Data Management

Quality data, a prerequisite for valuable insights

Data Quality Assessment

Data completeness evaluation
Assessment and treatment of missing values
Data structures robustness check

Data Integration

Extraction of data from various environments: data bases, web-sources or raw data files
Harmonization between data sources and Consolidation of disparate data files into structured data bases
Cleansing and Enrichment of existing data records. De-duplication between conflicting data records and Merging of validated data sets
Loading transformed data into pre-defined data structures, Migrating data between data structures

Data Processes Automation

We automate data processes like the ones listed above by transforming business and data rules into scripts developed in VBA or SQL.

The ultimate mission

Support companies in using insights from data in day-to-day decision making.