Baťa, akciová společnost - case study

Requirements

The solution enabling efficient analysis of company data and quick and easy creation of reports, from which the company management prepares daily plans and predicts costs.

• The existing reporting did not provide enough analytical functionality, did not allow self-service, was too static and any change to the reports was difficult.
• Costs were difficult to plan in the Pricing Model.
• The performance set at the compute time limit did not provide a sufficient time window to populate the data warehouse (DWH)

Improved operational efficiency including supply chain management.
More accurate prediction of customer demand considering seasonality and location.
Increased customer satisfaction.

Solution

One of the deciding factors for choosing the Oracle technology was the provision of the corporate standard for the databases since 1992 and the European standard for POS - Oracle Retail POS.

Another major factor for the decision was the existing Oracle DB-based ERP system for manufacturing, which has helped manage the production of 200,000,000 pairs of shoes in 20 plants.

Oracle also provides a clearly defined pricing model and easy scalability of the solution. The administration of the environment could be outsourced. Thanks to the cloud technology, the service can be accessed anywhere and anytime, which was one of the requirements.

Oracle Data Integrator was chosen as the platform for data integration by connecting to Baťa's source systems. It processes and stores the acquired data in a relational database, thus fulfilling the analytical data warehouse (datamart) which is hosted in the cloud and on top of which the analytical platform itself runs. This analytical platform is then used to prepare individual reports that form the basis for further strategic planning and decision-making by Baťa's management.

The extension to the Oracle Retail platform is intended to help increase the operational efficiency of more than 5,300 brick-and-mortar stores in 70 countries. The solution will also be used to modernize the supply chain, reduce investment in excess inventory, and increase individual margins. The solution can provide a detailed view of customer preferences and demand at the individual store and country level, enabling better prediction of customer demand and increased customer satisfaction with the availability of goods in brick-and-mortar stores and e-shops.