Generate more leads with the Microsoft SQL Server + Lead Metadata (real estate) integration

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.

Lead Metadata is a standard format used in Real Estate market. Nowadays a lot of people search for buying homes online. In order to supply this online demand, lead generation websites were born with the aim to connect potential customers to real estate agents.

Lead Metadata has been developed to to identify a unique format for leads’ information, prescribing a way to transport prospects’ data (email, telephone number, etc.) from vendors (such as a real-estate search portals), to consumers (including real estate CRMs). The problem is that, when a software can’t load the leads’ information properly, it’s not possible for real estate agents to manage such data.

Thanks to Lead Metadata, the market players can get the leads from the major lead generation websites and automatically extract the information they need, in order to better manage their leads through their CRMs/email marketing softwares.