Analytic Consulting Details

Analytic Consulting

We work closely with you through each of the following stages, in order to come up with the best solutions to your issues...

Conceptual Modelling

The conceptual modelling, independent of design or implementation concerns, clarifies the meaning of various and ambiguous concepts, and ensures that problems with different interpretations, which could easily cause confusion among stakeholders, do not occur. A conceptual model can be described using various notations, such as UML and ER Diagram. It is important not to compromise the clarity of the business meaning depicted in the conceptual model, by expressing it directly in a form influenced by design or implementation concerns.

Data Collection and Analysis

After having perceived the system to be analysed and the parameters that need investigation, a careful and thorough data collection and analysis is usually enlightening in many ways. This is the best approach to define the current situation which can lead consultants to explore new hypotheses or help refine existing hypotheses. In order to develop a hypothesis for the likely causes, key variables and possible solutions of each issue are investigated, a series of exploratory analysis of the collected data is undertaken so as to reach to the best hypothesis.

Simulation Application in Business Processes (Discrete-Event Simulation)

Business Process Simulation enables two important functions: (1) to capture existing processes by structurally representing their activities and related elements; and (2) to represent new processes in order to evaluate their performance. In addition to these functions, a business process modelling method should enable process evaluation and selection of alternatives.

Experimentation, Verification, Validation

The goal of model building is to simulate and represent the real-world system, so that scientific experiments can be conducted. With simulation models, hundreds or even thousands of possible solutions can be explored to identify optimal solutions under differing conditions or constraints. Out of the thousands of possible solutions, a Decision Analyst can identify a small set of optimal solutions, validate and verify them, in order to recommend them to the client.

System Dynamic Models

System dynamic models approach is a methodology and a mathematical modelling technique for framing, understanding and discussing complex issues and problems. It follows an iterative approach, dealing with internal feedback loops and time delays that affect the behaviour of the entire system. These elements help describe how even seemingly simple systems display baffling nonlinearity and the working model can then be modified and improved as necessary to show the desired level of detail and complexity.

Operational Research Techniques

Operational Research is the discipline of applying advanced analytical methods to facilitate the process of decision-making. By using techniques such as mathematical modelling to analyse complex situations, operational research gives executives the power to make more effective decisions and build more productive systems. Operational Research Techniques are used to provide efficient solution treatment for specific problems and to optimize any encountered issue.