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- Callum Staff, Marks & Spencer: On the need to fail fast, machine learning models and universal data quality challengesCallum Staff, the lead data scientist at Marks & Spencer (M&S), highlights the transformative impact of innovative technologies on the retail industry. Comparing themselves with giants like Amazon and Ocado, M&S stands on the brink of technological evolution fueled by data science. Staff, who joined M&S after a stint in the civil service, is deeply involved in managerial tasks...0 Kommentare 0 Anteile 250 Ansichten
- Enhancing Data Governance and Lineage for Quality and ComplianceData 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...0 Kommentare 0 Anteile 8120 Ansichten
- Focus on Data Quality and Data Lineage for improved trust and reliabilityAs 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...0 Kommentare 0 Anteile 6480 Ansichten
- Improving Reliability and Trust through Data Quality and LineageIn 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...0 Kommentare 0 Anteile 5471 Ansichten
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