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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

Big Data Increasing Daily Profit

Big Data is nowadays drastically affecting people's lives by its various uses. 1) With the growing population, infrastructure also have to grow. Hence, Transport for London (TFL) is going through a data-driven approach to increase the network access across England's capital city. This helps in informing people about alternatives when there are closures in a route. 2) With considerable growth, the necessity to plan proper waste management has increased. Greater Manchester Waste Disposal Authority (GMWDA) in UK collects data to increase the recycling level to move more towards a sustainable age. 3) Accuracy of weather forecasting is increasing with the help of big data using complex and more accurate devices. It still isn't perfect but is on the track to get that accuracy helping outside worker plan ahead of time. Read more about this article by Chris Towers (Big Data Divisional Head) at: https://channels.theinnovationenterprise.com/articles/big-data-in-real-time

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Design Out Waste to get a Lean Process and Cost Savings

Stephen Covey, the renowned management thinker, said, Start with the end in mind.” Every organization aims at meeting few common ends i.e. safe workplace, save money, save space, save time in launching new processes, and increase flexibility. The means to achieving these ends is designing the process in such a way that it is lean as well as waste is minimized. If done at the starting stage, this will be more useful in cost reduction as per the Rule of 10.Robert H. Simonis, senior consultant, KCE Consulting LLC in his article in IndustryWeek, talks about how reducing different types of wastes bring benefits to the organizations. 

Read more at: http://www.industryweek.com/lean-six-sigma/design-out-waste-and-build-lean

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