Tidemark is adding predictive analytics functions to its cloud-based financial planning and analysis software to help companies include unstructured big data sources, like social media messages and sensor information, into forecasting and budgeting decisions.

The update allows users to incorporate data from 40 sources including Twitter, Thomson Reuters, the U.S. Bureau of Labor as well as internal data gathered from RFID sensors or point-of-sale systems. Any data source with APIs (application programming interfaces) that are compatible with Tidemark’s cloud-to-cloud consumption program can be added.

Armed with real-time data on customer sentiment or weather patterns, for example, companies will make better business decisions, said Christian Gheorghe, CEO of Tidemark.

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