Posted on March 25th, 2022
Azure SQL is a managed Cloud database platform provided as part of Microsoft Azure's cloud offerings.
Like other Cloud platforms, it provides a pay-as-you-go Cloud relational database management system. However it does have some unique built-in intelligence features to enable it to achieve a high-level of performance, reliability, and data protection.
Interzoid provides native database connectivity to the Azure SQL Database Platform, enabling our various data matching reports (for organizations, individual, and street address data types), inconsistent data identification, data validation (both algorithmic and using third-party data), and data appending capabilities to be used with zero programming and at the click of a button via any Web browser.
Examples of what can be achieved via our Cloud Data Connect product connected to the Azure SQL Database Platform include:
✔ Generate reports to identify duplicated and redundant company and organization names
✔ Generate reports to identify duplicated and redundant individual names
✔ Generate reports to identify duplicated and redundant street addresses
✔ Create new SQL tables with Similarity Keys appended to match data across tables as desired
✔ Match data from external sources with internal data with higher match rates
✔ Standardize data for accurate analysis
✔ Verify data for accuracy
✔ Identify invalid email addresses within data tables
✔ Append geographic data to phone numbers and email addresses globally
✔ Consolidate duplicate customer or prospect information
✔ Database building from multiple sources
✔ General data quality analysis
✔ Enrich data from additional sources
✔ And much more.
Poor data quality and lack of data comprehensiveness in SQL Azure can cause inaccurate analysis, substantial costs, and missed opportunities. Quickly and easily get a handle on any challenges, and then leverage our Cloud Data Connect tools to achieve a much higher level of data quality within SQL Azure. Then, everything you do with that data will be more far more effective.
For additional questions, contact us at email@example.com.
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