Data Quality assessment
We assess data quality and completeness to identify the strengths and weaknesses of data in relation to data quality dimensions (e.g., accuracy, reliability, consistency, relevance, accessibility, and timeliness) in preparation for data analysis.
After data quality assessment, we do data analytics and create analytical dashboards which give organization information from available data. These insights assist companies in making informed decisions while also reducing the risk associated with traditional trial-and-error methods.
Data reporting and Presentation
At this stage, we report the analytics findings and interpretation. After we report, we do data presentation through data dashboards, Data visualizations like data tables, graphs, and charts to draw rational and statistical conclusions from the data.