Data Analytics Modelling and Forecasting

Data analysis finds its importance in decision making with respect to issues, which may be as simple as those involving daily life to as complex as involving management of complex business and scientific endeavours. It derives its power from systematic patterns and relationships observed in historical events and outcomes. For example, analyses of historical patterns of incomes, investments, savings, stock markets, global dependence and coordination, weather conditions, and policy stances are very helpful in corporate decision making and allocating government expenditures.

Data analysis and data mining involve processes of inspecting, cleaning, transforming, and modelling quantitative information with the goal of discovering useful information, suggesting conclusions, and supporting decision making. It has multiple facets and approaches, encompassing diverse qualitative and quantitative techniques under a variety of names, in different domains such as business, science, and social science. The nature of analysis may be of the form of business intelligence, description of facts (descriptive statistics with linguistic and textual emphasis), exploration of new features in data (exploratory data analysis - EDA), or confirmation of certain pre-conceived hypothesis (confirmatory data analysis - CDA). Depending on the type of data and needs of the analysis, researchers follow different methods of modelling, which may be linear, non-linear, or structural in nature. 

We offer specialized services in data analytics using appropriate statistical and modelling tools to bring out most relevant results for answering business and policy questions leading to informed decision making. Our analytical tools inter-alia includes the following:

  1. Spread Sheet Modelling
  2. Judgement and Market Research
  3. Econometric Modelling
  4. Time Series Analysis
  5. Causal and Behavioural Analysis
  6. Indexing
  7. Artificial Intelligence Methods
  8. Clinical Statistics
  9. Input-Output Analysis
  10. Social Accounting Matrix
  11. Computable General Equilibrium
  12. Dynamic Stochastic General Equilibrium
  13. Cost-Benefit Analysis Least Cost Options
  14. Risk Analysis