When developing a data-driven business strategy, choose data points that align closely with your key objectives and goals. Start by identifying the specific questions you need to answer or problems you aim to solve. Focus on metrics that impact performance, such as customer satisfaction, sales trends, and operational efficiency. Ensure the data is relevant, reliable, and actionable. Collaborate with stakeholders to prioritize which data points will provide the most insight and value, and be prepared to adjust your focus as new information becomes available.

Para elegir los puntos de datos clave, primero define tus objetivos estratégicos. ?Qué quieres lograr? Luego, identifica los datos que directamente impactan esos objetivos, como comportamiento del cliente y tendencias del mercado. ?No te pierdas en el mar de datos, enfócate en lo que realmente importa! Además, prioriza la calidad sobre la cantidad. Datos precisos y relevantes te darán insights más valiosos. Usa herramientas de análisis para filtrar y visualizar la información. ?Así, tomarás decisiones informadas y llevarás tu estrategia al siguiente nivel! ??

I remember below from a podcast from aprofessional. 5 Cs in Data Strategy: 1. Customers: Who's buying? 2. Cash: What's selling? 3. Competitors: Who's winning? 4. Change: What's trending? 5. Challenges: What's blocking? Focus on these five areas to drive your business decisions with data that matters.

To develop a data-driven business strategy, I prioritize data points that align with strategic goals and drive measurable impact. First, I identify key performance indicators (KPIs) such as process efficiency, cost savings, and customer satisfaction. For example, in a Robotic Process Automation (RPA) implementation, I would focus on metrics like cycle time reduction (e.g., a 30% decrease in processing time), error rates (e.g., reducing errors by 50%), and employee productivity gains (e.g., reallocating 20% of time to higher-value tasks). By filtering data through the lens of business objectives and using historical performance as a baseline, I ensure that we concentrate on metrics that drive real change.

Prioritize data points that align directly with your business objectives and key performance indicators (KPIs). 1.Focus on data that provides actionable insights, such as customer behavior, market trends, and operational efficiency. 2.Ensure the data is reliable, accurate, and updated frequently to reflect real-time scenarios. Leverage predictive analytics and AI tools to identify emerging patterns and opportunities. 3.Maintain a balance between internal data (e.g., sales, costs) and external data (e.g., market trends) along with competitors approach to build a comprehensive strategy.