AI in Esports
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- March 26, 2021
- AI Tools
WHAT IS THIS FOR?
The Data Due Diligence Scorecard helps you to understand the quality of your data.
Make sure to fill the scorecard entirely to gain a complete overview on your data. This scorecard is a tool for practitioners that have already experience with AI and Machine Learning. Give us a shout if you struggle to ask some of the questions in the form. We are happy to share our views in a 10m call.
STEP-BY-STEP GUIDE
STEP 1 : GATHER DATA
Think about the data you have in your systems (E.g. CRM, log server, google sheet, etc.) and try to get a sample for each data source.
STEP 2: FILL IN THE SCORECARD
Go through each step and try to answer all the questions. Remember that this is an advanced scorecard, so don’t worry if you don’t have all the answers or you are struggling with a question for the moment.
STEP 3: UNDERSTAND WHERE YOU ARE
Count the number of topics for which you have less or equal to 2 answers. The quality of your data is indicated in the table below.
| Score | Data Quality | Recommendation |
|---|---|---|
| 7 → 8 | ???? - poor | create ASAP data collection processes |
| 4 → 6 | ???? - fair | review your data processes |
| 3 → 4 | ???? - good | start experimenting right now |
| 1 → 3 | ???? - great | you are already done with data due diligence |
| 0 → 1 | ???? - excellent | ready to scale up your models ???? |
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