DATA & AI SERVICES

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

Cloud Group Image
Cloud Group Image
Cloud Group Image
Cloud Group Image
OUR PROGRAM

Data Management Program

To help you manage corporate data throughout its life cycle, we implement a comprehensive data management program, which includes the following elements:
Data governance

Data governance

Drawing up data governance standards and policies to ensure data availability, integration, quality, security, proper usage, etc.

Data quality management

Data quality management

Data cleansing activities, data enrichment and regular data quality assurance.

Data storage

Data storage

Designing, implementing and supporting storage solutions for datasets of varying scale and format.

Data security

Data security

Setting up data security practices and regular BI and DWH risk assessment to prevent unauthorized data access and inappropriate data usage.

WHAT WE OFFER

Cooperation Models We Offer

We provide custom application development services to businesses with various software needs.

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.

Your need is not on the list?

No worries, most likely we’ll be able to help! We can start with your specific needs. Let’s discuss your business challenges and desires!

OUR TECH STACK

Tools and Technologies

Our software engineers employ the proven combination of the latest and classic trusted technologies, having the following technology stack as the basis:
Azure Data Factory
Azure Data Factory
Azure Databricks
Azure Databricks
Azure SQL Database
Azure SQL Database
Azure Synapse Analytics
Azure Synapse Analytics