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

datapine

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. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. Did you know?

Big Data 275
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13 Analytics & Business Intelligence Examples Illustrating The Value of BI

datapine

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. billion , growing at a CAGR of 26.98% from 2016.

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Your Ultimate Guide To Modern KPI Reports In The Digital Age – Examples & Templates

datapine

These reports are interactive, dynamic, and tailored to the individual user, department, or organization depending on their operational needs, strategies, aims, goals, and objectives. Also, explore our guide to KPI management and learn from a host of helpful best practices. 3) Consider your data sources. click to enlarge**.

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Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

Sisense

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. This was the key learning from the Sisense event heralding the launch of Periscope Data in Tel Aviv, Israel — the beating heart of the startup nation. What VCs want from startups.

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Customizing Personal Lines Insurance with Location Data

Cloudera

I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon customer opt-in. I recently attended one of Majesco’s excellent webinars hosted by Denise Garth, Chief Strategy Officer.

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Buy Your Embedded Analytics and Empower Your End-Users With the Right Data

Jet Global

These costs are not always visible when companies plan for their analytics offering but can significantly impact production, scale, and the speed of bringing analytics to market. The challenge is collecting all that data into one place and making it understandable. Following along as we see why buying is better.

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Fivetran Modern Data Stack Conference 2023: Key Takeaways

Alation

Not to say that pragmatists alone are key to boardroom strategy sessions. We had a great time meeting with customers and demonstrating how a data intelligence platform delivers visibility across the data stack with demos. So, how can a data catalog support the critical project of building data pipelines?