Data Science, Engineering and Analytics
Our data science and data engineering services (DSaaS) empower organisations with contextual analytics/insights to make informed decisions, driving business value and outcomes. Data scientists achieve this by performing the following: data ingestion, data preparation, data cleansing or data cleaning, right algorithm identification and developing machine learning and artificial intelligence models.
- Independent advice on standards, best practices and approaches
- Creating and robust data models and data storage
- Delivering AI/ML algorithms and using them for analytics
- Delivering reporting and dashboards on near real-time data
- Delivering user experience (UX) design, advice and analytics
- Designing and creating databases, data structures, dataflows and ETL/ELT processes
- Designing and creating a centralized datalake for critical data
- Designing and creating data ingestion and publishing functions and API’s
- Providing data science and Engineering as a complete service
- Having experienced professionals to create the best data solution.
- Connecting the dots in user experience and accessibility data
- Enabling the business with smarter decisions based on data
- Enabling Insightful data analytics and reporting
- Enabling data intelligence through ML and AI functions
- Enabling high quality data process with robust design
- Enabling scalable and high-performance data sharing and storage
- Enabling secure integrations and publishing of data through API’s
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