If you want to get quick answers from your sales data without having to write a lot of queries or programming code, Avian is a good choice. This generative Business Intelligence platform uses natural language processing to let you analyze data and extract the metrics you need. It can connect to a variety of data sources, including spreadsheets, Shopify, LinkedIn Ads and Google Analytics, and offers real-time results and live queries for rapid-fire analysis. Avian can be set up in 5 minutes and requires no programming, and it's been used by companies like Google and Salesforce.
Another good option is Tabula, an AI-powered, no-code platform for business and data teams. It can combine, transform and visualize data, automating spreadsheets and workflows. Tabula offers real-time insights, integrates with common data tools, and has automated workflows, custom metrics and advanced filtering. It's designed to be easy to use for both technical and non-technical people, so it's a good choice for a variety of teams across your organization.
Morph is another option. This AI-powered data assistant makes data accessible and usable for all stakeholders by ingesting data from multiple sources, analyzing it, and exporting results without any coding required. Morph supports SQL databases like Snowflake, BigQuery, Postgres and MySQL and has a range of features including querying, visualization and reporting. It's good for businesses that want to quickly get data analysis up and running, automate complex tasks and make better decisions.
If you want a more collaborative approach, Athena is an AI-native analytics platform that works in co-pilot and auto-pilot modes, learning workflows and taking actions on its own. It can integrate easily with Enterprise Data Warehouses, use chat-based interfaces to query data, and create reports with natural language processing. Athena is designed to make data analysis accessible to everyone, so it's a good choice for companies that want to boost analytics without manual workflows.