Data Science Management
Make Your Data a Strategic Asset
Data management services aim to create a platform for data aggregation and analytics. In individually tailored programs, ScienceSoft covers all data management functions and achieves value-driven data usage.
- 6+Years
In data science management
- 6+Years
Of experience
- 10+
Complete projects
Data Management Program
Data governance
Drawing up data governance standards and policies to ensure data availability, integration, quality, security, proper usage, etc.
Data quality management
Data cleansing activities, data enrichment and regular data quality assurance.
Data storage
Designing, implementing and supporting storage solutions for datasets of varying scale and format.
Data security
Setting up data security practices and regular BI and DWH risk assessment to prevent unauthorized data access and inappropriate data usage.
Cooperation Models We Offer
Data governance and compliance
AI services provide data governance platforms that help data companies ensure data quality, manage data policies, enforce data security, and comply with data regulations.
Data cataloging and discovery
Azure Purview and similar tools enable data companies to efficiently catalog, classify, and search for data assets across diverse sources, enhancing data management and discovery.
Data security
It involves implementing measures and safeguards to ensure the confidentiality, integrity, and availability of data. Ex: Access Controls, Encryption, Data Backup and Recovery.
Data monitoring
Our data management strategy includes monitoring and analyzing data to ensure integrity, quality, and security. We continuously process workflows to identify anomalies, errors, and inconsistencies for effective data maintenance.
Data quality and cleansing
They help data companies improve data quality by identifying and resolving issues such as missing values, duplicates, inconsistencies, and data formatting problems.
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