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What is WhatConverts
WhatConverts makes it easier to assign sales to traffic sources based on phone calls, web forms, and transactions.
Benefits of using WhatConverts
WhatConverts offers a complete circle lead tracking system where you will no longer be asked what lead or lead conversion point of origin is.
Why should I use WhatConverts
Using WhatConverts, you'll be able to get deep data analysis in source tracking, lead quality, and revenue generation. WhatConverts is simple to configure and integrates seamlessly with Google Analytics and Google AdWords.
What is Microsoft SQL Server
Microsoft SQL Server is a relational database management system, or RDBMS, that supports the impact of transaction operations, business intelligence and analytics in corporate IT environments. It is one of the three market-leading database technologies, along with Oracle Database and IBM DB2. Like another RDBMS software, Microsoft SQL Server is based on SQL, a database standardized programming database and querying the data they contain. SQL Server is linked to a Transact-SQL (T-SQL), a Microsoft SQL implementation that adds a series of programming extensions that are proprietary to the standard language.
Benefits of using Microsoft SQL Server
Security & Compliance: Protect data at rest and in motion with a database that has the least vulnerabilities of any major platform for six years running in the NIST vulnerabilities database. Security innovations in SQL Server 2017 help secure data for mission-critical workloads with a layers of protection security approach, adding Always Encrypted technology along with row-level security, dynamic data masking, transparent data encryption (TDE), and robust auditing.
Why should I use Microsoft SQL Server
The business intelligence helps you scale your business intelligence models, enrich your data, and ensure quality and accuracy with a complete BI solution. SQL Server Analysis Services help you build comprehensive, enterprise-scale analytic solutions benefiting from the lightning-fast performance of in-memory built into the tabular model. You can build intelligent applications with SQL Server Machine Learning Services using R and Python. Move beyond reactive and into predictive and prescriptive analytics by performing advanced analytics directly within the database. By using multi-threading and massively parallel processing, you’ll gain insights faster than using open source R and Python alone.
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