Data Science

We at ATS Global work to aid your business decision making.

Our Business Intelligence team is dedicated to develop and customize software solutions that would help you:

• Harness growth opportunities
• Enhance operational efficiencies
• Increase profitability
• Streamline costs

In the current market success and failure of an enterprise depends on holding a competitive edge. A most important way of staying relevant is to utilize the past data to make better decisions for the future. Implementing the right technological solution for your business is vital and plays a meaningful role in the long-run.

At ATS Global, we understand the need. We maintain a team of seasoned consultants and engineers who could trim and customize solutions to your needs. To provide you with the best in class solutions and services, we also partner with solution providers like Microsoft and Tableau.

Our Business Intelligence Services

Business Intelligence implementation and services

• Analytics solution design.
• Develop analytics solution components like data management procedures, reports, and dashboards.
• Adhoc reporting and dashboards.
• Analytics solution support and administration.
• Data management procedures (master data/metadata management, data quality assurance,data security, etc.).

Business Intelligence consulting

• Enterprise needs analysis.
• Implementation and migration strategy.
• Solution Design.
• User adoption strategies.
• Solution cloud migration supervision.
• Proof of concept (for complex projects).
• Advising on data quality and data security.
• Troubleshooting current implementation

Our Data Analytics Services

Data integration and management

• Data collection from internal and external data sources.
• Different data extraction and load modes (batch or near-real-time)
• Data transformation
• Data model creation and maintenance.

Data analysis and Visualization

• Enterprise needs analysis.
• Implementation and migration strategy.
• Solution Design.
• User adoption strategies.
• Solution cloud migration supervision.
• Proof of concept (for complex projects).
• Advising on data quality and data security.
• Troubleshooting current implementation
• Online analytical processing (OLAP)
• Structured and unstructured data handling
• Different data analytics modes (e.g., batch, streaming analytics.)
• Descriptive and diagnostic analytics.
• Geospatial analytics.
• Augmented analytics for analytics insights.

Machine learning

• Data mining
• Machine learning models creation for predictive analytics and forecasting.
• Deep learning implementations