Data Management Strategies

Businesses across all sectors are actively refining their data management strategies to fully leverage their data assets, thus driving innovation and securing competitive advantages. The movement toward more accessible data modeling and analytics is transforming the way organizations utilize their data resources. A cohesive system that merges data management, analytics, and AI governance equips enterprises poised for the future with profound, actionable insights that catalyze innovation and promote long-term growth. However, despite these advancements, numerous organizations continue to face challenges with disconnected data environments, isolated systems, and dispersed insights, which hamper their ability to make well-informed decisions.

To provide insights and understanding related to SAP customers’ data management practices, SAPinsider surveyed 171 data management professionals from January to April of 2024. SAPinsider also conducted several in-depth interviews with customers and partners specializing in data management to more deeply understand the issues and trends raised by the survey data.

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A data strategy is a long-term plan that specifies how an organization should collect, store, manage, share, and utilize data, aligning closely with its overarching business objectives. As SAP organizations pursue ever-rising goals across growth, productivity, efficiency, customer experience, sustainability and other pillars, becoming a data-driven enterprise is fundamental. Real-time access to crucial business data is increasingly seen as a cornerstone of genuine digital transformation. Businesses across all sectors are actively refining their data management strategies to fully leverage their data assets, thus driving innovation and securing competitive advantages. The movement toward more accessible data modeling and analytics is transforming the way organizations utilize their data resources. A cohesive system that merges data management, analytics, and AI governance equips enterprises poised for the future with profound, actionable insights that catalyze innovation and promote long-term growth. However, despite these advancements, numerous organizations continue to face challenges with disconnected data environments, isolated systems, and dispersed insights, which hamper their ability to make well-informed decisions.

To provide insights and understanding related to SAP customers’ data management practices, SAPinsider surveyed 171 data management professionals from January to April of 2024. SAPinsider also conducted several in-depth interviews with customers and partners specializing in data management to more deeply understand the issues and trends raised by the survey data.

Download the benchmark report to read the full data analysis from 159 members of the SAPinsider community and receive recommendations for your own plans.

• Explore SAP customers’ data management practices, pain points, and factors driving data management strategies.
• Understand the shift towards centralization in data management practices and organizations valuing a singular source of truth for data to enhance accuracy and efficiency.
• Learn how respondents are planning to succeed in data management by exploring a spectrum of solutions to enhance their data management frameworks.

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