Question: Can you suggest a platform that allows data analysts to save and reuse frequently used ?

If you want a platform that lets data analysts store and reuse queries, Sherloq is worth a look. It's a collaborative data platform for managing SQL queries, storing and sharing queries, and integrating with tools like Datagrip and Jupyter Notebook. The platform includes features like query categorization, metadata management and auto-documentation that make it a good choice for enterprises. Sherloq also comes with June AI for quick answers to ad-hoc queries and offers a free trial.

Another strong contender is Airbook, a collaborative data workspace that makes it easier to analyze data and create insights. It supports more than 150 data sources with native connectors and has features like query storage and reuse, collaborative workspaces and a chart builder. Airbook also can integrate with services like AWS CloudTrail and Google Analytics, so it can handle a broad range of use cases like marketing analytics and financial analytics.

If you prefer a more flexible foundation, Mode combines SQL, R, Python and visual analytics for data analysis and collaboration. It's geared for ad hoc analysis, interactive dashboards, self-service reporting and explorable datasets, so it's good for both data teams and business teams. Mode offers several pricing tiers to suit different needs, including a free Studio plan for solo analysts.

Last, DataGPT is a conversational AI data analyst that can help people make data-driven decisions more quickly. It can connect to a broad range of data sources and has features like automated insights, context awareness and a data navigator for exploration. DataGPT can be used for things like segment checking and anomaly detection, and it can cut the time and expense of more traditional data analysis approaches.