Using automated tools to extract data from primary and secondary sources.
Removing corrupted data and fixing coding errors and related problems.
Developing and maintaining databases, data systems – reorganizing data in a readable format.
- Performing analysis to assess quality and meaning of data.
- Filter Data by reviewing reports and performance indicators to identify and correct code problems.
- Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
- Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
- Analyzing local, national, and global trends that impact both the organization and the industry.
- Preparing reports for the management stating trends, patterns, and predictions using relevant data.
- Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.