data-quality-on-demand.com
Data Quality on demand from Uniserv, the market leader.How does run-of-the-mill customer data become top quality customer data? Namely "on demand
http://www.data-quality-on-demand.com/
How does run-of-the-mill customer data become top quality customer data? Namely "on demand
http://www.data-quality-on-demand.com/
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Uniserv GmbH
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1&1 Internet AG
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Data Quality on demand from Uniserv, the market leader. | data-quality-on-demand.com Reviews
https://data-quality-on-demand.com
How does run-of-the-mill customer data become top quality customer data? Namely "on demand
data-quality-on-demand.com
Welcome to the Quality Club!
https://www.data-quality-on-demand.com/en/customers/welcome-to-the-data-quality-club.php
HOTLINE: 1 866 350 7231. Directly to your Data Quality account. You go directly to your account and your Data Quality Center here. Opening a Data Quality account. You open your Data Quality account quickly and simply here. Simply start here free of charge and completely without obligation. Open data quality account. This might interest you. All kinds of things are happening in data quality. You may want to drop in at the information centre immediately after logging in and bring yourself up to date.
The data quality effect for CRM, ERP, e-commerce and direct marketing applications
https://www.data-quality-on-demand.com/en/applications/crm-erp-e-commerce-direct-marketing.php
HOTLINE: 1 866 350 7231. For ERP and Co. A higher quality of support in CRM. Data Quality on Demand works together interactively with your CRM systems. An individual validation is carried out online whenever customer data is acquired, altered or supplemented. Telephone numbers and geodata can be added in the process. More Data Quality for CRM. Accurate data for ERP and Co. More Data Quality for ERP und Co. The lowest waste coverage in direct marketing. More Data Quality for Direct Marketing.
Publisher and Editorial Office – Imprint of Uniserv GmbH
https://www.data-quality-on-demand.com/en/imprint/imprint.php
HOTLINE: 1 866 350 7231. Publisher and Editorial Office. Telephone 49 (0) 72 31/9 36 - 0. Telefax 49 (0) 72 31/9 36 - 25 00. Internet: www.uniserv.com. Management: Roland Pfeiffer, Mathias Diener. Registration court: Amtsgericht Mannheim. Registration number: HRB 501535. VAT registration number pursuant to Article 27 a of the German VAT Act:. Responsible for the content: Roland Pfeiffer, Mathias Diener. Development and Design: Strategius GmbH Düsseldorf.
CRM: deduplication, address validation, enhance telephone numbers, geocodes
https://www.data-quality-on-demand.com/en/applications/CRM/data-quality-for-effective-crm.php
HOTLINE: 1 866 350 7231. For ERP and Co. What you can do to promote good relationships from the outset. Things which can be done in day-to-day business to care for relationships. Data Quality on Demand - the best connections for the best relationships. Ready-made connections for CRM.
email address validation | Uniserv cloud services
https://www.data-quality-on-demand.com/en/email-address-validation.php
HOTLINE: 1 866 350 7231. Check the correctness of your e-mail addresses. Nowadays, the e-mail address is just as important as the postal address in communication between your company and your customers, suppliers, partners and other contacts. Modern-day business cannot be imagined without it, especially in the age of social media and digital identity. Incorrect e-mail addresses and a lack of e-mail validation therefore have far-reaching consequences, e.g.:. The check can be implemented at various points:.
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Uniserv France - Better Data. Better Business.
http://www.uniserv.com/fr
Banques and prestataires de services financiers. Commerce en ligne and commerce électronique. Prestataires de services de marketing. Data Quality (qualité des données). Golden Record / Golden Profile. Gestion des données client à 360 degrés. Gestion multi-canal et cross-canal. Stockage de données et Business Intelligence. Application d’entreprise (CRM, ERP). Solutions dans le cloud. Data Quality Service Hub. Data Quality Activity Management. Fonctions de qualité des données. Data Quality dans CRM. Tribun...
Uniserv GmbH - Better Data. Better Business.
http://www.uniserv.com/index.php
Golden Record / Golden Profile. 360 Customer Data Management. Multi- and Cross-Channel Management. Data Warehouse and Business Intelligence. Enterprise Application (CRM, ERP). Lösungen für den Mittelstand. Data Quality Service Hub. Data Quality in CRM. On Demand / Software as a Service (SaaS). Datenanalyse and Data Quality Audit. White Paper and Fachberichte. Sind Sie digital ready? Prüfen Sie jetzt in unserem kostenlosen Online Check, ob Sie für die Digitalisierung gewappnet sind! Eine Partnerschaft bie...
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Omikron | Data Quality Express
Über Data Quality Express. Schlechte Datenqualität führt bei Postsendungen zu Rückläufern und zu unnötigen Aufwänden und Mehrkosten. Identitätsbetrug kann teuer werden. Data Quality Express schützt Sie zuverlässig vor Betrügern und Spaßbestellern. Dubletten verschwenden Marketingbudget, erschweren die Kundenansprache und verfälschen die Umsatzzahlen. Handling von Problemkunden und manuelle Datenkorrektur sind teuer und zeitintensiv. Reduzieren Sie diesen Aufwand. 2015 Omikron Data Quality GmbH.
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Data Quality on demand from Uniserv, the market leader.
HOTLINE: 1 866 350 7231. Is this your first time, you are here? Welcome to "Data-Quality-on-Demand.com"! Here it concerns the latest developments in the quality management of address and customer data, which are used to provide data quality. As a service simply and quickly via the Internet and web applications at a reasonable price "on demand" - as and when required. This offer is made available to you by Uniserv, the Number 1 in Europe in the sphere of data and quality since 1969. Go to the applications.
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data-quality-spell-book.blogspot.com
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Data Quality Spell Book. A search for the elusive spell book. One man’s “magic” is another man’s engineering. “Supernatural” is a null word.". 8211; Robert A Heinlein. If you torture data long enough, it will tell you anything you want! Thursday, January 29, 2009. Taxonomy, Divide and Merge (Part 2). Following on my last post, I’d like to focus on the question: What can be considered as a good taxonomy? A product taxonomy should be practical. By the way, the main reason why current taxonomies are usage-o...
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Visione del cliente a 360. Liste e banche dati. Liste e banche dati Aziende. Liste e banche dati Privati. Posta Prioritaria / Massiva. Migrazioni dati Oracle Database. Migrazioni dati MS SQL Server. Verifica dati di registrazione. Cleaning - bonifica dati. Servizi per il business. Qualità dei dati nel cloud. Arricchimento dati in Cloud. Ricerca duplicati in Cloud. Gestione dati nel cloud. Data Management in Cloud. Data Governance in Cloud. Integrazione dati nel cloud. Integrazione dati MS Access. Il vost...
