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What is TimeTrade
Timetrade is a SaaS solution for effective online appointment scheduling, which is easy-to-use and fast to deploy across enterprises. It makes it simple to deliver sales that are appointment-driven, and offers personalized services for a variety of businesses, including but not limited to retail banking, consumer retail, and sales. It offers on-demand personalization for an exceptional customer experience, as it guarantees users that they will be served by a qualified and knowledgeable employee. The solution unifies the customer journey, allowing businesses to hold personalized conversations with them through different channels. Timetrade helps businesses to move customers from social media or online browsing to a live-conversation. It offers appointment scheduling, reporting and queue management as a secure cloud solution, which is scalable as well as modular.
Benefits of using TimeTrade
With TimeTrade, staff can access the full power of the software from Salesforce, allowing growth of accounts and faster closing of deals. It allows leveraging company’s investment on Salesforce platform via the ‘Scheduler for Salesforce’. Marketing teams can place the links for appointments online, which amplifies lead generation through website, social media as well as email campaigns. This results in the generation of more qualified leads, which are passed directly to Salesforce. Timetrade allows staff to instantly schedule and manage meetings, eliminating the need for detecting free time across different calendars.
Why should I use TimeTrade
Timetrade’s omnichannel scheduling allows prospects and customers to conveniently and easily schedule their appointments using different channels, including mobile devices, web, text, voice or even company’s customer-facing app. The software powers live customer conversations and aims to improve the customer experience through different channels, including phone, online, and in-person communication. It helps creating a service that improves customer loyalty, satisfaction, and retention, ultimately resulting in improved sales and revenues. The analytics module provides insightful and actionable information, and helps in making the best decision from a business perspective. The interactive dashboard and data-rich reporting provide actionable and clear visibility into the success of marketing campaigns and customer engagements.
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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