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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 is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. The market for business intelligence services is expected to reach $33.5 top 5 key platforms that control the future of business intelligence impacts BI may have on your business in the future.

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Use Case Analysis for Business Intelligence Projects

Business Analysis Knowledge Share

This data, if harnessed effectively, can provide valuable insights that drive decision-making and ultimately lead to improved performance and profitability. This is where Business Intelligence (BI) projects come into play, aiming to transform raw data into actionable information.

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Everything You Need to Know About Real-Time Business Intelligence

Sisense

Today, real time business intelligence is a necessity more than a luxury, so it’s important to understand exactly what it is, and what it can do for you. What is Real-Time Business Intelligence? Why is Real-Time BI Crucial for Organizations? Who Uses Real-Time BI?

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The Great Data Delivery: How to Build a Stronger Supply Chain

Domo

Supply chains aren’t generally top of mind for consumers—until, of course, that supply chain breaks down. Everything from natural disasters to labor disputes to pandemics can throw a supply chain into disarray. Strong supply chain management is essential. Read the rest of the story.

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OLTP and OLAP: Two Sides of the Same Data Coin?

Astera

This results in efficient data storage and retrieval Optimized for write operations: OLTP systems optimize write operations, allowing them to handle a large number of data inserts, updates, and deletes efficiently.This is critical for applications that require real-time data updates. What is OLAP?

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Fundamentals of Data Analytics

The BAWorld

Tools and Technologies in Data Analytics The foundation of data analytics is made up of these tools and technologies, which enable experts to gather, examine, and visualize data in order to make deft decisions. Key Features: User-friendly interface for data manipulation and visualization.