industry segment for many years, but the special needs of Internet businesses for real-time processing of huge volumes of data led to the creation of a flock of startups and the coining of the term eCRM to describe their niche. Some of the special characteristics of eCRM were that it primarily served (and was offered by) dot-com businesses, that it tended to be weak on the traditional kinds of CRM processing, and that it made effective uses Read More...
Mining Industry (ERP & CMMS)
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Documents related to » crm data mining


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

crm data mining  Management White Paper | CRM Data Management | Real Data Management | Safety Data Management | Data Management Consultant | Remote Data Management | Provider Data Management | Automated Data Management | Data Management Vendors | Data Management Guide | Data Management Best Practices | Data Management Methodology | Data Management Roles | Data Management Goal | Data Center Management Best Practices | Business Intelligence Data | Managing Information Report | Managing Information White Paper | Data Read More...
Why CRM Is So Hard and What To Do About It: Data is key to making CRM work
Making a CRM investment work is a two-step process that begins with unifying disparate systems by creating and managing standardized, reusable business

crm data mining  These maps, which direct CRM data movement across systems, are accessible to third-party tools via SOAP and Java APIs that make it possible to map common CRM, customer and business definitions across transactional and legacy systems. Having accomplished the definition phase, enterprises can then deploy interaction policies, which use the common language of metadata to allow disparate systems to coordinate with each other in real time. The end result is that cross-sell and up-sell opportunities are 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

crm data mining  Chain Data ERP | CRM Data | CRM Data Cleansing | CRM Consumer Data | CRM Precise Data Cleansing | CRM Data Quality | CRM Data Cleansing Tools | CRM Data Cleansing Solutions | CRM Accurate Data | CRM Source Data | CRM Data Warehousing | CRM Data Scrubbing | CRM Outsource Data Cleansing | CRM Data Bureau Services | CRM Data Cleansing Software | CRM Data Transformation | CRM Consumer Database Cleaning | CRM Cleansing Data Warehouse | CRM Data Cleansing Services | CRM Data Discovery | CRM Data Profiling | Read More...
Ask the Experts: Approaches to Data Mining ERP
From one of our readers comes this question:I am a student of IT Management; I have an ERP course and I am supposed to write an article to review new

crm data mining  implementing ERP systems and CRM, vast amounts of data were accumulated. The information collected required storage (data warehouses, data marts) and a method to retrieve, extract, and manipulate the data into a manageable form for the purposes of analytics. The end result was the creation of a field known as business intelligence. Through the use of BI, both public and private sector organizations could apply techniques (data mining) to identify trends, demographics, consumer preferences, and patterns, Read More...
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

crm data mining  Basics: Unscrubbed Data Is Poisonous Data Introduction A manufacturing company experienced continually increasing overhead costs in its purchasing and materials departments. It also began to see increased inventory levels and production line delays. A consulting firm was brought in to analyze the company's materials management processes and the level of competence of its materials and procurement staff. After mapping the entire process, from the creation of a bill of materials through post-sales 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

crm data mining  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...
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

crm data mining  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. 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

crm data mining  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 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

crm data mining  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...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

crm data mining  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More...
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

crm data mining  billions of dollars in CRM applications and data integration projects to gain a better view of their customers – only to discover that conflicting data makes them blind. Gartner estimates that more than 25% of critical data within large businesses is somehow inaccurate or incomplete. And that imprecise data is wreaking havoc. – Rick Whiting, Hamstrung By Defective Data, InformationWeek, May 2006. Although nobody disputes that poor data quality has a significant financial impact on companies, the Read More...
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

crm data mining  Storage in the Cloud-Can you Afford Not To? Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage. Read More...
TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center
Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30

crm data mining  Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the Read More...
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