Build an Employee-driven Data Quality Culture
When employees consistently produce excellent quality information, they reduce the need for extensive data cleaning and pre-processing. This enables better analytics and AI applications.
60-80% of an organization's information and data are internally generated
Internal data sources:
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Direct data entry (forms, reports, documentation)
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Communications (emails, messages, internal docs)
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Process documentation
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Customer interaction records
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Financial data and transactions
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Project management information
External data sources:
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Automated systems
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External sources (market data, third-party analytics)
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Customer interactions through self-service platforms
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IoT devices and sensors
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Partner organizations
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Public data sources
However, true AI readiness is more than just high-quality operational data.
It requires integrating different data contexts, ensuring data governance, and addressing gaps in the data collection process.