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.
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 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 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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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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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 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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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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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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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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DQ Studio™ is licensed annually and available for a 30 day free trial.
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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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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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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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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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Improved customer data quality can lead to better customer engagement, increased efficiency, improved customer satisfaction, reduced costs, and increased revenue.
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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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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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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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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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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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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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We use SHA256 with RSA.
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Yes.
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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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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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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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Email data quality can be improved by implementing robust data quality processes, including data validation, data standardization, 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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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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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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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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