Azure Synapse Analytics is the next incarnation of Azure SQL Data Warehouse from Microsoft. Like SQL Data Warehouse, Azure Synapse Analytics is a cloud-based, relational data warehouse system with MPP (massively parallel processing), virtually unlimited scaling capacity, and the power to process and store petabytes of data. The difference is that Azure Synapse Analytics has added business intelligence, machine learning, and other advanced features to its data warehousing profile. Microsoft has also boosted the platform's capacity to ingest, transform, manage, and process larger volumes of relational and non-relational data faster and more efficiently.
LivePerson's artificially-intelligent chatbots automate approximately 70% of customer inquiries, allowing you to scale your business without the overhead of hiring new staff. As an AI-powered chat platform, LivePerson offers a comprehensive service that simplifies the process of building, managing, and finetuning chatbots to support your business goals.
Bring all your LivePerson data to Amazon Redshift
Load your LivePerson data to Google BigQuery
ETL all your LivePerson data to Snowflake
Move your LivePerson data to MySQL
In addition to serving as a powerful, scalable, cloud-based data warehouse, Azure Synapse adds advanced business intelligence and machine learning data analytics to its list of services.
Whether you need a non-relational data lake, relational data warehouse, or a combination of both, Azure Synapse integrates the two and lets you query the data in SQL while serving as a unified, end-to-end analytics solution. Within a single workspace, Azure Synapse allows you to achieve your data warehousing, data preparation, data management, AI, machine learning, and business intelligence goals. Access all of your data and create stunning dashboards with Power BI via a single interface.
With Azure Synapse Link, cloud-native HTAP implementation allows you to integrate Azure Synapse with Azure databases to extract near real-time insights from operational databases. This allows Azure Synapse to extract machine learning and business intelligence analyses from live data without disrupting the transactional performance of operational systems.
Azure Synapse allows your team to work with their preferred language. Whether it's T-SQL, Scala, Spark SQL, Python, or .Net, Azure Synapse is compatible with your language of choice while using either provisioned or serverless processing resources.
Azure Synapse lets you query data with provisioned or serverless on-demand computational resources.
Azure Synapse natively connects with a wide range of Azure and Microsoft services. The platform includes native connectors for Azure Machine Learning, Azure Data Lake, Azure Blob Storage, Azure Active Directory for authentication, and Microsoft Power BI for visualizing data. Azure Synapse also integrates its machine learning and business intelligence tools with Open Data Initiative tools and services. Led by Microsoft, Adobe, and SAP Software solutions, the Open Data Initiative seeks to boost the connectivity and interoperability of cloud-based SaaS services. Open Data Initiative compatible services include the Microsoft Office 365 suite, the Microsoft Dynamics 365 suite, and more.
Microsoft Azure Synapse makes it easy to optimize your query performance through limitless concurrency, workload isolation, workload management.
Azure Synapse offers cutting-edge security and privacy that includes dynamic, real-time data masking, always-on data encryption, automated threat detection, authentication through single-sign-on and Azure Active Directory. The platform also includes access control features like column-level security and native row-level security for additional security and privacy within your team.
In terms of compliance, Azure offers more certifications than any cloud provider to ensure that your data collection and data use practices comply with industry-specific, regional, state, and national compliance standards.
LivePerson's AI chatbots engage your customers via the messaging channels they're already using. You can embed LivePerson into your website and mobile apps to answer customer questions while they're using your service or browsing your products. Your LivePerson chatbots can also communicate with your customers via SMS, Apple Business Chat, Facebook, Twitter, WhatsApp, Google RBM, Email, Line, and Google AdLingo.
LivePerson chatbots can address approximately 70% of your customer's questions by using a powerful AI engine that was taught with decades worth of consumer data. The platform includes AI templates with prebuilt dialog flows and advanced natural language processing features that get your chatbots up and running in no time. LivePerson makes it easy for non-tech-savvy employees — including your customer service reps and content creators — to develop and finetune chatbots from scratch.
LivePerson includes a feature to turn the phone calls you can't answer into messaging conversations. If customers call and need to wait on hold, this function gives them the chance to start a messaging conversation and get help immediately rather than wait on hold or wait for a returned phone call. According to LivePerson, 8 out of 10 customers choose to message when offered the chance to stop holding. In this way, LivePerson reduces the number of telephone reps your business requires, as chatbots can answer frequently asked questions, schedule appointments, and more — without the need for human employees.
LivePerson includes features that put managers at the center of messaging conversations, like a web-based workspace where you can monitor and control all conversations between customers, bots, and agents. Meanwhile, with bot-assisted messaging, agents can manage multiple customer-bot conversations at once from a desktop computer, laptop, or mobile device. This allows agents to intervene when required for more positive customer experiences. LivePerson even provides real-time feedback on conversation health, so your agents know which conversations most urgently require their attention.
The LivePerson platform tracks and analyzes all aspects of customer messaging conversations by monitoring information like chat duration, customer intent, conversion stats, and customer satisfaction levels, so you can gain key insights from your customer messaging conversations. These insights will help you improve chatbot interactions while providing ideas for improving other areas of your business, products, and services.