TECHNICAL FIELD

Embodiments consistent with the present disclosure include systems and methods for collaborative work systems. The disclosed systems and methods may be implemented using a combination of conventional hardware and software as well as specialized hardware and software, such as a machine constructed and/or programmed specifically for performing functions associated with the disclosed method steps. Consistent with other disclosed embodiments, non-transitory computer-readable storage media may store program instructions, which may be executable by at least one processing device and perform any of the steps and/or methods described herein.

BACKGROUND

Operation of modern enterprises can be complicated and time consuming. In many cases, managing the operation of a single project requires integration of several employees, departments, and other resources of the entity. To manage the challenging operation, project management software applications may be used. Such software applications allow a user to organize, plan, and manage resources by providing project-related information in order to optimize the time and resources spent on each project. It would be useful to improve these software applications to increase operation management efficiency.

SUMMARY

One aspect of the present disclosure is directed to a systems, methods, and computer readable media for self-monitoring software usage to optimize performance. The system may include at least one processor configured to: maintain a table; present to an entity a plurality of tools for manipulating data in the table; monitor tool usage by the entity to determine at least one tool historically used by the entity; compare the at least one tool historically used by the entity with information relating to the plurality of tools to thereby identify at least one alternative tool in the plurality of tools whose substituted usage is configured to provide improved performance over the at least one historically used tool; and present to the entity during a table use session a recommendation to use the at least one alternative tool.

One aspect of the present disclosure is directed to a systems, methods, and computer readable media for predicting required functionality and for identifying application modules for accomplishing the predicted required functionality. Aspects of the disclosure may involve outputting a logical sentence structure template for use in building a new application module, the logical sentence structure template including a plurality of definable variables that when selected result in a logical sentence structure delineating a function of the new application module; receiving at least one input for at least one of the definable variables; performing language processing on the logical sentence structure including the at least one received input to thereby characterize the function of the new application module; comparing the characterized function of the new application module with pre-stored information related to a plurality of predefined application modules to determine at least one similarity to a specific predefined application module; and based on the at least one similarity, presenting the specific predefined application module as an adoptable alternative for accomplishing the function.

One aspect of the present disclosure is directed to systems, methods, and computer readable media for associating a plurality of logical rules with groupings of data. The system may include at least one processor configured to: maintain a table containing columns; access a data structure containing the plurality of logical rules including a first particular logical rule that when linked to a first particular column, enables a table action in response to a condition change in a cell associated with the first particular logical rule linked to the first particular column; access a correlation index identifying a plurality of column types and a subset of the plurality of logical rules typically associated with each column type; receive a selection of a new column to be added to the table; in response to the received selection, perform a look up in the correlation index for logical rules typically associated with a type of the new column; present a pick list of the logical rules typically associated with the type of the new column; receive a selection from the pick list; link to the new column a second particular logical rule associated with the selection from the pick list; and implement the second particular logical rule when data in the new column meets a condition of the second particular logical rule.

