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In recent years analytics plays an important role in understanding and increasing profits of any business. There are different types of analytic models available in market. Some of them are descriptive analytics, predictive analytics, prescriptive analytics, big data analytics etc. In this paper two different airline systems are selected and Graph analytics were applied. In initial process AirAsia and SpiceJet datasets are converted into graphs G air (V 1 , E1) and G spice (V 2 , E2). Graph analytics were applied on the above graphs and found that one i.e.,G spice is weakly connected over G air . A model was proposed to increase the connectivity of G spice so that the performance of G spice can be increased. So that G spice can increase the business by adding trips in an incremental order from one trip to 15 trips. Finally, we compared the above airline companies with the proposed model generated results and it was observed that proposed model is giving a feasible solution to G spice by adding trips in an incremental order.

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