Immediately deploy the most advanced data processing and analytics tools available to handle the data's volume, velocity, and variety without initial assessment.

Focus solely on designing a data pipeline for real-time data ingestion and analysis, postponing data quality assessment and KPI identification.

First, identify the key performance indicators (KPIs) relevant to the production process and determine which data sources can provide insights into these KPIs, ensuring the solution is aligned with business objectives.

Begin by assessing the data quality and completeness of all available data sources to ensure the analytics will be based on accurate and reliable data.

All of the above