Cloudera

JANUARY 30, 2024

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 contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

AWS Big Data

APRIL 2, 2024

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.

Metadata 111

Metadata Metrics Data-driven Contextual Data 111

IBM Big Data Hub

SEPTEMBER 19, 2023

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.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

bridgei2i

APRIL 30, 2019

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.

Marketing 40

Marketing Reporting Contextual Data Analytics 40

CIO Business Intelligence

MAY 20, 2024

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.

Management 122

Management Interactive Measurement Marketing 122

CIO Business Intelligence

MAY 6, 2025

Ive seen clients use predictive models to forecast sales pipeline health, identify fraud risk in real-time, or assess which patients are most likely to be readmitted post-discharge. This is where we blend optimization engines, business rules, AI and contextual data to recommend or automate the best possible action.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78