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New Technologies To Look Out For at SAP Sapphire Barcelona 2023

Timo Elliott

“We all know that to get to a low-carbon future, you need end-to-end transparency and visibility across the entire supply chain,” Thomas said. Surfing through the supply chain The launch of SAP Business Network for Industries at SAP Sapphire is also a key part of the company’s strategy.

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Advanced Analytics in Supply Chain Management

Inflexion Analytics

How COVID has impacted the supply chain The resilience of supply chains is being tested. The visualisations include inventory levels of components, spare parts at supply chain storage locations and depots. Trends such as climate change seem to be increasing the rate at which disruptive events occur.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Also, timely insights into inventory will help to improve supply chain decisions. The strategic decision-making in the future of business intelligence will be shaped by faster reports, deeper data insights, broader areas of data collection. Help with Strategic Decision-Making. SAP Lumira.

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Leveraging Data Analytics and Automation to Create Durable, Agile Supply Chains

Insight Software

Managing the supply chain for a multinational corporation presents new challenges each week as our world continues to evolve and become more interconnected through technological advancements. And that’s where data, analytics, and automation tools come in.

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Supply Chain Resilience and How Visualisation Tools Can Be Beneficial

Inflexion Analytics

How supply chain resilience is used in businesses. The resilience of supply chains has been tested in recent years by some catastrophic events and by political disruption to trade flows. The visualisations include data such as inventory levels of components and spare parts at supply chain storage locations and depots.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

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What’s Behind Master Data Management and Why Does It Matter?

Domo

It then distributes this unified data throughout the enterprise, ensuring everyone, from marketing to supply chain, works with the same reliable information. Supported by data governance policies and technologies like data modeling, MDM keeps this information trustworthy over time.