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An effective customer relationship management strategy can deliver a step change in customer engagement, profitability, revenue growth and sustainability. This second edition of the CRM Pocketbook will help managers take a more strategic approach to setting relationship management objectives and implementing practical plans in a multi-channel environment. Consumers are becoming more empowered and turning to channels where they can access their own personal information, have more say in how that information is used, and manage how often they receive marketing materials. They have the ability
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Practical and informal, this manual clearly defines Master Data Management (MDM), a set of processes and tools that consistently define and manage the nontransactional data entities of an organization. Demonstrating how to implement MDM and how to make it complement other IT solutions, this handbook proves that MDM is a fascinating and up-and-coming approach that allows organizations to run customer-centric business operations. With chapters on data governance, MDM data domains, and customer-data case studies, this reference will appeal to programmers, chief information officers, and informati
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Corporate budget --- Information systems --- Cost accounting --- Industrial management --- Management information systems --- Customer relations --- Total quality management --- Suggestion systems --- Managerial accounting --- Competition --- Data processing --- Competition. --- Industrial management. --- Management information systems. --- Managerial accounting. --- Suggestion systems. --- Data processing. --- Industrial management - Data processing --- Customer relations - Data processing --- Total quality management - Data processing
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Information systems --- Market research --- Marketing --- Data mining --- Business enterprises --- Exploration de données (Informatique) --- Entreprises --- Data processing --- Computer networks --- Management --- Informatique --- Réseaux d'ordinateurs --- Gestion --- Customer relations --- Consumers --- data processing --- Research --- CRM --- dataverwerking --- mathematische modellen, toegepast op bedrijfsleven --- recht, burgerlijk --- rechtsbescherming --- -Data mining --- -Consumer goods --- Domestic marketing --- Retail marketing --- Retail trade --- Industrial management --- Aftermarkets --- Selling --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Business organizations --- Businesses --- Companies --- Enterprises --- Firms --- Organizations, Business --- Business --- -Management --- -Computer networks --- Exploration de données (Informatique) --- Réseaux d'ordinateurs --- Computer networks&delete& --- Marketing - data processing --- Business enterprises - Computer networks - Management --- Customer relations - Data processing --- Consumers - Research
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To build good systems, one needs both good development skills as well as a thorough knowledge of the problem one is trying to solve. Knowledge of software history – what has worked and what hasn’t – also helps in these types of detailed projects. Metadata-Driven Software Systems in Biomedicine lays down some of the foundations and provides a knowledge-base to assist this process. The technical portion of the book consists of database schemas and working code that provide non-trivial examples for the practitioner who is conversant with software development and wishes to employ the approaches described in the book. Eight of the ten chapters include case studies, while the book also includes extensible designs in biomedical applications: electronic medical records, clinical study data management systems, laboratory research support systems, ontologies, and production-rule subsystems. This book is therefore ideal for individuals who have to interact with large biomedical database systems in an information-technology or informatician capacity, build interfaces to such systems or design new systems themselves.
Bioinformatics. --- Customer relations -- Data processing. --- Medical care -- United States -- Evaluation. --- Medical sciences -- Computer simulation. --- Medicine -- Data processing. --- Software architecture. --- Systems biology. --- Medicine --- Bioinformatics --- Software architecture --- Metadata --- Computational Biology --- Computing Methodologies --- Medical Informatics --- Biology --- Information Science --- Biological Science Disciplines --- Natural Science Disciplines --- Disciplines and Occupations --- Medical Informatics Applications --- Automatic Data Processing --- Software --- Systems Biology --- Health & Biological Sciences --- Medical & Biomedical Informatics --- Data processing --- Medical informatics --- Bio-informatics --- Biological informatics --- Clinical informatics --- Health informatics --- Medical information science --- Medicine. --- Health administration. --- Health informatics. --- Medicine & Public Health. --- Health Informatics. --- Biomedicine general. --- Health Administration. --- Information science --- Computational biology --- Systems biology --- Medical records --- Practice of medicine. --- Data processing. --- Medical practice --- Practice of medicine --- Physician practice acquisitions --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Medical care --- Biomedicine, general. --- Health Workforce
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