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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

Data Pine

The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. Did you know?

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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.

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insightsoftware Expands Embedded Analytics Offering with Acquisition of Dundas?

Insight Software

. – August 11, 2022 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced it has acquired Dundas Data Visualization, Inc. , a Toronto-based business intelligence (BI), analytics, and data visualization platform. About Dundas Data Visualization.

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insightsoftware Acquires Vizlib, Extending Write-Back to Qlik Users

Insight Software

It also complements insightsoftware’s previous acquisition of Power ON , and extends write-back : the ability to update source data in enterprise databases directly onto the Qlik platform. About Vizlib Established in 2016, Vizlib strives to provide a best-in-class data visualization and data analytics experience for business users.

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15 Supply Chain Metrics & KPIs You Need For A Successful Business

Data Pine

It’s the supply chains that are competing.” The supply chain is essentially the backbone of any business: a living ecosystem that ensures the smooth, efficient, and consistent delivery of a product or service from a supplier to a customer. What Are Supply Chain Metrics? Cash-to-cash Time Cycle.

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Big Data Skill sets that Software Developers will Need in 2020

Smart Data Collective

That, along with data mining can help if the developer wants to work with supply chains, for example. These can help a developer find a career in the data science field. Software developers will also want to take classes in data visualization and data mining. Machine Learning. Apache Spark.

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A Beginner’s Guide To Inventory Metrics And Best Practices

Data Pine

Don’t forget your customers: What is complex and should not be overlooked in inventory management, is that operational, supply-chain related metrics and customer satisfaction metrics are involved. If you spot inefficiencies in your supply chain, it will affect your inventory, and, consequently, the overall business.