☕ Espresso, Arabica, Robusta and Broken Data: Building Enterprise Analytics with SAS and R
☕ From Bitter Beans to Brilliant Insights: Transforming Global Coffee Data into Analytical Intelligence with SAS and R Introduction:The Business Crisis Nobody Saw Coming A multinational coffee retail company launched an AI recommendation engine to predict customer purchasing behavior across 40 countries. Within weeks, executives noticed strange results. Customers who preferred premium Ethiopian Yirgacheffe coffee were receiving recommendations for instant coffee sachets. Financial dashboards reported negative revenues. Regional sales reports showed "asia", "ASIA", " Apac ", and "APAC" as four different business regions. Duplicate coffee identifiers caused inventory inflation. Malformed supplier emails prevented procurement alerts from being delivered. Some roasting dates were recorded as 2045 while others appeared as 1920. The AI system classified several luxury coffee brands as unknown categories simply because one dataset co...