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We suspected that dataquality was a topic brimming with interest. The responses show a surfeit of concerns around dataquality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with dataquality. Dataquality might get worse before it gets better.
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Data Observability and DataQuality Testing Certification Series We are excited to invite you to a free four-part webinar series that will elevate your understanding and skills in Data Observation and DataQuality Testing. Slides and recordings will be provided.
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Structuring the digital strategy In recent years, Soltour has launched its own digital transformation plan to consolidate its position as a tech adoption leader among tour operations. We train and equip our teams with the necessary tools to integrate technology into their daily work, fostering constant and natural innovation.
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This post explores how the shift to a data product mindset is being implemented, the challenges faced, and the early wins that are shaping the future of data management in the Institutional Division. This principle makes sure data accountability remains close to the source, fostering higher dataquality and relevance.
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RightData – A self-service suite of applications that help you achieve DataQuality Assurance, Data Integrity Audit and Continuous DataQuality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks.
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As someone deeply involved in shaping datastrategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.
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Enhancing the recruitment process with HR analytics tools can bring dynamic data under the umbrella of BI reporting, making feedbacks, interviews, applicants’ experience and staffing analysis easier to process and derive solutions. Utilization of real-time and historical data. Enhanced dataquality. click to enlarge**.
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Dovico just hit the 90-day mark in her CIO role at Beyond Bank, so she’s still in the listening phase while new a new executive team and business strategies are launched and formalized across the broader organization. “So even with leveraging emerging tech, you need to think about your business model congruence.”
Prioritize dataquality and security. For AI models to succeed, they must be fed high-qualitydata thats accurate, up-to-date, secure, and complies with privacy regulations such as the Colorado Privacy Act, California Consumer Privacy Act, or General Data Protection Regulation (GDPR).
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