Data Quality Reporting Statistics White Paper 
Alation
MAY 17, 2022
An enterprise data catalog is one such key asset. The Data Analyst Workflow. The workflow of a data analyst consists of four key stages: Discovery. When a businessperson poses a question to an analyst, the analyst starts by trying to find the right data. 7 Steps that Benefit from a Data Catalog. Preparation.
DataKitchen
MAY 10, 2021
An automated process that catches errors early in the process gives the data team the maximum available time to resolve the problem – patch the data, contact data suppliers, and rerun processing steps. We liken this methodology to the statistical process controls advocated by management guru Dr. Edward Deming.
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Jet Global
JULY 11, 2019
One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past.
Jet Global
OCTOBER 1, 2019
One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past.
Alation
JANUARY 25, 2022
In a practical sense, a modern data catalog should capture a broad array of metadata that also serves a broader array of consumers. In concrete terms, that includes metadata for a broad array of asset classes, such as BI reports, business metrics, business terms, domains, functional business processes, and more.
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