Abstract: The present disclosure relates to the field of direct communication and engagement within organization. In the modern scenario, there is an inherent need for the organization to provide information requested by its employees via direct electronic communication. The number of employees requesting information is usually much larger as compared to the number of management personnel equipped to provide the requested information and the companies are, thus, at a disadvantage in their ability to provide information to their employees. Therefore, there is a need for a system of direct electronic communication that enables organizations to provide information requested by individual employees, identify resources within the organization capable of providing the requested information, and route queries to the best available resource.

Abstract: The present disclosure relates to the field of data filtering, and envisages a role based dynamic data filtering system and method thereof comprising parser, database, login module, filtration module, converter, prediction module and user device. The parser parses the received data from a plurality of heterogeneous sources. The login module registers a user and authenticates the user based on the registration details entered by the user. The filtration module identifies pre-determined role related data in database based on the extracted role from the registration details, and extracts the identified pre-determined role related data from parsed data based on pre-determined set of filtration rules. The converter converts extracted data into a single format data. The prediction module analyses converted data and historical analysis data, to generate predictions results based on analysed data and pre-determined set of prediction rules.

Abstract: The present disclosure relates to the field of a system that maps employees' sentiments, and envisages a system for mapping employees' sentiments comprising a database, an input unit, a parser, a filter unit, a lexical analyse), an identifier, a mapping unit, an aggregator, a sentiments analyser, and a computation unit. The employee inputs are received through the input unit. The parser parses the inputs and generates tokens that are filtered based on the filter unit. Keywords are extracted from pre-determined list of keywords based on filtered words which are mapped with pre-determined group of themes and quantitative score based on the weightage score is computed by pre-determined weightage scores. The sentiments analyser analyses employee sentiments, based on quantitative score and computation unit computes a relationship between employee sentiments, employee feedback and employee performance.

Abstract: The present disclosure envisages a computer implemented system for monitoring meetings and action items. The system comprises an agenda receiver to receive agenda inputs from a plurality of employees, an agenda identifier to identify at least one agenda, an audio recorder to record audio of a meeting and generates audio data, a speech to text converter to convert the audio data into to generate minutes of meeting data, an action item identifier to identify a plurality of action items, an action item assignor to assign each of the action items to at least one of the employees, an action item tracker to track each of the action items to determine a progress status of the action item.

Abstract: The present disclosure relates to the field of direct communication and engagement within organization. In the modern scenario, there is an inherent need for the organization to provide information requested by its employees via direct electronic communication. The number of employees requesting information is usually much larger as compared to the number of management personnel equipped to provide the requested information and the companies are, thus, at a disadvantage in their ability to provide information to their employees. Therefore, there is a need for a system of direct electronic communication that enables organizations to provide information requested by individual employees, identify resources within the organization capable of providing the requested information, and route queries to the best available resource.