Why has Stats Perform's Opta data feed experienced a 15% drop in accuracy over the past month?

Introduction

The recent 15% drop in accuracy of Stats Perform's Opta data feed is a critical issue that demands immediate attention. This analysis will systematically investigate the root cause, considering both internal and external factors that could be impacting the data feed's performance. We'll follow a structured approach to identify, validate, and address the underlying issues while keeping in mind both short-term fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change in data collection or processing. Has there been any significant update to the Opta data feed system in the past month?

Why it matters: Recent changes could directly impact accuracy. Expected answer: Yes, there was a system update. Impact on approach: If yes, we'd focus on the update's impact; if no, we'd look at other factors.

• Considering the scale of the drop, I'm wondering about the consistency across different sports or events. Is the 15% drop uniform across all data types, or are some areas more affected than others?

Why it matters: Helps identify if the issue is systemic or specific to certain data types. Expected answer: The drop varies across different sports/events. Impact on approach: If varied, we'd investigate the most affected areas first; if uniform, we'd look at broader system issues.

• Given the nature of sports data, I'm curious about any changes in the data collection process. Have there been any modifications to how data is collected from live events in the past month?

Why it matters: Changes in data collection could directly affect accuracy. Expected answer: No changes in data collection methods. Impact on approach: If changes occurred, we'd focus on those; if not, we'd look at processing and output stages.

• Considering potential external factors, I'm thinking about any recent high-profile events or matches. Have there been any unusual or high-stakes events that might have strained the system?

Why it matters: Unusual events could expose system weaknesses. Expected answer: There was a major international tournament. Impact on approach: If yes, we'd investigate how the system handled increased load; if no, we'd focus more on internal factors.