SAP Data Governance


Data Governance: An Overview and Key Considerations

What Is Data Governance?

SAP data can deliver innovation, drive user experience, and provide competitive advantage. The process of marrying SAP data with non-SAP data from different systems — from Internet of Things devices to the back office to an organization’s web systems — is defining data culture around the world.

Simply combining data, however, is not enough. Proper management is essential to realizing its value.

Data governance is considered a core component of an effective data management strategy. Data governance can ensure that data is consistent, accurate, and protected.

The Data Governance Institute (DGI) defines data governance as “a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.” (Read the DGI’s 10 rules of engagement.)

Data Governance: An Overview and Key Considerations

What Is Data Governance?

SAP data can deliver innovation, drive user experience, and provide competitive advantage. The process of marrying SAP data with non-SAP data from different systems — from Internet of Things devices to the back office to an organization’s web systems — is defining data culture around the world.

Simply combining data, however, is not enough. Proper management is essential to realizing its value.

Data governance is considered a core component of an effective data management strategy. Data governance can ensure that data is consistent, accurate, and protected.

The Data Governance Institute (DGI) defines data governance as “a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.” (Read the DGI’s 10 rules of engagement.)

Key Considerations for SAPinsiders

The following steps can help you implement effective data governance:

  • Create a strong business case for data governance. According to SAP partner Winshuttle, you need to be able to clearly communicate the value of your data to gain support from leadership. Winshuttle’s Winshuttle Foundation and Winshuttle Studio offer data management capabilities. According to the vendor, your data should be maintained through a data governance program that can ensure data quality and proper management, while complying with regulations to keep the data safe and effective.
  • Increase revenue potential with a strong data governance foundation. Consider the approach of Breakthru Beverage Group. On a mission to become a fully integrated, data-driven business, the company first built a foundation with its data governance program. The initiative to cleanse and conform its material, vendor, and customer data was supported by SAP partner Protiviti, and resulted in a scorecard on data cleanliness as well as a downstream benefit: revenue generation, by enabling the business to more quickly activate products and more accurately report on them. Read the full data story.
  • Set the stage for standardization and automation capabilities. In 2016, we wrote about Keurig Green Mountain’s approach to data governance. In response to meteoric growth and a growing love of the single-cup brew, the company undertook an ambitious data governance project. It transitioned from a data maintenance to a data governance organization. At the time, Keurig’s Director of Master Data Management Business Process Eileen Hanafin said its data governance initiative set the company up for future standardization and automation capabilities with a focus on continuous improvement.

13 results

  1. photograph of a physical data center/box; data governance

    Solidifying Your Data Governance by Utilizing Third-Party Support Platforms

    Reading time: 1 mins

    In a time when organizations increasingly depend on data for every aspect of their business, it is highly important to establish procedures and systems that will attend to the creation, quality, handling, and security of that data. This is where data governance comes in – especially for SAP systems where it plays a key part…

  2. A Virtual Win: Why SAP Integration is Vital for ServiceNow

    Reading time: 8 mins

    Despite some positive signs in recent months of slowing interest rates and inflation, the global economy will remain in a volatile state as we head into 2024, at least according to the World Economic Forum. For most organizations faced with the prospect of continued uncertainty, this raises a few questions around investment and competitiveness. There…

  3. Output management for SAP infrastructure image

    Cloud Data Compliance – Common Questions to Consider

    Reading time: 3 mins

    Compliance, like security, is a non-negotiable goal, and one that is increasingly complex. Cloud computing has clearly compounded this challenge with additional requirements such as encryption, auditing, data location, and data separation rules. While several factors are involved, organizations can increase confidence in their IT staff by addressing these common questions and avoid common pitfalls.…

  4. Supply Chain data management

    Make 2023 The Year of Building Supply Chain Data Foundation

    Reading time: 7 mins

    As we head into the new year, you have already read many articles predicting supply chain trends for 2023. I am not a big fan of predicting trends when it comes to supply chains. My primary reasoning is that these trends are not a surprise for seasoned supply chain leaders and executives. These leaders and…

  5. Case Study: National Vision Creates Data Buy-in, Single Version of Truth with Common Core Measures

    Learn how National Vision, one of the largest optical retailers in the United States operating 1,000 retail locations, established enterprise-wide best practices for developing common core measures, and successfully implemented a core metrics infrastructure and governance that feeds all business reporting and analytics. Learn firsthand from the planning, rollout, and ongoing strategy and maintenance which…

  6. How to Tackle the Top 3 Challenges with Materials and SAP Product Data

    Reading time: 1 min

    If you’re running your manufacturing operations using an SAP ERP system you know there’s a mountain of master data behind each product. If you’re charged with improving how your business handles materials and SAP product data processes, this eBook is for you. You’ll come away with practical tips on how to tackle the top 3…

  7. How To Start And Build Successful SAP Data Management Program

    Reading time: 1 min

    If you’re a data governance or SAP® master data professional responsible for improving the quality of the SAP ERP data, this eBook is for you. It will give you a high-level overview of what to consider if you’re building an SAP data management program from scratch or looking for ways to boost the performance of…

  8. History, Data, and Success in the Digital Economy

    Reading time: 3 mins

    Back in 1973, in the early days of SAP, co-founder Hasso Plattner had a mishap. In those days, the company processed data using punch cards that ran on mainframe computers. Time on these mainframes was a precious commodity, and programmers like Hasso would travel from computer to computer according to availability, toting the punch cards…

  9. Converting to SAP HANA or SAP S/4HANA?

    Reading time: 5 mins

    Any company moving to SAP HANA or SAP S/4HANA must have a strategy in place for managing data — especially organizations who will be converting their existing SAP systems. While data management best practices for SAP systems recommend reducing the size of existing systems to reduce the cost and complexity of a conversion, different strategies…

  10. Building a True Data Monetization Strategy

    Reading time: 4 mins

    Monetization is the end goal for all data use — organizations must find a way to leverage data to either reduce costs or gain new revenue. To effectively monetize the growing volumes of data in modern business landscapes, organizations need a comprehensive strategy that is scalable, flexible, and able to synthesize internal and external data…