Remove Data Quality Remove Data-driven Remove Operational Reporting
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Shifting from keeping the lights on to turning on new lights

CIO Business Intelligence

In practice, it works like an equity index such as the S&P 500, summarizing the holistic performance of the CIO’s operational capabilities (e.g., The customer-driven origins of SQI. FedEx built a SQI to better understand the level of quality being delivered to customers. sectors) for root cause analysis.

Metrics 105
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Unlocking the Power of AI with a Real-Time Data Strategy

CIO Business Intelligence

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

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Enhance Trino Performance With Simba’s Powerful Connectivity

Jet Global

Modern data infrastructure demands tools that scale effortlessly to handle growing volumes and complexity. Its distributed architecture empowers organizations to query massive datasets across databases, data lakes, and cloud platforms with speed and reliability.

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A Guide to the Six Types of Data Quality Dashboards

DataKitchen

A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. However, not all data quality dashboards are created equal.

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What is a Data Pipeline?

Jet Global

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

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How to Bridge the Skills Gap With Automation for JD Edwards

Jet Global

In a survey of 375 Oracle-driven finance leaders , insightsoftware and Hanover Research found skills shortages soared to the number one factor that drives Oracle users to be more efficient, with 92% of Oracle ERP finance teams grappling with skills shortages to some degree. With Hubble, you can: Get up and running quickly.

Finance 52
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What is Data Mapping?

Jet Global

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.