Remove Data Quality Remove Forecasting 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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Why Finance Teams are Struggling with Efficiency in 2023

Jet Global

And on the other, internal pressures like the need for more frequent, accurate forecasting force CFOs to re-evaluate their existing tools and processes. External market challenges including economic disruption, skills shortages, and rising interest rates, are squeezing efficiency from one side.

Finance 52
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How to Bridge the Skills Gap With Automation for JD Edwards

Jet Global

Finance decision makers should seize every opportunity to automate processes when possible, freeing up resources for deeper analysis and strategic planning and forecasting.

Finance 52
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Enhance Trino Performance With Simba’s Powerful Connectivity

Jet Global

Preventing Data Swamps: Best Practices for Clean Data Preventing data swamps is crucial to preserving the value and usability of data lakes, as unmanaged data can quickly become chaotic and undermine decision-making.

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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 a Data Pipeline?

Jet Global

ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting. This high-quality data is then loaded into a centralized data repository for reporting and analysis.

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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.