How can chatGPT help in the SPM world and Comp Admins?
Recently, We have heard a lot about chatGPT and its usage in the IT world, I was impressed with the possibilities given with that tool.
ChatGPT can help sales performance compensation admins in a number of ways, including:
- Automating repetitive tasks: ChatGPT can automate repetitive tasks such as generating reports, calculating commissions, and sending out notifications. This can free up admins to focus on more strategic tasks.
- Providing insights: ChatGPT can provide insights into sales performance by analyzing data and identifying trends. This can help admins make better decisions about compensation and incentives.
- Improving communication: ChatGPT can help improve communication between admins and sales reps by providing a more personalized and interactive way to interact. This can help to build trust and rapport, which can lead to better performance.
- Tune SQL objects : ChatGPT can tune SQL objects. It is a large language model (LLM) that can be fine-tuned to understand SQL queries and identify potential performance bottlenecks. ChatGPT can also suggest changes to the queries that can improve performance.
- Generate Sample test data for SPM : ChatGPT can generate sample test data for your calculation purpose for your test cases.
Here are some of the pros and cons of using ChatGPT for sales performance compensation:
- Automates repetitive tasks: ChatGPT can automate repetitive tasks, which can save admins time and effort.
- Provides insights: ChatGPT can provide insights into sales performance, which can help admins make better decisions about compensation and incentives.
- Improves communication: ChatGPT can help improve communication between admins and sales reps, which can lead to better performance.
- Can be expensive: ChatGPT can be expensive to implement and maintain.
- May not be accurate: ChatGPT is still under development, so it may not always be accurate.
- May not be able to handle complex tasks: ChatGPT may not be able to handle complex tasks, such as calculating commissions for complex sales scenarios.
Overall, ChatGPT can be a valuable tool for sales performance compensation admins. However, it is important to weigh the pros and cons before deciding whether to implement it.
ChatGPT can help you tune and suggest better SQL. It can do this by:
- Understanding your business needs: ChatGPT can understand your business needs by asking you questions and analyzing your data. This allows it to suggest SQL queries that are more likely to be accurate and efficient.
- Identifying performance bottlenecks: ChatGPT can identify performance bottlenecks in your SQL queries. This allows it to suggest ways to improve the performance of your queries.
- Suggesting alternative queries: ChatGPT can suggest alternative queries that may be more efficient or accurate than your original queries. This allows you to experiment with different queries and find the best one for your needs.
Here are some of the benefits of using ChatGPT to tune and suggest better SQL:
- Improved performance: ChatGPT can help you improve the performance of your SQL queries by identifying and eliminating performance bottlenecks.
- Improved accuracy: ChatGPT can help you improve the accuracy of your SQL queries by suggesting alternative queries that are more likely to be correct.
- Reduced development time: ChatGPT can help you reduce the development time of your SQL queries by suggesting alternative queries that are already optimized.
(Click above image for better view)
Short Demo –
let say I would like to ask some questions to chatGPT on how SAP Commissions features or Admin related common search functionality, as an output we have in this video :
And again, it looks good!
Perhaps the biggest criticism of ChatGPT is that it sometimes gives the wrong answer, yet it is essential for Thoughtspot to deliver an accurate answer when using the technology to query data.
To summarize, chat GPT is a great tool, we can use it to speedup work or even get more inspiration in our SPM world. There’s a one important thing we need to remember when using it, you need to know how to ask right questions and be able to verify the output.
SAP notes that posts about potential uses of generative AI and large language models are merely the individual poster’s ideas and opinions, and do not represent SAP’s official position or future development roadmap. SAP has no legal obligation or other commitment to pursue any course of business, or develop or release any functionality, mentioned in any post or related content on this website.