The company collects data from various channels. Data integration requires the collection of data from various accounting and operational sources (web and ERP platforms) and their placement in a single space, in order to collect data as quickly as possible, with minimal manipulation, while maintaining data integrity and continuity.
Development and creation of an optimal architecture for data warehouses and analytical databases. Setting up a Data Integration Process (ETL). Optimization of the process of recording incoming data and the physical volume of data.
Development of a policy for storing and restoring data backups. Arranging automatic backup tasks according to the developed policy. Development of data access policies, division of access groups, and writing down authorizations according to users.
Data sorting, filtering, categorization, and validation. Data audit and completeness assessment. Creating Data mart from a database that is segment-oriented (sales, finance, marketing, etc.) and contains only the data needed for that segment.
Development of the company’s data creation, collection, storage, and processing strategy that aligns with the company’s strategic development goals. The development of a data management strategy is the process of planning, optimization, and development of data management, software, IT infrastructure, and personnel.