Data modeling, database and data warehouse design and architecture
Design
We will build strategies around consumption, storage and reduction while understanding where data lands, how data is shared, analysed and consumed.
Architecture
We will define data collection capabilities with scalability and flexibility to handle data in both raw and processed formats to incrementally build on the outlined capabilities.
System Integration
Cost effective way to store large amounts of data. Maintain transformation scripts and write the codes to ingest, transform, reduce and /or analyze. Tool alignment to attain project goals and infrastructure.
System architecture and data flows to guide feature development
Data Integration
Software for providing a unified and consistent view of enterprise-wide data. Includes data from multiple platforms into a master data file, data management with match and source reviews, standardization (cleansing, merging), workflow and governance.
Data analysis
Deploy the tools and methodologies that turn raw data into business information including exploration, discovery, data preparation and analytics, often occurring in real-time.
Data Visualization
Software tools provide data analysts with an intuitive way to more easily visualize large volumes of data to graphically expose patterns and outliers hidden in the data. Features like support for ML models, integration with R, heatmaps, scatter plots and more.
Data Protection and Security
Ensure that wherever corporate-relevant data is stored, it’s secure from both internal and external threats, using the most robust security portfolio in the world.