The most common use case for introducing data management is compliance, and it is easy to justify. However, many companies use a rigid framework with no clear compliance aspect or focus on a small part of data management with very few sub-functions.

Some data experts believe companies still need to develop a compliance-oriented data management plan incorporating solid corporate value.

SAP Data Governance Consulting offers a sound solution for managing enterprise data on-premises or in the cloud, with shared data use cases that meet business and IT requirements.

New regulations, such as the General Data Protection Regulation and political uncertainty, have reduced the number of data use cases that have resisted expansion to provide maximum value. The General Data Protection Regulation has encouraged companies to think about data management. By supporting data management, companies can unlock the potential of their data.

Organizational compliance is more related to strategic and commercial implementation. But today, companies need to think more broadly and consider the benefits for future business goals, such as:

- Transforming data

- Data warehouse

- Advanced analytics

- Machine learning

- Data Science

Good data management must take into account current and future business needs. Better data management also meets the needs of modern organizations, such as.

Data Science

Data science is based on a thorough understanding of data and how it is used. More than a simple, lucid dictionary you have been using for a long time is required. You need a comprehensive data dictionary that you can access anytime, anywhere.

Data Warehouse

Modern businesses need advanced data analysis skills, including machine learning and data science. Analysts should spend time building data warehouses, as this process will help improve efficiency through reliable data quality and decision-making. Therefore, data warehousing will be an efficient service provider for these companies.

Data Ethics

In this new era, data management must be closely linked to analytics ethics, even if all the changes required in data management will continuously help your business.

Data Management Culture

Today, data management is no longer just a group or department but a center of expertise that brings together all the information in an organization and is used throughout the organization. The data management team needs to be skilled in assessing, interpreting, and understanding data to develop and structure it to shape and transform the organization's project-based business profile. Experienced analysts supporting the overall process should add value to the data and continuously evolve data strategies in line with business developments.

Data Quality

Without data management, any data quality effort is tactical at best. This means the business is constantly cleaning the data, possibly adding default values if a required field is left blank. Data governance establishes processes, roles, and responsibilities to identify and address the root causes of poor data quality, thus avoiding the need to clean data continually.

Conclusion

Future business requirements are increasingly different from past ones, and data information is becoming more diverse. Businesses should therefore consider future data management specialisms.

SAP Data Management Consulting supports companies in developing their data strategies with a team of experts who can develop the culture, processes, data management, and advanced technology capabilities to compete in the future world of big data.