Data Collection
Gathering and analysis of data from multiple sources, cleansing and refinement of datasets into a coherent and accurate resource across business silos.
Predictive Analytics
Aggregation and analysis of historical data, providing context for future decision making. Data diving to understand root causes of outcomes and provide predictions of future trends and outcomes. Strategic application of machine learning and statistical modelling.
Data Visualization
Turn raw data into visual or graphical representations to make it easier for stakeholders to understand patterns and trends in the data.
Real-time Analytics
Analyze data as soon as it comes into the system, providing insights in real-time.
Data Warehousing
Design and maintain a system for storing and retrieving large amounts of data efficiently.
Business Intelligence (BI)
Analyze data and present actionable information to help executives, managers, and other corporate end users make informed business decisions.