Data Management and support services

Data management services are aimed at ingesting, storing, organizing and using data, which was created and collected by an individual, small business startup or company, securely and efficiently. eProSoftware helps companies establish a well-tuned data management process to get reliable reporting based on high-quality data.

Data characteristics we guarantee with our services

Consistency

No data contradictions within one data store and across different data stores.

Accuracy

The information your data contains is reliable and error-free.

Completeness

Data is sufficient for answering your business questions.

Auditability

Data is accessible and it is possible to trace the introduced changes.

Uniqueness

A data record with specific details appears only once in a database, no data duplicates are reported.

Orderliness

Data has the required format and structure.

The scope of our data management services

Data governance

Data governance strategy design for data availability, quality and security.

Policies for user roles, rights, responsibilities etc., to ensure data consistency and proper usage.

Data quality management

Data quality assurance.

Data cleansing activities to eliminate duplicated, incomplete, erroneous or obsolete data.

Recommendations on and integration of additional data sources.

Master and metadata management

Master and metadata management strategy

Data source assessment (both internal and external).

Master and metadata regionalization and de-duplication.

Standards and metrics for master and metadata quality monitoring.

Data integration

Extract, transform, load (ETL) or extract, load, transform (ELT) setup and testing.

ETL/ELT automation.

Data virtualization.

Data warehousing and business intelligence

Data warehouse and data mart creation and implementation.

Business intelligence and data analytics infrastructure design and implementation.

Data migration

Sensitive and critical data assessment.

Data migration plan.

Data migration automation.

Data completeness testing.

Data security

Data risk assessment.

Security policies and standards creation and implementation.

Technology stack selection to improve data security.

Data architecture audit

Aligning enterprise strategy with data architecture, data architecture audit.

Data warehouse and BI health check. Security and performance monitoring and assessment.