Predictive modelling allows you to get a deep understanding of the interaction between different sources of data to be examined.

financial and predictive modelling represents a companies’ operations numerically. It can be used to compare the financial performance of companies operating in the same sector.
In addition, it improves decision making by allowing the ability to build forecasting models. These forecasting models can be used to predict sales or how a company’s stocks will react to investment decisions or external economic factors.
Financial models allow the valuation of firms and the ability to test business scenarios and decide on the best course of action.
To enhance the power of financial and predictive modelling , predictive statistical and mathematical models can be combined to yield even more sensitive predictions. In particular the risk associated with financial decisions can be quantified and interrogated in ways not possible with a financial model on its own. This unique combinations of modelling provides a potential investor with much more information to decide whether to invest in stocks from a particular company. For example, doing a comparative company analysis, followed by time series analysis, nearest neighbour and scenario analysis can provide a new level of investment decision making captured in a highly graphic and straight forward report.
financial and predictive modelling represents a companies’ operations numerically. It can be used to compare the financial performance of companies operating in the same sector. In addition it improves decision making by allowing the ability to build forecasting models. These forecasting models can be used to predict sales or how a company’s stocks will react to investment decisions or external economic factors. Financial models allow the valuation of firms and the ability to test business scenarios and decide on the best course of action.
