Get more out of your data and optimize cost of ownership with cloud data platforms
Challenges
Overcome technical limitations of existing data platform
1
Optimization cost of ownership of data platform
2
On-demand infrastructure management as business grows
3
Reducing the complexity of data usage
4
Integration of business intelligence, data management, data quality, artificial intelligence and other tools into a complex IT landscape
5
Provide business with new data processing technologies with a minimum entry threshold
6
Challenges
1
Overcome technical limitations of existing data platform
2
Optimization cost of ownership of data platform
3
On-demand infrastructure management as business grows
4
Reducing the complexity of data usage
5
Integration of business intelligence, data management, data quality, artificial intelligence and other tools into a complex IT landscape
6
Provide business with new data processing technologies with a minimum entry threshold
Solution
Build an efficient data processing solution using years of experience and best practices to solve business problems with modern cloud processing tools.
Main features
Focus on business tasks, not infrastructure
Ability to quickly test business hypotheses using self-service cloud tools
Make data clear and transparent to everyone with business intelligence, data governance, and data quality tools
Full cost control: no overpayments for unused resources
Data enrichment for subsequent BI and AI purposes
Acceleration of data delivery and availability for business
Implementation of CI/CD processes with build-in DataOps approach