Streamline your data management process with the Salesflare + Microsoft SQL Server integration

Salesflare is a Customer Relationship Management platform specifically created for salesmen. Most CRMs require users to enter customer information into their system, which can be a very redundant and painstaking process that decrease the conversion rates of your funnel. Salesflare ditches that part and focuses on what salespeople do best: selling.

Salesflare doesn’t require leads and customers to input their data, such as emails, phone numbers, and address books, into the software. The platform in fact is built on top of salespeople’s existing data pools, which makes it easy to organize and manage the information you need to make a sale. The software automates the whole gathering and storing of customer information, reducing time spent on data entry up to 70%.

Salesflare gives your salespeople a huge boost in terms of productivity and effectiveness, helping them focusing on sales-related tasks instead of spending a significant amount of time on data entry. Thanks to the opportunity prioritizing feature, you and your sales team are always aware about that’s most important. With Salesflare, your time is spent on managing your customers, and not customer data.

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.