We address all your data management needs, and help you in translating that data into visual representations suitable for understanding and use by all your audiences, from stakeholders to the general public.
The process of data management includes collection, organization, protection and storing of data for a company or organization, which can then be analyzed in order to make informed decisions. As the companies and organizations of today create and use increasing amounts of data, data management has become a necessity for processing and understanding these large amounts of information.
Translating information into a visual medium makes it easier to identify patterns, trends and outliers in large data sets so that conclusions can be made, but also eases the communication of that data to a number of audiences. Data visualization aims to format and deliver data in the most efficient possible way.
Our services include:
- Design of Web Based Qualitative and Quantitative Surveys
- Development of offline and online Data Collection Applications
- Design and Development of front end and back end of databases applications,
- Set up Import, DQA and export algorithms and coding routines
- Complex data management including mapping and database maintenance
- Visualization of data and dynamic dashboard development
- Provide regular analysis and critical analytical inputs to reporting
We have proven quantitative analysis skills in:
1) Core methods: Analysis of variance, Multiple-imputation, Linear models, Multivariate models (Maximum likelihood and nonlinear least square estimation), GMM, Semi parametrical methods, etc.
2) Simulation based methods: Bayesian statistics, Monte Carlo Integration and Markov Chain Monte Carlo Simulation etc.
3) Cross-Section and Panel models: Survival analysis, RE, FE, GEE, Logit and Probit models, Multinomial and Tobit selection models, Linear and nonlinear panel models, etc.
4) Methods for Stationary Time-Series Data: AR, MA, and ARMA Models,
5) Machine Learning and Data Fusion.