About Azure Synapse Analytics
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.
AskNicely is a survey tool that allows users to collect and act on real-time customer feedback using the net promoter score (NPS) framework. This helps them accurately understand their performance and increase their customer retention, reviews, and referrals.
Popular Use Cases
Bring all your AskNicely data to Amazon Redshift
Load your AskNicely data to Google BigQuery
ETL all your AskNicely data to Snowflake
Move your AskNicely data to MySQL
Azure Synapse Analytics's End Points
Azure Synapse Business Intelligence, Machine Learning, and Data Analytics
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.
Azure Synapse Unified Analytics
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.
Azure Synapse Cloud-Native HTAP Implementation
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 Programming Language Compatibility
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 Serverless On-Demand or Provisioned Resources
Azure Synapse lets you query data with provisioned or serverless on-demand computational resources.
Azure Synapse Compatibility With Azure, Microsoft, and Open Data Initiative Services
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.
Azure Synapse Workload Optimization
Microsoft Azure Synapse makes it easy to optimize your query performance through limitless concurrency, workload isolation, workload management.
Azure Synapse Advanced Security and Privacy
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.
Azure Synapse Compliance Certifications
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.
AskNicely's End Points
Use simple one-touch surveys to generate valuable customer feedback. Then, use this information to create and track your Net Promoter Score (NPS) based on product, channel, rep, etc. This can help provide customer analytics both within AskNicely and in other data sources.
Utilize the survey information both to better interact with your customers and to empower your team. With the survey results, your whole company can gain an accurate understanding of customer experience and your team can take immediate action to drive retention, upgrades, reviews and referrals.
Use your NPS to track your performance over time and see the impact that your marketing and sales campaigns are actually having on customer intent.
Increase the number of customer responses with AskNicely’s automations and optimizations. Then, integrate this customer feedback with other relevant data sources to get a comprehensive overview of your customers and improve your long-term business strategies.
View important metrics for your account like your NPS and the percentage of your respondents that had positive or negative survey responses. This provides a broader view of your survey performance that can help you determine your overall business performance.