Remove Data Governance Remove Data Quality Remove Operational Reporting
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How HPE Aruba Supply Chain optimized cost and performance by migrating to an AWS modern data architecture

AWS Big Data

The application supports custom workflows to allow demand and supply planning teams to collaborate, plan, source, and fulfill customer orders, then track fulfillment metrics via persona-based operational and management reports and dashboards. The final validated CSV files are loaded into the temp raw zone S3 folder.

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The Art of Lean Governance: Go Lean and Stop Burning Cash

TDAN

This approach is all about saving money by eliminating waste across your data factory. The data factory represents all activities related to the creation, processing, storage, and usage of data for operations, reporting, analysis, marketing, and a myriad of other business activities. The […].

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A Guide to the Six Types of Data Quality Dashboards

DataKitchen

A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. However, not all data quality dashboards are created equal. The issue lies in the abstraction of these dimensions.

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How to Bridge the Skills Gap With Automation for JD Edwards

Jet Global

This trend, coupled with evolving work patterns like remote work and the gig economy, has significantly impacted traditional talent acquisition and retention strategies, making it increasingly challenging to find and retain qualified finance talent.

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Are You in Control of Your JDE or EBS Data?

Jet Global

If your finance team is using JD Edwards (JDE) and Oracle E-Business Suite (EBS), it’s like they rely on well-maintained and accurate master data to drive meaningful insights through reporting. For these teams, data quality is critical. Inaccurate or inconsistent data leads to flawed insights and decisions.

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What is Data Mapping?

Jet Global

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

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How to Prepare Your SAP Data for AI

Jet Global

AI can also be used for master data management by finding master data, onboarding it, finding anomalies, automating master data modeling, and improving data governance efficiency. From Chaos to Control: Navigating Your Supply Chain With Actionable Insights Download Now Is Your Data AI-Ready?