Meghan Gohil, Automation and Data Visualization Manager
Fender
Extend Alteryx solutions by integrating with additional data sources and tools, including cloud warehouses, databases, robotic process automation bots, cloud marketplaces, and visualization and BI.
GSI partners help drive large-scale business transformations worldwide by integrating Alteryx technology into their client advisory services, professional services and/or managed service offerings.
Solution providers deliver value-added solutions in focused areas of expertise. With best practices in data analytics, data science, and automation, they help customers gain business insights that drive quick wins and greater ROI.
Alteryx AI analytics tools are easy to learn and easy to use
Data scientists and analytics solutions teams can complete analytical tasks in just a few clicks with a code-free interface and AI assistance. Users can learn and solve with an active community of over 500,000 Alteryx users.
Maximize the value of data
Alteryx connects to a wide variety of data sources, including cloud platforms, databases, and spreadsheets. You can integrate your data and automate analytics and reporting for your BI and AI use cases.
Alteryx data analysis tools enable you to automate, scale, and repeat
Eliminate errors, reduce repetitive tasks, and automate and scale your analytics so your dashboards and reports reflect the latest data.
Code-free means executing the most complex analytics and data science workflows using a drag-and-drop interface for analytics modeling rather than coding language.
Code-friendly means Alteryx integrates with popular programming languages like Python so coders can use Alteryx to accelerate, organize, and visualize their workflows.
Generative AI makes Alteryx tools even easier to use and creates new automation and innovation opportunities. We couple generative AI with other AI models to surface meaningful insights in your data while minimizing the dependence on prompt construction and visualization design skills.
Alteryx connects to a variety of data sources, enabling users to access, blend, and analyze data from multiple systems in one platform.
1. Databases
Relational databases
NoSQL databases
2. Cloud Storage and Services
Cloud storage platforms:
• Google Cloud Storage
• Microsoft OneDrive
• Box
Cloud Data Warehouses:
• Databricks
• Snowflake
• Google Big Query
3. APIs and Web Services
REST APIs
Social media and web data
4. Enterprise Applications and ERP Systems
CRM and ERP Systems:
• Salesforce
• SAP HANA
• Oracle ERP and CRM
• Microsoft Dynamics
• Workday
5. Big Data and Hadoop Ecosystems
6. Data Files
Spreadsheets and Flat Files:
• Microsoft Excel
• CSV
• TSV
• XML
• JSON
7. Geospatial Data Sources
ESRI shapefiles
MapInfo TAB files
KML files for Google Earth
GeoJSON files
8. Data Lakes and Data Catalogs
9. Third-Party Data Connectors