If you need to automate data prep, blending and reporting for enterprise analytics, Alteryx is a top contender. It has sophisticated data prep, enrichment and quality features, along with powerful reporting and analytics tools. Alteryx plays nice with many roles, including data scientists and marketing managers, and offers cloud and on-premises options. Its AI-boosted platform dramatically boosts productivity with automation and data governance.
Another top contender is Dataiku, which helps to standardize data use for better business outcomes. It's got a broad range of data prep and machine learning abilities, and can support many teams and companies. Dataiku also has strong governance and collaboration tools, so it's a good choice for AI and data analytics work.
Qlik offers a broad suite of data integration, analytics and AI tools. It's got strong data integration abilities, data quality and governance tools, and a range of analytics tools including embedded and augmented analytics. Qlik's suite is designed to span many industries and roles, so it's a good choice for enterprise analytics needs.
If you want a platform that marries AI with data intelligence and governance, check out Databricks. It supports a wide range of tools and integrations, including ETL and business intelligence, and is built on a lakehouse architecture for large-scale data management. Databricks is good for people who need to run and operate AI applications directly against their own data while keeping control and privacy.