Sold by: Vivanti Consulting
Data Quality & Standardization is a focused, hands-on session designed to identify and classify the data inconsistencies, gaps, and errors that hinder effective analytics, AI initiatives, and business decision-making.
Overview
Data Quality & Standardization is a focused, hands-on session designed to identify and classify the data inconsistencies, gaps, and errors that hinder effective analytics, AI initiatives, and business decision-making. This helps teams diagnose quality issues across key datasets, evaluate current data entry and transformation practices, and co-develop a strategy for standardization, validation, and ongoing quality monitoring.
Participants will examine how inconsistent formats, duplicates, nulls, legacy data structures, and poor data hygiene affect downstream outcomes. Through guided exercises, we’ll prioritize high-impact data elements, define quality rules, and build alignment on data standards. By the end of the session, your organization will have a practical plan to increase trust in data assets—and enable reliable analytics, machine learning models, and automation.
WORKSHOP TOPICS Current State of Data Quality High-Value Data & Business Impact Standardization Practices & Data Rules Tools, Processes & Ownership
Highlights
- Let our experts help your team become experts
- Identify gaps or create your data strategy
- Use your data to gain a competitive advantage and increase customer satisfaction
Details
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Delivery method
Deployed on AWS
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We’re available to support your data needs! https://www.vivanti.com/
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