Method and system for integrated analysis of data from multiple source environments

A computer program product embodied on a computer readable medium, the computer readable medium having stored thereon a sequence of instructions which, when executed by a processor, performs:

• receiving first data from a development ecosystem, wherein the development ecosystem corresponds to a first system used to develop a technology product;
• receiving second data from a non-development ecosystem, wherein the non-development ecosystem corresponds to a second system corresponding to end-use of the technology product;
• generating a combined set of data from both the first data from the development ecosystem and the second data from the non-development ecosystem;
• performing machine-learning (ML) on the combined set of data from both the development ecosystem and the non-development ecosystem;
• and
• funneling results from performing ML-based analysis into multiple levels of funneled data objects.

A system, comprising:

• a system front end to interface with and receive data collected from both a development ecosystem and a non-development ecosystem;
• a stream processor to process the data collected from both the development ecosystem and the non-development ecosystem;
• a ML processor to perform ML operations on the data;
• and
• a set of storage components to store both collected data and analysis data within a unified system.