5 Barriers to Actionable Industrial Data in Manufacturing

Data Overload

Industrial systems generate massive volumes of data that overwhelm traditional storage and processing capabilities.

Use time series databases for high-volume, high-speed ingestion

Legacy batch processing systems create delays in data availability, preventing immediate decision-making.

Replace legacy batch systems with streaming architectures

Isolated data systems prevent comprehensive analysis and create barriers to cross-functional insights.

Standardize with open formats like Apache Arrow & Parquet

Inconsistent, incomplete, or inaccurate data undermines analysis reliability and decision confidence.

Enforce structured, time-stamped formats for alignment

Reactive approaches to data analysis miss opportunities for proactive optimization and risk mitigation.

Combine real-time and historical data for smarter forecasting

Learn how leading industrial companies are overcoming these barriers and turning data into competitive advantage.

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