The Data Hierarchy of Needs is a framework that outlines the stages required to effectively use data in organizations. It resembles Maslow’s hierarchy, progressing from basic data needs to advanced capabilities:
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Data Collection: (bottom) Start by collecting raw data from various sources, ensuring it’s stored securely and reliably.
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Data Storage and Access:
Organize and store data so it’s easily accessible for those who need it, using databases or data warehouses. -
Data Cleaning and Preparation:
Clean, preprocess, and transform data to ensure it’s accurate, consistent, and ready for analysis. -
Data Analytics:
Analyze the prepared data to generate insights, identify patterns, and create reports. -
Data-Driven Decision Making:
Use the insights from data analytics to inform and improve decision-making across the organization. -
Advanced Data Capabilities (AI/ML): (top) Once the foundation is in place, apply advanced techniques like machine learning and artificial intelligence for predictive and prescriptive insights.