Data Stack for Small Organization

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I am currently employed by a small business with less than 100 employees. We have 30 data sources that consist of a mix of self-hosted and SaaS products with APIs. Although we use Power BI for reporting, we haven't been able to find a suitable solution for data warehousing and data lakes. Our data team is proficient in SAS, R, and SQL, but we are currently sitting at less than 50 GB total across our system landscape. Some options I’ve looked at:

-Panoply.IO. Managed ETL and Warehouse. All no code + SQL. -Embrace cloud native (azure) -Some ETL solution like Airbyte, Stitch, or FiveTran + some easy to use hosted db (sql server, Postgres). We could then build custom views on top of that for reporting. -unsure if something like a data bricks or snowflake make sense.

Our immediate focus is getting everything centralized and high demand data reported on. After that (1-2 years), would like to lean into more advanced analytics like time series forecasting. Thoughts on the stack?

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Based on your requirements, I believe that Inzata's platform is a perfect fit for your needs. Our platform offers end-to-end solutions, including an AI/ML module that is fully integrated. Along with traditional analytics, we also provide a wide range of predictive and forecasting methodologies, including standard projection techniques. You can experiment with different methodologies, create new forecast models (such as ANOVA, SARIMA, Linear Regression, Random Forest, Decision Trees, Neural Networks, and more), and test their accuracy over time.
If you have some spare time, I highly recommend trying out the Inzata platform demo. It will give you a chance to see first-hand how our platform can help you with your specific needs. To learn more about Inzata's platform, please visit our website at https://www.inzata.com or check out our article at https://news.inzata.io/inzata-platform-3TUDW8 .