Data Science managed service solutions leverage predictive analytics for real-time insights and enhanced customer experience. We help our clients solve the data challenges like data cleansing, data extraction, data visualization to improve customer experience rate based on knowledge and foresight.
XenonStack provides Data Science Services and solutions help enterprises for Business case identification, Data veracity assessment, design recommendations Analysis, Business Values Mapping, Solution Roadmap, and Technology Identification.Explore our Services, Data Science Consulting Services
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract value from data. Data Scientists combine a range of their skills—including statistics, computer science, and business knowledge—to analyze data collected from the internet, phones, customers, sensors, and other sources. Data science shows patterns and observations that can be utilized for companies to make strategic decisions and develop more creative goods and services. Data is the building stone of creativity, but its importance derives from the knowledge scientists who can learn from it and then operate on it.
How our Data Science Managed service can address your Data Scientists concerns?
Increase the production rate
Multi-platform and version experience
High agility and productivity with rapid provisioning and elastic scaling for production, test, and development environments
Predictive fraud propensity models and to create alerts that help ensure timely responses when unusual data is recognized.
Certified Specialists resources - Flexible Resources for Team Augmentation and easy access to Certified Specialists
Extensive tools, best practices, and processes
Streamline mapping of assets, vulnerabilities, best in class security and regulatory compliance
Reduced business risk through custom SLAs, driving high availability and business continuity
Data Modelling Using Neural Networks, Machine learning & Deep Learning
Data Modelling and Algorithms Deployments on Docker, Kubernetes, On-Premises or Public Cloud
Generate Intelligent and actionable insights in Real-Time
Operational and Cognitive Intelligence
Improves utilization of IT services
Increase and streamline the workforce collaboration