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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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Future of Power BI | Is it worth learning?

The BAWorld

Operations and Supply Chain – Power BI makes supply chain management much easier with ingestion of insights for inventory, supplier performance, and logistics. Operation teams rely on real-time data to optimize the process of production and remove bottlenecks. Entry-Level (0–2 Years): Salary Range: ₹3.5

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What are machine learning and data science in the context of business analytics?

Analysts Corner

Data scientists use a variety of techniques and tools to collect, analyze, and interpret data, and communicate their findings to stakeholders. Data science involves several steps, including data collection, data cleaning, data exploration, data modeling, and data visualization.