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Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextualdata, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.
Without the right metadata and documentation, data consumers overlook valuable datasets relevant to their use case or spend more time going back and forth with data producers to understand the data and its relevance for their use case—or worse, misuse the data for a purpose it was not intended for.
Those who work in the field of data science are known as data scientists. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets.
The Markets and Markets’ Procurement Analytics market study provides a snapshot of key competition, past market trends with forecast over the next 5 years, anticipated growth rates, and the principal factors driving and impacting growth. during the forecast period. billion in 2018 to USD 4.1 Awards & Recognition News & Updates.
Knowledge assembly in action To better understand why organizations fall short when assembling knowledge, we must first understand how knowledge assembly unfolds, starting with some basic concepts: Data are raw, unorganized facts, such as numbers, text, and images, that lack context and meaning on their own.
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