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Martechcube John bir dosya eklendi Other
2024-06-25 07:13:05 -

Boosting IT AI Performance Through Data Quality Improvement
Whether you’re choosing a restaurant or deciding where to live, data lets you make better decisions in your everyday life. If you want to buy a new TV, for example, you might spend hours looking up ratings, reading expert reviews, scouring blogs and social media, researching the warranties and return policies of different stores and brands, and learning about different types of...

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Martechcube John bir dosya eklendi Other
2024-08-02 06:43:06 -

Enhancing Data Governance and Lineage for Quality and Compliance
Data veracity and quality are equally essential in the current world that is characterized by unbounded data generation and utilization. Analyzing the information being used in the operations of companies today, it is apparent that businesses have developed a high dependence on data, hence the need to make it accurate and reliable. Two ideas central to this effort are data governance and...

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Martechcube John bir dosya eklendi Other
2024-08-23 08:46:32 -

Focus on Data Quality and Data Lineage for improved trust and reliability
As organizations continue doubling their reliance on data, the question of having credible data becomes more and more important. However, with the increase in volume and variety of the data, high quality and keeping track of where the data is coming from and how it is being transformed become essential for building credibility with the data. This blog is about data quality and data lineage and...

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Martechcube John bir dosya eklendi Other
2024-09-06 07:03:15 -

Improving Reliability and Trust through Data Quality and Lineage
In an era where data is heralded as the new oil, there’s an inconvenient truth that many organizations are just beginning to confront: it is therefore important to realize that not all data is equal. With the increasing digitalization of the economy and an imperative to increasingly rely on data in products and services, the focus has been traditionally on the sheer amount of data that...

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