Data Analysis

Organisations need to innovate to stay competitive and have an edge over competition. Organisations need to adapt and chart a path to digitise and transform the organisational structure and policies. They should base decisions on insights from data rather than intuition. Organisations that are on a path to digitisation to have an edge over competition.

Results and conclusions can be communicated through reports and graphs. Graphical Data Visualization helps to obtain additional insights.

Statistical Data Models such as Correlation, Regression Analysis are used for analysis. Analysis is only as good as the data and the interpreter.

Data Cleaning is the process of preventing and correcting the errors the processed and organized data may have.

Data processing includes structuring the data as required for the relevant Analysis Tools.

Data Collection is the process of gathering information on targeted variables defined in the hypothesis.

Define the problem: Hypothesis, the dependent and the independent variables.

Data Analysis is a process of collecting, transforming, cleaning, and modeling data with the goal of discovering the required information.Three important aspects of data analysis are identifying the anomalies, differentiating correlation from causation and drawing insights from data . Hands on experience of working in the industry and exposure to various aspects of business are needed to successfully draw insights and that is what differentiate us from others. We also have a strong tech team that uses the latest technologies such as python and ‘R’ We are living in times where it's extremely easy to collect data with powerful techniques to analyse.