| CPC G06F 16/254 (2019.01) [G06F 16/2471 (2019.01)] | 8 Claims |

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1. A method for aligning results with a data processor system, from disparate analytics sources, the method comprising:
receiving an analysis request from a user;
automatically executing a first analytics platform of a first entity for a first data visualization;
automatically executing a second analytics platform of a second entity for a second data visualization;
displaying the first data visualization adjacent the second data visualization in real-time in a user interface, wherein the first data visualization and the second data visualization have nonmatching parameters for corresponding analysis parameters;
automatically matching into a common parameter field a first nonmatching parameter of the first analytics platform and a corresponding second nonmatching parameter of the second analytics platform;
filtering the first and second visualizations in the user interface according to a user input received through the user interface, wherein the filtering comprises:
converting the user input into an application programming interface (API) connector for each of the first and second analytics platforms;
connecting a first API connector to the first analytics platform using the first nonmatching parameter of the common parameter field and requesting a rerendering of the first data visualization according to the first nonmatching parameter;
connecting a second API connector to the second analytics platform using the second nonmatching parameter of the common parameter field and requesting a rerendering of the second data visualization according to the second nonmatching parameter;
automatically receiving a rerendered first data visualization from the first analytics platform and a rerendered second data visualization from the second analytics platform; and
displaying the rerendered first data visualization adjacent the rerendered second data visualization in real-time in the user interface.
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