Data Analytics Digital IBM Support Procurement 
Argon Digital
JULY 21, 2023
Some of the commonly used AI platforms include: IBM Watson : IBM’s AI platform offers advanced analytics and machine learning capabilities, empowering manufacturers to make data-driven decisions and optimize their processes. They can automate data collection, equipment monitoring, and predictive maintenance.
Insight Software
MAY 24, 2023
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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Insight Software
JANUARY 13, 2023
Alignment between customer service, logistics, sourcing/procurement, fulfillment, and planning is important but complex because of siloed departments and teams. A true OTIF can be elusive, especially when unknown factors are lurking in your data. Utilize SAP Data for Faster and More Accurate Forecasting.
Insight Software
MAY 24, 2022
The best-of-breed philosophy has won out, as smaller, more focused vendors have set out to solve specific business problems. They may be operating one or more distinct products that focus on digital marketing automation. This diversity can be a very good thing insofar as it supports departments in functioning as they see fit.
Insight Software
APRIL 3, 2023
When working in ERP systems, every step you take leaves a digital footprint. Process mining generates an event log of this data and evaluates the path you’ve taken to identify inefficiencies and help you fix them. Angles goes beyond the basics, like procure-to-pay or order-to-cash templates. Why process mining?
Insight Software
OCTOBER 14, 2022
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.
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