Data Management Services
Data management services are aimed at ingesting, storing, organizing and using data, which was created and collected by a company, securely and efficiently. Since 1989, ScienceSoft helps companies establish a well-tuned data management process to get reliable reporting based on high-quality data.
Data Management Services We Render
Data governance
- Data governance strategy design.
- Policies for user roles, rights, responsibilities, etc.
- Data-related standards and metrics.
Data quality management
- Data quality assurance.
- Data cleansing activities to eliminate duplicated, incomplete, erroneous or obsolete data.
Master and metadata management
- Master and metadata management strategy.
- Data source assessment (both internal and external).
- Standards and metrics for master and metadata quality monitoring.
Data integration into a centralized data storage
- Extract, transform, load (ETL) setup, ETL automation.
- Data warehouse and data lake creation.
- BI and big data solution architecture.
Data migration
- Sensitive and critical data assessment.
- Data migration plan.
- Migration automation.
- Data completeness testing.
Data enrichment
- Recommendations on additional data sources.
- Integration of additional data sources.
Data security
- Data risk assessment.
- Security policies and standards creation.
- Technology stack selection to improve data security.
Data architecture audit
- Data architecture audit.
- Data warehouse and BI health check. Security and performance monitoring and assessment.
Data management software implementation
- Outline of optimal data management technology stack.
- Integration of data management software into the existing data environment.
Data Management as a Service (DMaaS)
- Ready-to-use data management infrastructure.
- Data backup.
Our Data Management Dedicated Portfolio
ScienceSoft designed and implemented a data management and analytics platform to let a Texas-based telecom company collect data from multiple sources and get insights into customer behavior by conducting comprehensive data analysis.
ScienceSoft developed a centralized data analytics solution with data quality and data governance modules that allowed a US-based corporation to get a 360-degree customer view, optimize stock management and assess employee performance.
ScienceSoft delivered a BI solution that allowed the Customer to integrate, cleanse, store and analyze data from disparate data sources to improve HR and performance management.
ScienceSoft delivered a solution that allowed the Customer to process 30,000+ events per second from 1 million devices to inform pet owners about their pets’ locations, receive real-time notifications about critical events, as well as access the reports on their pet’s location.