FAQ

Frequently asked questions

Quick answers to common questions about our products, data processes, security, and implementation. Find what you need faster by browsing by topic.

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DQ for Dynamics

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DQ Studio

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General Data Quality

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Data Security

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Email, Phone and Address

Customer data quality refers to the accuracy, completeness, consistency, and relevance of customer data. High-quality customer data is essential for effective communication with customers.

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Where On-Line – Data is retrieved from the hosted CRM using secure https connectivity. Where On-Premise – no data leaves your environment.

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Email data quality refers to the accuracy, completeness, and relevance of the email addresses stored in a database.

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DQ for Dynamics is a data cleansing tool (plug-in) which works inside Dynamics 365 to ensure the data in your CRM system is duplicate free. It allows you to review two or more duplicate records side by side and then create a surviving “Golden Record” using DQ for Dynamics™ with ease.

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DQ Studio is an all in one data management engine that will allow you to do the following: Data cleansing, Data migration, Application integration, Business process automation, Business rules execution. DQ Studio has been designed to put you in control of how you manage your business data. Based on Windows Workflow Foundation, DQ Studio has a large number of connectors to a host of business applications from CRM, ERP, Accounting, Social Media, Big Data, Spreadsheets etc.

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No. Email verification significantly improves email deliverability but cannot guarantee delivery in every circumstance.

Factors such as spam filters, sender reputation, recipient preferences, inbox rules, and server configurations can still affect delivery.

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No. Email verification is performed through cloud-based services, APIs, or integrated business systems.

End users do not need to download or install any additional software.

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Poor data quality can lead to incorrect information being used for business decisions, reduced customer satisfaction, increased operational costs, and decreased revenue. Ensuring that customer data is of high quality is essential for the success of a business.

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Retrieved data is stored in a temporary database: the CRM entity data is fed into our hosted Match engine service, which is then stored in a temporary database for processing. The database is password protected. The field values are fully encrypted using a SymmetricAlgorithm. After processing, the temporary database is deleted. Matching record IDs derived from the temporary Match engine database are passed and stored in a results list database. Only the matching record unique IDs (GUIDs) are permanently stored in a results list database, for subsequent P&M processing. The session result list GUIDs are used to retrieve data for P&M duplicate review.

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Email data quality is important because incorrect or outdated email addresses can lead to decreased email deliverability, decreased open rates, and decreased engagement with customers.

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DQ for Dynamics can cross-compare records from Lead entities to account or contact entities. This allows for a complete and accurate Single Record View to be created.

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DQ Studio can be deployed on premise or in the cloud and is accessible via all popular browsers and devices. With DQ Studio, companies no longer have to rely on disparate systems for data management.

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Automated telephone number verification is typically completed within seconds, making it suitable for both real-time Capture verification and bulk Cleanse verification processes.

This allows organisations to validate contact information quickly and efficiently.

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Yes. Telephone number verification can be used for both mobile and landline telephone numbers, depending on the capabilities of the verification service being used.

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The common causes of poor customer data quality include manual data entry errors, duplicate data, inconsistent data formats, incomplete data, and outdated data.

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All DQ Global source code is protected by SmartAssembly (https://www.red-gate.com/products/dotnet-development/smartassembly/)Data Encryption uses the SymmetricAlgorithm. (https://msdn.microsoft.com/en-us/library/system.security.cryptography.symmetricalgorithm(v=vs.110).aspx

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The common causes of poor email data quality include manual data entry errors, outdated email addresses, bounced emails, and duplicated email addresses.

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DQ for Dynamics is straight forward to set up and we can usually have you up and running within a couple of hours.

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Integrate with multiple data sources within one application, migrate data between multiple data sources, employs over 792 workflow activities packaged in 38 modules, and includes functionality to run or schedule workflows.

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Yes.

International address verification can be fully automated using APIs, CRM integrations, websites, ecommerce platforms, and business systems.

Automation enables organisations to verify addresses in real time or process millions of existing records through bulk cleansing projects.

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Yes.

Address verification not only validates addresses but also standardises them into recognised postal formats.

This helps ensure consistency across customer databases while maintaining compliance with local postal standards.

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Customer data quality can be improved by implementing robust data quality processes, including data validation, data standardization, data enrichment, and data governance.

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We use SHA256 with RSA.

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Email data quality can be improved by implementing robust data quality processes, including data validation, data standardisation, data enrichment, and data governance. Additionally, using email verification tools can help to identify and remove invalid email addresses from a database.

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DQ for Dynamics allows users to fully automate the following steps: Matching, Best Record Detection, Best Field Detection, Merging. This allows users to save time and money.

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This depends on the size of the workflow and its activities but it is very quick. There is also a high performance IO option processing high volume integration and migration loads.

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Improved customer data quality can lead to better customer engagement, increased efficiency, improved customer satisfaction, reduced costs, and increased revenue.

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Yes.

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Improved email data quality can lead to increased email deliverability, increased open rates, and increased engagement with customers, which can result in increased revenue and reduced costs.

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DQ for Dynamics is installed by running one executable. Once installed, DQ for Dynamics will appear as a plug-in with your CRM application. See our installation guide for more information.

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DQ Studio is licensed annually and available for a 30 day free trial.

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Customer data quality can be measured by evaluating the accuracy, completeness, consistency, and relevance of customer data, using metrics such as data accuracy rates, data completeness rates, and data consistency rates.

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Phone verification is a process where a CRM system sends a verification code to the phone number provided by the user. The user then enters the code into the CRM system to confirm that they have access to the phone number and that it is a valid number.

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The main drivers of poor customer data quality include manual data entry errors, data integration issues, incorrect or outdated data, lack of data standardization, and lack of data governance policies and procedures.

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Phone verification is a process where a CRM system sends a verification code to the phone number provided by the user. The user then enters the code into the CRM system to confirm that they have access to the phone number and that it is a valid number.

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To improve customer data quality in Dynamics 365 Sales, you can implement data validation rules, enforce data standardization, use data integration tools to ensure data consistency, implement data governance policies and procedures, and monitor and evaluate the quality of customer data regularly.

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