The Walt Disney Company started piloting wristbands that allow resort guests to unlock their hotel rooms, pay for meals,enter the theme parks, obtain passes to attractions and rides; generating huge amounts of data Structure data collection and analysis around strategic goals Define the metrics and analysis Establish baselines and benchmarks to measure success Maintain a library of baseline, benchmark and outcome metrics to improve service As data awareness grows,data tools are integrated across various departments Teams become over enthusiastic about tracking every possible data point, leading to metrics overload Starting with a simple set of metrics helps gain momentum Engage with the team and educate them

When I face data overload, I find it crucial to prioritize key insights and filter out irrelevant information to stay focused. Visualizing the data helps me quickly spot patterns, while using automated tools saves time in the analysis. I prefer breaking data into manageable segments and using techniques like PCA to simplify variables. Processing data in smaller batches and collaborating with others keeps everything efficient and ensures nothing gets overwhelming.

Here's how I'd navigate a sea of data for effective decision-making based on my experience in strategy and operations: 1. Clarify the goal. Understand exactly what decision needs to be made. This helps you filter out irrelevant data and focus on what matters. 2. Map the present. Prioritize data points that give you a clear picture of the current situation. You need to know where you're starting from. 3. Look to the future. Focus on data that provides insights for the decision at hand. It's about finding the information that'll help you predict outcomes. In short, it's about knowing your destination, understanding your starting point, and choosing the right data to guide your journey. Hope this helps!

AI and machine learning can analyze the patterns and provide crucial datapoints. However, a basic understanding of the data structure and concepts is required to derive meaningful interpretations of those patterns & datapoints. Only then can someone translate it in to different options available on the table and create an effective execution strategy.

Focus on key metrics that align with your strategic goals and key performance indicators (KPIs), such as trends, customer insights, and financial metrics. Prioritize data that provides actionable insights and is of high quality and reliability. Ensure a contextual understanding of the data and involve key stakeholders in the evaluation process for diverse perspectives. Utilize data visualization tools to identify patterns and facilitate communication. Implement an iterative review process to adapt to changing business environments & include risk assessment data to create a comprehensive decision-making strategy. By concentrating on these critical factors, you can make informed decisions that drive your organization's success. #ahmedalaali11