A unified, reliable data source is created in the company, where the quality of the required data is normalized and recorded in a format convenient for analytics. As a result, the amount of data useful for analytics increases
It is possible to collect data from various internal accounting or external sources in the database and as a result, the company has the opportunity to observe trends that would be impossible within a particular software
Data in the warehouse is updated in automatic mode. Data analysts no longer have to spend resources on their unification processing. Analysts are encouraged to concentrate on analytical activities instead of routine
Unified Data Warehouse is a key part of a Data Management System. Data Warehouse combines the amount of data collected from different sources needed to solve further analytical tasks. The warehouse may combine data from the company’s internal accounting software, as well as from external statistical or analytical sources.
Before being stored in a warehouse, the data is transformed in a way that it can be used for mathematical manipulations and various analytical processing; Both directly in the database and through various analytical Business Intelligence tools.
The process of creating a Data Warehouse involves collecting, processing, and organizing data from various sources so that the received database responds to business analytics tasks. The process consists of the following main stages:
Data warehouses unlike specific software:
Irma has held various leadership positions, including as Lean Transformation Coordinator, IT Portfolio Manager, and Agile Coach. Lean Management was introduced in Georgia together with the consulting company Mckinsey & co and a local team, both in the front office and in the back office.