Data Warehousing: centralization and consolidation of client and stakeholder data through ETL for organization into data marts allowing data integration into required systems and solutions
Data Mining: pattern recognition within large data sets to allow for classification, clustering and anomaly detection
Analytics: analysis and interpretation of data through descriptive, predictive, prescriptive and diagnostic analytics
Reporting: generation and distribution of reports and dashboards to client business areas and relevant stakeholders
Performance Management: monitoring and management of Key Performance Indicators (KPI's) against organizational goals