Remove 2018 Remove Data Quality Remove Data Silos
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Data Integrity: The Foundation for Trustworthy AI/ML Outcomes and Confident Business Decisions

ODSC - Open Data Science

As critical data flows across an organization from various business applications, data silos become a big issue. The data silos, missing data, and errors make data management tedious and time-consuming, and they’re barriers to ensuring the accuracy and consistency of your data before it is usable by AI/ML.

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Lack of Data Integrity in Financial Institutions: How Much Is It Really Costing You?

Precisely

Data Integrity checks and best practices support data management as both strategic and tactical processes that enable companies to improve compliance, reduce costs, transform their customer relationships, and stay on the leading edge of innovation. This post examines the practical implications of poor data integrity.

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A CDO’s Guide to the Data Catalog

Alation

Two decades on, the role has expanded to include responsibility for analytics, and even data monetization. Between 2010 and 2018 the number of CDOs present in Fortune 1500 companies increased nearly 8-fold. Today, the modern CDO drives the data strategy for the entire organization. Reducing Data Silos.

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A Guide to Data Analytics in the Travel Industry

Alation

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry?