Data Management Capabilities: The Building Blocks for Data Integrity
Meet the Authors
Key Takeaways
⇨ Data management tools must evolve with organizational growth to ensure effective data governance and mitigate risks associated with increased data complexity.
⇨ Integrating platforms like Collibra and SAP Datasphere enhances data visibility and governance, empowering all business users while maintaining data integrity across various sources.
⇨ Strong data management practices are essential to avoid operational inefficiencies, reduce costs, and ensure compliance with regulations, highlighting the importance of scalable and future-proof data strategies.
The need for and purview of a data management tool in an organisation, changes with time and the firm’s growth. A data tool that may have worked well previously to offer data cataloguing, tracking, or quality checks may need help to perform these tasks as the organisation grows and the data increases along with it, which becomes a liability for a firm.
Therefore, organisations seeking to strengthen their data governance tools would need to ensure that their data tools can:
- Use context to build trust by connecting business, technical and privacy metadata;
- Empower everyone across the firm by putting trust back into the data for all business users;
- Future-proof company-wide data strategy by investing in a data foundation that can meet the long-term goals of a company and
- Scale data policies by providing the ability for data experts to maintain cross-system policies to classify and protect data.
Collibra and SAP Datasphere recently deepened their collaboration and offer an integrated data platform with the general availability of Collibra’s initial integration with SAP Datasphere’s services for mission-critical business data.
In the first phase, the integration between Collibra and SAP Datasphere will occur for SAP Analytics Cloud.
The latest collaboration builds on the two companies’ initial work to deliver data for every user case and user across every data source, giving a unified view of an organisation’s data assets across various sources.
Collibra’s latest general announcement for SAP Analytics Cloud also ensures the integrity of various data points within an organisation as the usage of artificial intelligence (AI) grows. It allows users to oversee the entire data lifecycle, from ingestion to archiving it efficiently across both platforms. It also improves data governance maturity and business sponsorship in an organisation.
Inadequate data management and governance processes can result in operational inefficiencies, higher costs and non-compliance with government regulations and laws. Thus, these integrations establish strong data management practices and reduce the risks related to unsecured data through integrated tools.
Premium
