Our standard engagement types in the Data Science domain include:
Data Science & Advanced Analytics
- Making predictions more accurate with AI
- Automating repetitive tasks
- Allocating marketing budgets more effectively
- Ensuring business continuity with AI-powered tools
- Understand patterns in your business data
- Secure your corporate data and IP from exfiltration
- And many more that we will be happy to discuss and explore
Our experience in Data Science & Advanced Analytics
- Processing behavioural data of hundreds of millions of customers
- Analysis and optimisation of budgets in programmatic Advertising
- Sales trends analysis and prediction
- Data enrichment and 3rd party data correlation
- Collection and real time analysis of events collected from distributed loyalty applications
- Automation and optimisation of Machine Learning models
- Creation of statistical models predicting customers behaviours based on past event sequences
- Optimisation of TV ads channel and time placement decisions
- Systems monitoring billions of packets daily for early network attack detection and mitigation
- Analysis and prediction of event sequences leading to customer churn
- Natural Language Processing for fraud risk assessment
- Machine Logs processing for data leakage monitoring and suspicious traffic patterns detection
- Social Network Analysis for fraud rings identification and other organized fraud scenarios monitoring
- Image segmentation and classification for business process automation
- Automatic pattern detection and visual search
- Automated anomaly detection in visual inputs
- Visual search and recommendation Engine development based on convolutional networks
Benefits of Data Science & Advanced Analytics services
How can your organization benefit from Data Engineering services?
- Making better decisions based on the powerful knowledge you gain from the data
- Improving product quality and user experience by analyzing gathered data
- Identifying new business opportunities by predicting behaviors based on historical data
- Reducing costs and increasing profits by simplifying your data architecture
- Reducing of project duration by speeding up the processes of accessing insights
Our technology tool stack
Data Science & Advanced Analytics FAQ
What is data science as a service?
Data Engineering is the process of transforming large amounts of company data into useful systems that are prepared for in-depth business analytics.
What is the benefit of data science?
Data Engineering makes it faster and easier to extract useful information from a company’s data. As a result, these insights help to make accurate business decisions.
Data engineering vs data science
A Data Engineering service takes care of collecting, parsing, managing, analyzing and visualizing large data sets in a company.
What are the elements of a Data Science project?
- Identifying the client’s needs
- Designing a highly scalable efficient data solution
- Implementing the ETL processes
- Validating and verifying data quality
- Delivering an analytical data driven solution for your organization
When does a company need a Data Science service?
If your company is experiencing difficulties with data processing and storage, our team of qualified Data Engineers can help structure and optimize your company’s data to deliver business insights.
Get in touch with us
Contact us to see how we can help you.
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