Generate more leads with the ProsperWorks + Microsoft SQL Server integration

ProsperWorks is a CRM solution for Google Apps and G Suite, that helps you to manage your entire sales pipeline, identify your contacts and opportunities, and get a visual overview on your entire customer base. ProsperWorks includes email marketing, lead scoring and list management systems, automation capabilities and a robust integration with Google Apps, especially Gmail/Inbox.

Thanks to the sync feature with Google Contacts avoid you to update your contacts in ProsperWorks too. Once you’ve updated a contact, ProsperWorks will automatically update the contact information. The integration with Gmail allows you to automatically add new contacts, track your emails (opens and views), keep track of all the recent activities, create and send follow-up directly into your inbox. All messages, logged phone calls, completed task and files are automatically attached to the contact profile.

ProsperWorks also offers an intuitive reporting system called “Custom Report Builder”, so you can easily turn your data in beautiful and professional visual insights. All the data are connected with Google Sheets and can be shared with other members of the team. The automation features help you to save a lot of time. When you send a calendar invite, change the lead status or send out a proposal, ProsperWorks will automate next steps.

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.

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.

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.