Data Management
Data Management Services
Data management services aim to create a platform for data aggregation and analytics. In individually tailored programs, Birrtech covers all data management functions and achieves value-driven data usage.
Birrtech's 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
- Drawing up data governance standards and policies to ensure data availability, integration, quality, security, proper usage, etc.
- Evaluating the existing data governance standards and policies.
Data architecture
- Designing data architecture to govern how data is captured, integrated, stored, analyzed, and used.
- Auditing data architecture to align it with the enterprise strategy.
Data integration
Consolidating data from disparate data sources with extract, transform, load (ETL) or extract, load, transform (ELT) processes and data virtualization.
Data quality management
- Data cleansing activities, data enrichment and regular data quality assurance.
- Evaluating the existing data governance standards and policies.
Data storage
Designing, implementing and supporting storage solutions for datasets of varying scale and format.
Reference and master data management
Enabling data consistency and quality across transactional and business intelligence systems with data profiling, data deduplication and standardization, etc.
Metadata management
Designing and populating metadata repositories with metadata to ensure localization of a data asset, data lineage, etc.
Data warehousing, analytics, and reporting
Designing and implementing the BI and data analytics infrastructure to ensure maximized data value.
Data security
Setting up data security practices and regular BI and DWH risk assessment to prevent unauthorized data access and inappropriate data usage.
Data migration and backup
Moving your data from one system to another for ensured efficiency and security with preliminary data assessment, data migration automation, and data completeness evaluation.
Data Quality Standards We Target
When establishing data management for customers, Birrtech guarantees the following data quality characteristics:
Consistency
Accuracy
Completeness
Auditability
Timeliness
Uniqueness
Data Quality Standards We Target
Data management software implementation
Birrtech helps you launch a full-scale data management program for intelligent decision-making by:
- Defining data management objectives.
- Evaluating the maturity level of your data management.
- Drawing up data governance policies and standards.
- Designing architecture and selecting software for a technical solution(s).
- Developing and stabilizing a tech solution for each data management program element.
- Launching the tech solution(s).
Pricing model: Time & Material, Time & Material with a cap – you receive the end-of-the-month invoice based on the hours or efforts reported per month (under the stated upper limit in case of T&M with a cap).
Data Management as a Service (DMaaS)
Data management as a service is a pay-as-you-go cloud service that provides:
- Ready-to-use data management infrastructure provisioned and managed by ScienceSoft.
- Automated data backup to safeguard your data assets.
- Easy and secure data access.
- Reduced data management infrastructure costs.
Pricing model: Monthly subscription fee – you pay a fixed price based on a variety of factors (data volume, number of data sources, data architecture complexity, data quality requirements, etc.).