System and method for data analysis and presentation of data

A method for data analysis and presentation of data comprising:

• receiving, by a memory, a plurality of data sets from a plurality of means;
• combining, by a data accumulator, the plurality of data sets received from the plurality of means using a mashup component to generate a plurality of combined data sets
• determining, by an expert rule system, a plurality of properties of the plurality of combined data sets;
• identifying, by the expert rule system, one or more categorical variables based on the plurality of properties of the plurality of combined data sets;
• selecting, by the expert rule system, a categorical variable from one or more identified categorical variables;
• identifying, by the expert rule system, one or more custom rules based on a selected categorical variable obtained from the plurality of data combined sets;
• selecting, by an algorithm selector, one or more statistical tests or one or more machine learning models based on the one or more custom rules;
• deciding, by a job sequencer, a sequence and manage the execution of the one or more statistical tests or one or more machine learning models;
• analysing, by a data processing engine, a performance of a scenario based on the sequence of execution of the one or more statistical tests or one or more machine learning models, wherein the data processing engine is configured to analyse a plurality of factors influencing the identified categorical variable, wherein analysing the plurality of factors comprises:
• determining an impact of selected dimension parameters on the chosen categorical variable, wherein the dimension parameters are entities and comprise at least one of an organisation, an agent name, a state, education and a call type;
• determining an impact of measures over the selected categorical variable, wherein measures are measurable quantities and comprise at least one of count, volume, and time duration;
• generating recommendation results to increase or optimize the categorical variable based on the impact of the selected dimension parameters and the impact of the measures using prescriptive analytics;
• identifying, by a visualization builder, a graph based on the performance of the scenario;
• displaying count of selected dimension parameters, selected measures and a selectable user interface element for viewing presentation of the analysed data and textual insights to be created based on the identified graph;
• identifying, by an insights generator, one or more textual insights based on an identified graph;
• generating, by the insights generator, the one or more textual insights in a natural language;
• and
• presenting, by a display device, the identified graph and the one or more textual insights.