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yogi1
yogi1
5 ré ·Traduire

Website: https://dataplatr.com/blog/sig....ma-data-model?utm_so

Driving Business Impact with the Sigma Data Model

See how the Sigma Data Model simplifies data use, helping businesses make better choices, improve outcomes, and drive long-term success.In modern data-driven organizations, the biggest challenge is not just storing or processing data but making it accessible and simple for business users. Executives and managers want tools that are user-friendly, intuitive, and easy to drill down into for deeper insights with just a few clicks, without relying on technical teams

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6 ré ·Traduire

Website: https://dataplatr.com/blog/sel....f-healing-data-pipel

The Self Healing Data Pipeline: Ensuring Financial Data Integrity for AI

Finance digital transformation is often focused on the exciting outcomes: predictive forecasting, fraud detection, and conversational AI. However, the success of any advanced AI capability rests entirely on the quality of its input data. For subscription businesses, financial data is often fragmented, plagued by inconsistent formats, non-standard headers, and unexpected null values from disparate source systems like ERPs and legacy reporting tools.

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yogi1  Nouvel événement créé
3 w

Nov 18

AI-Powered Procure-to-Pay & Financial Analytics

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3 w ·Traduire

Website: https://dataplatr.com/blog/sig....ma-version-tagging?u

Sigma Version Tagging for Efficient Dashboard Management

In analytics and BI environments, workbooks or dashboards often go through multiple stages of development, review, testing, and production. Without version control, promoting changes can risk breaking dashboards for end users or cause confusion as different stakeholders see different states of the workbook.

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4 w ·Traduire

website: https://dataplatr.com/blog/elt....-automation?utm_sour

ELT Automation: Medallion Architecture with Agentic AI & Automatic Data Governance

In today's fast-paced, data-driven world, getting clean, reliable data into the hands of business users is a critical challenge. The traditional Extract, Load, Transform (ELT) process, while effective, can be slow and resource-intensive, often becoming a bottleneck that prevents organisations from moving at the speed of business

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