Webinar

Virtual Roundtable: Future-Proofing your SAP Analytics Environment

Thursday 16th September 2021 - 10:00am - 11:00am

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How to leverage all your data investments-not just your SAP data-to prepare for what is next!

Data lies at the heart of every decision. Business users need data at every turn. They need analytics to help them understand it. While organisations have lots of data in SAP and other places, are their analytics preparing them for what is next, whatever next may be?

AI and ML is often talked about as ‘next’. But there are very real hurdles to the adoption of advanced analytics technologies, especially at organizations with sizable data investments in SAP and tricky business challenges. In the process of adopting AI, technology leaders must ask themselves:

  • Are we making sure the AI Cart doesn't sit in front of the Data Horse -is there a roadmap for integrating long-term AI initiatives?
  • When it comes to AI and ML initiatives, are we building capabilities progressively to ensure your business users aren't left behind?

Simply put, many organizations lack the data governance controls for many AI and ML projects to make it past the experimental stage, or have the proper systems and processes in place to give everyday users the ability to collaborate with more advanced users.

How do we attack challenges in both the near and long-term? How can we gradually integrate advanced analytics into traditional analytics workflows, providing business users with the data they need, wherever it's kept?

To ensure everyone gets a chance to speak we are limiting the attendance to 15 people.

Please bring your challenges along with thoughts around the above topics and come prepared with an answer to some or all the following questions?

  • What challenges need to be addressed before your organisation can effectively leverage AI?
  • What does extracting value from AI look like?
  • What are the biggest issues that your teams face when it comes to validating data?
  • How can you empower your teams to self-serve and not rely on data science teams?
  • How does this impact your SAP road map?

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