System and method for identification, assessment, and management of business valuation and business risk

A method of automatically calculating an interactive business valuation score relative to peer companies using qualitative business transaction risk data, the method comprising:

• receiving, by a graphical user interface (GUI) of a logic engine executing on a processor of a computer system, a plurality of user-provided answers to a set of business queries;
• quantizing, by the logic engine, each of the user-provided answers within a set of tranches to generate a plurality of quantized user-provided answers, the tranches mapping to numeric integer values;
• accessing, by the logic engine, a data storage device having a non-transitory computer-readable storage medium storing a plurality of qualitative business transaction risk data associated with the set of business queries, the plurality of qualitative business transaction risk data comprising a set of risk factors;
• automatically calculating, by the logic engine, a plurality of quantized weighted answer values associated with the plurality of quantized user-provided answers and the set of risk factors;
• searching, by the logic engine, the data storage device to map each of the quantized weighted answer values to one or more qualitative business transaction risk data stored on the data storage device to identify a plurality of identified business transaction risks;
• ranking, by the logic engine, the plurality of identified business transaction risks to automatically generate a risk prioritization list, the ranking based at least on a set of identified qualitative business transaction risk data associated with each identified business transaction risk;
• rendering, by the GUI of the logic engine, the risk prioritization list;
• automatically calculating, by the logic engine, a business valuation score based at least on:
• i) the risk prioritization list, and ii) the set of identified qualitative business transaction risk data associated with each identified business transaction risk;
• rendering, by the GUI of the logic engine, the business valuation score relative to peer companies on a price prediction graph;
• updating the plurality of qualitative business transaction risk data stored in the data storage device based on the plurality of quantized user-provided answers;
• generating, by the logic engine, a listing of potential fixes for a particular identified business transaction risk, the particular identified business transaction risk selected by a user by way of the GUI, the listing of potential fixes based at least on the qualitative business transaction risk data and the plurality of quantized user-provided answers;
• receiving, by the GUI of the logic engine, a re-ordering of the identified business transaction risks of the risk prioritization list to create a revised risk prioritization list;
• automatically re-calculating, by the logic engine, the business valuation score using the revised risk prioritization list to generate a revised business valuation score;
• and
• rendering, by the GUI of the logic engine, the revised business valuation score relative to peer companies on a revised price prediction graph.

A system for automatically calculating an interactive business valuation score relative to peer companies using qualitative business transaction risk data, the system comprising:

• a logic engine comprising a computer processor;
• a graphical user interface (GUI) associated with the logic engine and executing on the computer processor, the GUI configured to receive a plurality of user-provided answers to a set of business queries;
• a data storage device having a non-transitory computer-readable storage medium, the data storage device storing a plurality of qualitative business transaction risk data associated with the set of business queries, the plurality of qualitative business transaction risk data comprising a set of risk factors;
• wherein:
• the logic engine has machine-executable instructions operating to:
• quantize each of the user-provided answers within a set of tranches to generate a plurality of quantized user-provided answers;
• automatically calculate a plurality of quantized weighted answer values associated with the plurality of quantized user-provided answers and the set of risk factors;
• search the data storage device to map each of the quantized weighted answer values to one or more qualitative business transaction risk data stored on the data storage device to identify a plurality of identified business transaction risks;
• rank the plurality of identified business transaction risks to automatically generate a risk prioritization list, the ranking based at least on a set of identified qualitative business transaction risk data associated with each identified business transaction risk;
• render, by the GUI, the risk prioritization list;
• automatically calculate a business valuation score based at least on:
• i) the risk prioritization list, and ii) the set of identified qualitative business transaction risk data associated with each identified business transaction risk;
• render, by the GUI of the logic engine, the business valuation score relative to peer companies on a price prediction graph;
• receive, by the GUI of the logic engine, a re-ordering of the identified business transaction risks of the risk prioritization list to create a revised risk prioritization list;
• automatically re-calculate the business valuation score using the revised risk prioritization list to generate a revised business valuation score;
• and
• render, by the GUI of the logic engine, the revised business valuation score relative to peer companies on a revised price prediction graph.