Macroprism subject matter experts have extensive experience of using both industry standard and various research and analytics tools to meet the needs and objectives of each client engagement.
Stakeholder Interactions – interactions take the form of discussions with industry players or other stakeholders through one-on-one meetings, workshops/group discussions or large-scale surveys
In-house Research – Macroprism has in-house research team tracking market knowledge across various geographies, industry segments and markets. These research insights form a key starting point for any study for market dynamics.
Literature Review – For several projects, Macroprism has conducted extensive review of literature ranging from research articles, academic and industry journals, and other sources of secondary knowledge.
To analyze the insights gathered from research phase of a study, our experts use various tools, which include:
Feature Engineering – includes Automated Feature Engineering, Deep Feature Synthesis
Econometric Analysis – includes analyzing economic parameters like impact on value-added, consumer surplus, deadweight loss, etc. We use several in-house models to estimate these aspects. These are based on econometric models such as Input-Output, Computable General Equilibrium models, selectivity correction, and difference-in-difference (DID), etc
Hypotheses based Statistical Analysis – based on developing a hypothesis and validating it using the insights gathered from research phase. The validation could be based on quantitative data or empirical evidences, depending on the nature of the hypotheses
Other Tools – including Scorecard based analysis: In certain cases, we use scorecard based approach to identify the performance on key decision metric, Issue based analysis: This analysis depends on a decision tree approach to identify and break down the problem into various subsets, and to identify the solution for the issue, several other tools like mind maps and root-cause analysis are used, depending on the requirement of the study.
Hypothesis Development – Specifically identify issues and/or opportunities to be explored, succinctly state the question(s) to be addressed and develop several hypotheses to be tested.
Research Design – Define the scope of research including type of research (e.g., qualitative, quantitative), scale of research (e.g., number of interviews to be conducted) and analysis approach (e.g., regression, forecasting).
Data Collection – Employ both quantitative (e.g., phone surveys, mail surveys, database searches) and qualitative (e.g., focus groups, telephone interviews, literature searches) techniques, as appropriate, to collect primary and secondary data.
Analysis and Interpretation – Evaluate data using a variety of analytical techniques (e.g., regression analysis, conjoint analysis) to test hypotheses, interpret findings and provide recommendations.
Intelligence and Analytics - Use a balanced assortment of analytic techniques, assess your analytic capabilities, and fill in the gaps, act on what you learn.