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Data Prep for AI: Get Your Oracle House in Order

Jet Global

These tools excel at data integration, consolidating information from various financial systems (ERP, CRM, legacy) into a central hub. This eliminates data fragmentation, a major obstacle for AI. Additionally, they provide robust data transformation capabilities.

Finance 52
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Unified Data Clears the Roadblocks of Your Hybrid Cloud Journey

Jet Global

It streamlines data integration, ensures real-time access to accurate information, enhances collaboration, and provides the flexibility needed to adapt to evolving ERP systems and business requirements. Data transformation ensures that the data aligns with the requirements of the new cloud ERP system.

Finance 52
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3 Ways Logi Symphony Leverages AI for Actionable Insights

Jet Global

This approach allows you and your customers to harness the full potential of your data, transforming it into interactive, AI-driven conversations that can significantly enhance user engagement and insight discovery. Check out our on-demand webinar on empowering predictive analytics through embedded business intelligence.

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Discover Efficient Data Extraction Through Replication With Angles Enterprise for Oracle

Jet Global

When extracting your financial and operational reporting data from a cloud ERP, your enterprise organization needs accurate, cost-efficient, user-friendly insights into that data. While real-time extraction is historically faster, your team needs the reliability of the replication process for your cloud data extraction.

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Generate More Value From SAP Data With a Real-Time Close

Jet Global

Speed time to market with faster data migration, easier data transformation. Wands for SAP Wands for SAP empowers your finance team to leverage their existing Excel skills to streamline data entry to drive efficiencies in your month-end process. Time-to-value acceleration — Quick installation.

Finance 52
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What Is Embedded Analytics?

Jet Global

Strategic Objective Create a complete, user-friendly view of the data by preparing it for analysis. Requirement Multi-Source Data Blending Data from multiple sources is compiled and the output is a single view, metric, or visualization. Data Transformation and Enrichment Data can be enriched for analysis.