Veja como você pode priorizar as principais métricas e KPIs para executivos no Data Analytics.

Effectively prioritize metrics and KPIs by aligning them with strategic goals, ensuring relevance and actionability.Focus on predictive value and benchmarking against industry standards. Data visualization should be very clear and succinct in dashboards, allowing executives to quickly, knowledgeably make decisions that show a clear, actionable narrative for the organization.

To prioritize 𝐤𝐞𝐲 𝐦𝐞𝐭𝐫𝐢𝐜𝐬 and 𝐊𝐏𝐈𝐬 for 𝐞𝐱𝐞𝐜𝐮𝐭𝐢𝐯𝐞𝐬 in 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, start by aligning them with the company's 𝐦𝐚𝐢𝐧 𝐠𝐨𝐚𝐥𝐬. This ensures that the metrics are both relevant and useful. Focus on metrics that can predict 𝐟𝐮𝐭𝐮𝐫𝐞 𝐭𝐫𝐞𝐧𝐝𝐬 and compare them to 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 for a clear performance measure. Make sure the 𝐝𝐚𝐭𝐚 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 in 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 is simple and easy to understand, allowing executives to quickly see important information. This helps them make 𝐢𝐧𝐟𝐨𝐫𝐦𝐞𝐝 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 that support the company's objectives and drive success.

My experience as a Finance Controller and as a Data Manager has taught me that a good strategic KPI should: - have a clear definition, understood by the business - be as simple as possible - have a clear & explainable link with a strategic goal - not be volatile, nor affected by external causes - be actionable - 'fractal' (the KPI can be computed at various scales) - be based on data available in a regularly and timely manner

Consider Walmart's CEO, who seeks insights on global sales. While the CFO focuses on financial metrics like revenue and profit margins, the CMO prioritizes marketing KPIs such as customer acquisition cost. Customized dashboards provide actionable insights tailored to each CXO's needs. Visualizations depict sales trends, financial metrics, and marketing performance. Historical data and predictive analytics enable proactive decision-making. With accessibility and regular feedback, Walmart ensures its CXOs have the necessary tools to drive strategic decisions.

🔍 Drive Success: Prioritize Key Metrics and KPIs for Executives in Data Analytics! 📊 Start by aligning metrics and KPIs with your company's strategic goals. 🎯 Focus on data that directly impacts success—like NPS or customer retention rates—to enhance customer satisfaction. 🌟 Provide executives with a clear, relevant, and data-driven narrative that resonates with business objectives. 🚀 #DataAnalytics #StrategicGoals #KPIs #SuccessMetrics #ExecutiveInsights #DataDrivenDecisions 📈🔍

Understand Business Goals: Start by aligning metrics with the company’s strategic objectives. Know what success looks like for your executives. Identify Critical Metrics: Focus on metrics that directly impact business performance, such as revenue growth, customer acquisition cost, and customer lifetime value. Segment KPIs by Department: Tailor KPIs to different departments. Sales might need conversion rates, while marketing focuses on campaign performance. Ensure Data Accuracy: Reliable data builds trust. Regularly validate and clean your data to maintain its integrity. Focus on Actionable Insights: Highlight what the data means and suggest possible actions. Executives need to know not just what is happening, but what to do about it.

Unless your KPI is a direct datapoint from the financial systems, you will need to make assumptions on how your KPI impact the P&L. Make sure those assumptions are validated by somebody in Finance. Be honest when it is difficult to compute the exact impact of your KPI. The KPI might still be relevant & valid .

🔍 Quantify Impact: Prioritize Metrics for Executive Insights in Data Analytics! 💼 Assess the impact of each metric on business outcomes—think revenue, costs, and beyond. 📉 Focus on KPIs like conversion rates or average order value, directly correlating with business performance. 📊 Prioritize actionable insights that drive tangible improvements and boost the bottom line. 🚀 #DataAnalytics #ExecutiveMetrics #BusinessImpact #KPIPrioritization #ActionableInsights #BottomLineBoost 🌟🔍

🔍 Elevate Data Quality: Foundation for Executive Decision-Making in Data Analytics! 🛠️ Prioritize accurate, reliable, and timely data for your metrics and KPIs. ⏰ Trustworthy insights empower executives to make informed decisions. 💡 Implement robust data governance practices to uphold data integrity. 📊 Regularly audit data sources to ensure validity and reliability. 🚀 #DataQuality #ExecutiveInsights #DataGovernance #TrustworthyData #InformedDecisions #DataIntegrity 🌟🔍

Data Quality problems can arise from your data source(s) or from the transformations that have been applied to it in order to compute the KPIs. Automated technical checks on the metadata (e.g. size of files, compleness...) or data profiling (checking for the distribution) can be implemented to detect anomalies. Strong governance is needed around managing the process of computing the KPI (data transformation phase). Be especially careful about enrichment using joins with referentials, as those do change over time. My best advice is to check for anomalies by taking the time to perform a variance analysis: look at the factors that caused the KPI to move (compared to the previous period), and make a few phone calls to check for this.

Prioritize key metrics and KPIs for executives by focusing on those that directly impact strategic goals and business performance. Use easily understandable dashboards and charts to highlight trends, anomalies, and actionable insights. Emphasize metrics related to revenue, customer satisfaction, and operational efficiency. This approach saves time, enables better decisions, and ensures executives can quickly grasp critical data.

🔍 Streamline Reporting: Empower Executives with Clear, Concise Insights in Data Analytics! 📊 Maximize impact by presenting key metrics and KPIs in a user-friendly format. ⏱️ Utilize visual aids like dashboards and charts to highlight trends and anomalies, enabling quick understanding. 📈 Simplified reporting fosters efficient decision-making, even with limited time. 💼 #DataAnalytics #ExecutiveReporting #VisualInsights #EfficientDecisionMaking #SimplifiedAnalytics #DataVisualization 🌟🔍

- Simplified reports streamline decision-making by presenting complex data clearly. - They save time, enhance communication, and increase accessibility. - With easy-to-understand reports, everyone can track progress, align with goals, and take actionable steps. - Simplified reports empower efficient decision-making and drive business success.

This is a great advice. Setting a regular meeting with the executives will enable you to present the KPI, discuss what objectives should be set for each of those, and review the set of metrics that are relevant for steering the business.