Analytics Strategy

Data Analytics for Decision Makers Analytics can feel complex, but decision makers benefit from a practical approach. This article focuses on quick wins, reliable data, and clear questions that drive action. Start with what matters to your goals and grow from there, one step at a time. Start with a clear goal Define the decision you want to support (pricing, customer risk, or resource plans) Set a time frame (weekly or monthly) Decide who will use the results Collect the right data Gather data that ties directly to the goal. Prioritize freshness, accuracy, and completeness. If data is weak, document limits and adjust the question. ...

Data Analytics for Business Intelligence Data analytics helps turn raw numbers into clear business insights. In business intelligence, we use analytics to summarize what happened, why it happened, and what might come next. Descriptive analytics describes past performance, diagnostic explains causes, predictive looks at future trends, and prescriptive suggests actions. Together, these levels help managers decide where to invest time and money. Data readiness matters. Reliable BI starts with clean data from reliable sources. Common sources include ERP, CRM, marketing platforms, and supply-chain systems. External data like market trends can add context. Along the way, establish data quality rules, resolve duplicates, and document data lineage so teams trust dashboards and reports. ...