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The complex and dynamic nature of logistics, along with the reliance on many moving parts that can create bottlenecks at any point in the supply chain, make logistics a perfect use case for big data. For example, big data logistics can be used to optimize routing, to streamline factory functions, and to give transparency to the entire supply chain, for the benefit of both logistics and shipping companies alike. All of these data sources and potential use cases have lead DHL to say that big data and automation technology will lead to “previously unimaginable levels of optimization in manufacturing, logistics, warehousing and last mile delivery”. Big data in logistics can be used to reduce inefficiencies in last mile delivery, provide transparency to the supply chain, optimize deliveries, protect perishable goods, and automate the entire supply chain.

We have already given you our top 12 data visualization books, top eight business intelligence books, and top ten data analytics books. Learn how data sets interact with queries and understand the importance of subqueries Whether you need to write database applications, perform administrative tasks or utilize a SQL report builder, this book is one of the best books to learn SQL. Broken down into a host of priceless real-world situations and scenarios, this amazing beginner’s book on SQL offers a background into the language’s syntax, set-up instructions, a sample database, and 57 real-world problems and challenges that will help you to grasp the foundations of SQ, taking your skill set to an entirely new level. One of the best beginners’ books on SQL for the analytical mindset, this masterful creation demonstrates how to leverage the two most vital tools for data query and analysis – SQL and Excel – to perform comprehensive data analysis without the need for a sophisticated and expensive data mining tool or application.

In Healthcare There’s a huge need for big data in healthcare as well, due to rising costs in nations like the United States. And current incentives are changing as well: many insurance companies are switching from fee-for-service plans (which reward using expensive and sometimes unnecessary treatments and treating large amounts of patients quickly) to plans that prioritize patient outcomes As the authors of the popular Freakonomics books have argued, financial incentives matter – and incentives that prioritize patients health over treating large amounts of patients are a good thing. All in all, we’ve seen through these 12 examples of big data application in healthcare three main trends: the patients experience could improve dramatically, including quality of treatment and satisfaction; the overall health of the population should also be improved over time; and the general costs should be reduced. Let’s have a look now at a concrete example of how to use data analytics in healthcare, in a hospital for instance: This healthcare dashboard provides you with the overview needed as a hospital director or as a facility manager.

They raised $88M in Q1, followed by $85M in Q2 and a $350M Series G round In Q3. In Q1, they raised a $20M Series B round and followed that with an additional $60M Series C round in Q3. SoundCloud kicked off Q1 with an announcement that they raised a Series D round of $60M and are now valued at $700M. SoundCloud continued to have an interesting year with whispers of being acquired by Twitter, and rounded out 2014 with the announcement of a music subscription service and a partnership with Warner Music. The median Series D+ for 2014 was $85,000,000 and the mean was $126,600,000: Delivery Hero raised $88M in Series E, followed by $85M in Series F and a $350M Series G round In Q3.