SigmaWay Blog

SigmaWay Blog tries to aggregate original and third party content for the site users. It caters to articles on Process Improvement, Lean Six Sigma, Analytics, Market Intelligence, Training ,IT Services and industries which SigmaWay caters to

Latest Technology Trends in Logistics World  

How will these emerging technologies and evolving business models be adapted to and used in developing countries? Consider three trends that are rapidly developing, both in the logistics space and elsewhere: the Omni-Channel Approach, the Sharing Economy and Big Data.Shipwire provides a logistics marketplace of value-added services, allowing companies to send inventory to any warehouse and store on demand, by providing integrated order-entry systems that handle the pickup and delivery of goods.In this case, our “learning laboratory” looked at how emerging technologies and evolving business models can transform logistics systems – not just in advanced economies like Singapore, but also in developing countries in the East Asia and Pacific region and beyond.You can read more at:http://blogs.worldbank.org/trade/future-here-technology-trends-currently-shaping-world-logistics

 

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New trends in job posting

A recent study by MIT University shows that there is a 78% increase over the past three years in the job posting related to analytics and this led universities to launch specialized program in Master in Business Analytics. Nowadays, data analytics are used in marketing, finance, health care, logistics, insurance ecommerce, manufacturing and government services. To know more, please read the article by Michael Norton (Writer at lowellsun.com)-: http://www.lowellsun.com/business/ci_29635724/mit-reports-spike-analytics-job-postings

 

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Location Analytics: The Next Big Thing

Location analysis is a very important part of Big Data classification in automobile segment. Big data analysis is used in every stage of production and marketing of automobile industry.
Product Design – Data is collected from customers who would help them to make newer improved models.
Supply Chain – With the help of Big data analysis manufacturers can now analyze different suppliers based on various aspects and reach a decision.
Marketing – Helps in identification of the right kind of customers.
Aftermarket – Helps In improving logistic and sourcing processes.
Financing – It enhances the understanding regarding the market of each model.
Read more at: http://www.smartdatacollective.com/anandsmartdata/325598/big-data-automobiles-use-cases-today-and-opportunities-future

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Use of Analytics in Logistics

According to an article by Michael Passingham, a V3 reporter, DHL, a Global logistics firm, has been able to cut the cost of running its worldwide distribution network with the help of big data analytics.

External References:-

http://www.v3.co.uk/v3-uk/news/2302384/dhl-cuts-shipping-costs-with-big-data-analytics
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