Overview of dataspot.
dataspot. is a software for managing metadata - the knowledge about your data - and specifically supports the development and sustainable anchoring of data governance in companies.
The advantages of dataspot. are
- Compliance with governance, process, security and audit controls
- Company-wide harmonized, technical and organizational view of data
- Standardized metadata model incl. versioning
- Validated KPIs for the entire company, based on the specialist departments
- Simple embedding in processes and projects, effort savings, e.g. for data migrations, ERP introduction or replacement, data warehouse projects, etc.
- Flexible expandability of the connections
- Availability of data model templates
- Data quality
- Saas solution
- Leading solution according to BARC's The Data Management Survey 24
The business data model
The business data model corresponds to a business object model and maps the business of a company across all technical implementations.
The objectives of the business data model are
- Achieving the uniqueness of data
- Increase data quality
- Ensuring the consistent use of data
- Improving services for the data consumer
- To map the business in business terms as a differentiation from the technical model
Metadata management and data lineage
Metadata management:
Metadata is documented technically and professionally (description, responsibilities, transformations, issues and status) and made available to the entire company in a system catalog. This allows metadata to be stored in a hierarchically organized manner and to be easily queried and found. In addition, checks can be stored for data structures, which check the data with each import, identify changes and trigger corresponding notifications.
Data can be integrated and extracted as required using dataspot.'s existing API architecture. Further data integrations can be developed individually.
Data Lineage:
In dataspot. End2End data flows (data lineage) can be recorded and displayed graphically in a technically and professionally transparent manner. A distinction is made between automatic and manual mapping of the End2End data lineage, including changes to data (ETL routes, conversions, transformations, mappings, filtering, etc.) on the basis of query histories in the databases.
Data products can be recorded as data sets to show the effects on other data elements and the responsibilities assigned to the respective element. In addition, the further processing of the data is also displayed, making all derivations, transformations and data uses visible. This supports, for example, the adaptation or extension of an interface, changes to reference values or adjustments to calculation rules.
Data Governance Organisation
The software can be used to create and manage a defined data governance role model. In addition, dataspot. provides a best-practice approach with the Data Excellence Framework to anchor data governance in the company in the long term. Thanks to a configurable role and authorization system, company data is made available to the entire organization and can thus be used in a value-oriented manner.
Data Excellence in a nutshell:
