БД мы проектировали, а вот трансформацию не совсем. Поэтому начнем.
Data Silos (GROK)
"Data silos" refer to isolated collections of data within an organization that are not integrated or easily accessible by other parts of the organization. Here's a breakdown of what this term means:
Key Characteristics:
- Isolation: Data is kept in separate systems or departments without sharing or integration. This can occur in different departments like marketing, sales, HR, etc., where each might have its own database or software solution.
- Inaccessibility: Other parts of the organization cannot easily access or use this data without special permissions, requests, or sometimes even manual data transfer.
- Lack of Integration: There's often no or limited data flow between these silos, meaning that the information held in one silo does not directly benefit or inform operations in another.
- Inefficiency: Work duplication might occur because one department isn't aware of what another is doing or has already done.
- Poor Decision Making: Without a holistic view of data, decisions might be based on incomplete information, leading to suboptimal outcomes.
- Reduced Innovation: Opportunities for cross-departmental insights or innovations are missed because the data needed isn't readily available or combined.
- Customer Experience: For companies, this can translate into a disjointed customer experience where different parts of the customer's interaction with the company (sales, support, marketing) do not reflect knowledge from other interactions.
- Legacy Systems: Older technology that isn't designed to integrate with modern systems or other departments' databases.
- Departmental Autonomy: Each department might choose its own tools or systems, leading to fragmentation.
- Organizational Culture: A culture that doesn't prioritize data sharing or where there's a protective stance over data.
- Regulatory or Security Concerns: Sometimes, data is siloed due to compliance with privacy laws or security policies.
- Data Integration Tools: Implementing technologies that can connect disparate data sources.
- Centralized Data Management: Creating a central data warehouse or using data lakes where all data can be stored and accessed.
- Cultural Shift: Encouraging a culture of data sharing and transparency across departments.
- Standardization: Using common data formats or platforms across the organization.
Understanding and addressing data silos is crucial for organizations aiming for efficiency, better data-driven decisions, and an enhanced ability to innovate. Management strategies often involve both technological solutions and changes in organizational behavior or culture.
Скорее всего да, проблема всем известна, стандартна: data silos
https://www.castordoc.com/data-strategy/how-do-large-organizations-avoid-data-silos
https://www.castordoc.com/blog/data-catalog-best-practices
https://www.techtarget.com/searchdatamanagement/definition/data-silo
Решение отменили: сможем пока обойтись без dwh, зациклим данные на crm. Выгрузка с УТ пойдет в crm, оттуда обратно в УТ, и далее это сделаем обмен в Бэкэнде. А бэкэндовские данные, напрямую создадим в crm, либо в УТ