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Data Accessibility: A Hurdle Before SAP’s AI Integration

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insightsoftware is a global provider of reporting, analytics, and performance management solutions, empowering organizations to unlock business data and transform the way finance and data teams operate.

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Unlocking the power of AI within SAP for your team requires overcoming a significant hurdle: data accessibility. SAP data’s complexity, spread across various modules, creates silos of information that your team might struggle to understand and utilize effectively. Inaccessible or misaligned SAP data will hinder your AI system’s ability to learn and deliver valuable results specific to your organization.

The key lies in making data accessible and understandable for your users. Solutions exist that translate SAP’s complex structures into a user-friendly format tailored for your team. No more wrestling with codes or hunting for information – you can access data in clear terms, building towards a future where your team is empowered to leverage AI tools for tasks like automated reports, forecasting future trends, or identifying potential risks.

SAP Integrated Business Planning (IBP) and AI-powered Data Cleansing

If your team is working in an SAP environment, you may be interested in SAP’s Integrated Business Planning (IBP) which offers compelling, built-in AI capabilities. One such feature is “master data anomaly detection,” designed to specifically address a critical challenge: ensuring the accuracy and consistency of master data, which can be plagued by errors due to manual entry, integration issues, and lack of standardization.

However, if your team is accustomed to traditional methods they might hesitate to embrace SAP IBP’s AI-powered data anomaly detection for a few reasons. Firstly, there’s a potential fear of the unknown – relying on AI for such a critical task as data quality can feel like a leap of faith. You might be concerned that the AI’s “black box” nature, where the decision-making process isn’t entirely transparent, could lead to missed nuances or errors.

Thankfully, if you don’t have SAP IBP or are not quite ready to use fully autonomous AI there are still options. Alternative solutions exist that can simplify the data cleansing process. Software with a direct connection to SAP and built-in business knowledge can translate complex data structures into a more user-friendly format, making it easier for your team to understand and collaborate with AI-powered applications within their SAP environment. This can be a stepping stone towards more comprehensive AI integration in the future.

Mastering Master Data: How AI Will Play a Role

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Angles Enterprise for SAP: Paving the Way for AI Adoption

While Angles Enterprise for SAP isn’t directly an AI tool itself, it tackles a critical hurdle that often precedes implementing AI in business applications: ensuring data accessibility and comprehension for everyday business users. Here’s how Angles acts as a bridge to a successful AI integration within your SAP environment:

  • Unlocking Hidden Insights: Angles dismantles the complexity of SAP data structures. It translates complex SAP data formats into a user-friendly language with clear business terms. This empowers your finance team to independently access the information they need, reducing reliance on IT for data extraction and interpretation. Your business users can get the answers they need quickly, fostering a culture of data ownership and exploration. This is a crucial step towards a future where these same users can collaborate effectively with AI tools.
  • Self-Service Analytics for Everyone: Angles empowers your finance team and non-technical users to become data analysts. It provides them with the tools to create their own reports and dashboards, all without needing extensive technical expertise. This self-service approach fosters a culture of data-driven decision making throughout your organization. As your team and users become more comfortable working with and interpreting data, they’ll be better prepared to collaborate with and understand the insights generated by AI later on.
  • Cleaning the Foundation for AI: Data quality is paramount for successful AI adoption. Angles acts as a data custodian, helping identify and rectify inconsistencies within your SAP system. Imagine feeding an AI engine with messy or inaccurate data – the outputs would be unreliable at best. Angles ensures your data is clean and trustworthy, providing a solid foundation for training and using AI models effectively. This sets the stage for AI to generate accurate and actionable insights specific to your business needs.

In essence, Angles Enterprise for SAP acts as a bridge, making data accessible, fostering a data-driven culture, and ensuring data quality. By addressing these foundational challenges, Angles paves the way for a smooth and successful integration of AI within your SAP-driven operations.

Want to learn more about how Angles Enterprise for SAP can help you squeeze more value from your data? Watch our recent webinar “How to Get More Employees to Love SAP.”

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How to Get More Employees to Love SAP

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