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Leveraging AI and Workflow Automation in Manufacturing

Argon Digital

Process Optimization : AI can analyze production data to identify inefficiencies, allowing manufacturers to optimize workflows and maximize resource utilization. Adverity Best for: Data analytics What it does: Centralizes all marketing data from various sources, including campaigns across all channels, where it can be easily analyzed.

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Get the Most Out of Your Oracle Cloud Investment

Insight Software

Finance teams who struggle to meet the demand for recurring operational reports are increasingly adopting Oracle ERP Cloud for ease of access to real-time data. Our rich visualizations, including tabular and pivot reporting, are ideal for presenting financial and operational reporting data.

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Use Angles for SAP to Measure, Analyze and Improve Your OTIF 

Insight Software

Alignment between customer service, logistics, sourcing/procurement, fulfillment, and planning is important but complex because of siloed departments and teams. Have a plan for continuous improvement of your customers’ satisfaction levels? Utilize SAP Data for Faster and More Accurate Forecasting.

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Ditch Manual Data Entry in Favor of Value-Added Analysis with CXO

Insight Software

The best-of-breed philosophy has won out, as smaller, more focused vendors have set out to solve specific business problems. Many organizations are running separate enterprise resource planning (ERP) and customer relationship management (CRM) systems, for example. CXO Software is a finance-driven solution.

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Struggling with Inefficient Processes? Process Mining Can Help

Insight Software

This clarity allows leaders to make a cohesive plan to make meaningful improvement. 61% of organization leaders plan to implement process mining within the next year. Angles delivers self-service operational reporting built on context-rich, process-aware data models that were designed to answer your most pressing business questions.

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3 Ways Finance Can Help Navigate Supply Chain Disruptions

Insight Software

Sub-par customer service. A simple example of this would be that Sales holds data around which products sell fastest and trends in customer buying behavior. If they keep this data siloed, then Procurement and Finance would not know to order more units or build that capacity in future budgets. Inefficiency.