Introduction
To enhance Stats Perform's Opta data feed for more real-time insights in in-game betting, we need to focus on improving the speed, accuracy, and relevance of the data provided. I'll outline a strategic approach to address this challenge, considering user needs, technical capabilities, and market dynamics.
Step 1
Clarifying Questions
Why it matters: Determines the baseline for improvement and helps identify technical constraints. Expected answer: Current latency is around 5-10 seconds. Impact on approach: Would focus on reducing latency if it's high, or on enhancing data quality if it's already low.
Why it matters: Helps prioritize which data points to focus on for real-time improvements. Expected answer: Top bets include next goal scorer, next corner, and half-time result. Impact on approach: Would tailor data improvements to support these popular bet types.
Why it matters: Identifies areas where we need to catch up or where we can differentiate. Expected answer: We're on par with most competitors but lagging behind in certain niche sports. Impact on approach: Would focus on improving areas where we're behind and innovating in our strong areas.
Why it matters: Ensures our product improvements align with broader company goals. Expected answer: Increase market share in the in-game betting sector and improve customer retention. Impact on approach: Would focus on features that drive user engagement and retention.
Let's take a brief moment to organize our thoughts before moving on to the next step.
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