User interface for collaborative analytics platform

Abstract

A first node having a first location in the first GUI and indicative of a first analytical task is provided in a first graphical user interface (GUI). A multi-step analytical process includes the first analytical task. Data is received characterizing a first user input indicative of selection of the first node. A first set of nodes is displayed in the first GUI. The first set of nodes are adjacent to the first node and are associated with a next step of the multi-step analytical process. The multi-step analytical process includes at least one of importing a dataset, building a model using the dataset, and/or deploying the model to operate on live data. Related apparatus, systems, techniques and articles are also described.

What is claimed is: 
     
         1 . A method comprising:
 obtaining data characterizing action associated with a multi-step analytical process, wherein the multi-step analytical process includes at least one of importing a dataset, building a model using the dataset, and/or deploying the model to operate on data;   determining a set of indicators for a first analytical task of the multi-step analytical process based on the received data, wherein each indicator among the set of indicators comprises an impact of the first analytical task on the multi-step analytical process;   receiving an input for selecting an indicator among the set of indicators;   determining a second set of indicators for a second analytical task of the multi-step analytical process based on the received input, wherein each indicator among the second set of indicators comprises a predetermined recommended priority associated with a next step of the multi-step analytical process; and   providing the second set of indicators.   
     
     
         2 . The method of  claim 1  further comprising:
 determining the predetermined recommended priority based on historical user activity. 
 
     
     
         3 . The method of  claim 2 , wherein determining the predetermined recommended priority based on historical user activity further comprises monitoring tasks performed by a user. 
     
     
         4 . The method of  claim 1 , wherein the multi-step analytical process comprises a plurality of analytical tasks, wherein each analytical task among the plurality of analytical tasks comprises one or more analytical sub-tasks. 
     
     
         5 . The method of  claim 4 , wherein the plurality of analytical tasks are arranged in temporal order. 
     
     
         6 . The method of  claim 1 , further comprising:
 receiving a second input for selecting a second indicator among the second set of indicators; and   determining a third set of indicators for a third analytical task of the multi-step analytical process based on the received second input.   
     
     
         7 . The method of  claim 1 , wherein the data comprises live data. 
     
     
         8 . The method of  claim 1  wherein at least one of receiving the input and providing the second set of indicators is displayed in a graphical user interface. 
     
     
         9 . A system comprising:
 at least one data processor; and   at least one memory storing instructions which, when executed by the at least one data processor, result in operations comprising:
 obtaining data characterizing action associated with a multi-step analytical process, wherein the multi-step analytical process includes at least one of importing a dataset, building a model using the dataset, and/or deploying the model to operate on data; 
 determining a set of indicators for a first analytical task of the multi-step analytical process based on the received data, wherein each indicator among the set of indicators comprises an impact of the first analytical task on the multi-step analytical process; 
 receiving an input for selecting an indicator among the set of indicators; 
 determining a second set of indicators for a second analytical task of the multi-step analytical process based on the received input, wherein each indicator among the second set of indicators comprises a predetermined recommended priority associated with a next step of the multi-step analytical process; and 
 providing the second set of indicators. 
   
     
     
         10 . The system of  claim 9 , wherein the operations further comprise:
 determining the predetermined recommended priority based on historical user activity.   
     
     
         11 . The system of  claim 10 , wherein the operations further comprise:
 determining the predetermined recommended priority based on historical user activity further comprises monitoring tasks performed by a user.   
     
     
         12 . The system of  claim 9 , wherein the multi-step analytical process comprises a plurality of analytical tasks, wherein each analytical task among the plurality of analytical tasks comprises one or more analytical sub-tasks. 
     
     
         13 . The system of  claim 12 , wherein the plurality of analytical tasks are arranged in temporal order. 
     
     
         14 . The system of  claim 9 , wherein the operations further comprise:
 receiving a second input for selecting a second indicator among the second set of indicators; and   determining a third set of indicators for a third analytical task of the multi-step analytical process based on the received second input.   
     
     
         15 . The system of  claim 9 , wherein the data comprises live data. 
     
     
         16 . The system of  claim 9 , wherein the operations further comprise:
 at least one of receiving the input and providing the second set of indicators is displayed in a graphical user interface.   
     
     
         17 . A non-transitory computer readable medium storing computer readable instructions which, when executed by at least one processor forming part of at least one computing system, causes the at least one processor to perform operations comprising:
 obtaining data characterizing action associated with a multi-step analytical process, wherein the multi-step analytical process includes at least one of importing a dataset, building a model using the dataset, and/or deploying the model to operate on data;   determining a set of indicators for a first analytical task of the multi-step analytical process based on the received data, wherein each indicator among the set of indicators comprises an impact of the first analytical task on the multi-step analytical process;   receiving an input for selecting an indicator among the set of indicators;   determining a second set of indicators for a second analytical task of the multi-step analytical process based on the received input, wherein each indicator among the second set of indicators comprises a predetermined recommended priority associated with a next step of the multi-step analytical process; and   providing the second set of indicators.   
     
     
         18 . The computer readable medium of  claim 17 , further comprising:
 determining the predetermined recommended priority based on historical user activity.   
     
     
         19 . The computer readable medium of  claim 17 , wherein determining the predetermined recommended priority based on historical user activity further comprises monitoring tasks performed by a user. 
     
     
         20 . The computer readable medium of  claim 17 , wherein the multi-step analytical process comprises a plurality of analytical tasks, wherein each analytical task among the plurality of analytical tasks comprises one or more analytical sub-tasks.