In order to collect and analyze IR metrics, you need to define objectives, data sources, methods, and tools. Additionally, you must ensure the quality, accuracy, and consistency of the data. To do this, you should first determine your objectives: what are you trying to measure and why? What are your key performance indicators (KPIs) and key risk indicators (KRIs)? How do they relate to your IR plan and policy? Then, identify data sources: where will you get your data from? How will you access, store, and secure it? How often will you update it? After that, decide on methods: how will you calculate, aggregate, and normalize your data? What formulas, algorithms, and models will you use? How will you handle outliers, anomalies, and missing values? Finally, select tools: what tools will you use to collect, analyze, and visualize your data? How will you integrate them with your existing systems and platforms? How will you automate and streamline your data collection and analysis processes? It is also important to validate and verify the data: how will you ensure the quality, accuracy, and consistency of your data? How will you check for errors, biases, and discrepancies? How will you audit and review your data collection and analysis processes?