Unleashed
APRIL 18, 2024
Just-in-time (JIT) manufacturing is a production management approach that helps you lift efficiency and streamline your operational processes. What is just-in-time manufacturing? The just-in-time approach contrasts with just-in-case strategies, where producers hold sufficient inventories to absorb maximum market demand.
ThroughPut
JANUARY 2, 2024
The Just-In-Time inventory management approach revolutionized manufacturing forever. What is Just-In-Time (JIT) Inventory Management? Its central mission is to curtail inventory expenses and amplify operational efficiency by timing the receipt of goods to coincide with their actual need in the manufacturing cycle.
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Logistics Viewpoints
JANUARY 11, 2024
Let’s just come right out and say it – without the ability to capture, aggregate, and understand your supply chain data, you have gray area within your organization. The data locked in black boxes across your operating network causes you, and your network, to operate ineffectually. Your “story” is in your data.
Enterra Insights
JANUARY 25, 2024
Data privacy is a big deal. We sit on the cusp of a new business era driven by artificial intelligence (AI); however, without data AI doesn’t work. That’s why there is a growing tension between data availability and data protection. Two years later, Data Privacy Day was observed in the United States.
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
Logistics Viewpoints
DECEMBER 7, 2022
The biggest challenge in the transport sector today: there just aren’t enough drivers. This is where big data technologies come into play. Big data for real-time optimizations in transport logistics. Logistics and transport service providers create enormous data records as they manage the flow of goods.
Logistics Viewpoints
JANUARY 16, 2023
Matt Elenjickal, the Founder and Chief Executive Officer of FourKites, has pointed out that “data is the raw fuel of a digital transformation.” But it must be quality data! When enterprise implementations take longer than expected, almost all do, the amount of time needed to clean up the data is often the leading factor.
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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Recruitment AI technology uncovers the most qualified candidates. This technology automates recruiting routines and facilitates natural conversations, resulting in higher productivity and a better candidate experience. Download the eBook to learn more!
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Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
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It's quite a process for marketing teams to develop a long-term data management strategy. It involves finding a data management provider that can append contacts with correct information — in real-time. Not just that, but also ongoing data hygiene efforts to keep the incoming (and existing) information fresh.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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Today’s question becomes: How do you leverage data to automate and optimize across the full order lifecycle? It’s a supply chain execution technology that recognizes companies today operate as multi-party ecosystems, and that transport management activities are just one component of high-functioning supply chains.
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Research shows that the hiring process is biased and unfair. While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology. This eBook covers these issues & shows you how AI can ensure workplace diversity.
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