Extraction of useful and usable datasets from multiple sources and streams of data using statistical methods, database tools and AI algorithms.
Deep transformation of raw data into a normalized, structured format ready for quick ingestion into databases and BI tools for further analysis.
Deep analysis of the prepared data using a combination of descriptive, statistical and visual methods for detecting anomalies, trends and patterns.
Preparing and running various complex queries against databases, data marts and data lakes to extract meaningful related datasets for further use.
Comparing the current performance and quality values with historical records to evaluate progress towards set goals and the overall dynamics across the board.
Visualization of trends, patterns and statistics using charts and intuitive, dynamically updated dashboards providing a 360-degree data view.