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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. He has delivered hundreds of millions of dollars of impact to his clients in High-Tech CPG and Manufacturing Industries, particularly in the areas of demand forecasting, inventory and procurement planning. Transcript.

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How Etihad taps data science to optimise airline operations

CIO Business Intelligence

Based in Abu Dhabi and in operation since 2003, in recent years Etihad has used a data lake and a unified set of AI-driven analytics tools to optimise staffing, the handling of passengers, and responses to customer inquiries. Using the Dataiku platform, Etihad built a forecasting system to model and predict passenger arrivals.

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3 powerful lessons of using data governance frameworks

CIO Business Intelligence

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. The biggest value comes when you can implement end-to-end use cases—combining manufacturing with sales forecast planning, for example.”

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An Overview of Sales Analytics in Event Industry

BizAcuity

Sales Analytics is used to determine the success of the previous sales drive and forecast in addition to determine how future sales will fare. Some businesses in 2003 started using predictive analytics generating an average Return on Investment or ROI of 145% as per the study that was undertaken by IDC.

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What Will Drive Innovation in this Great Reset

Andrew White

This enthusiasm for the topic hearkens back to Erik Brynjolfsson’s popular opine from a paper in 2003 (Computing Productivity: Firm Level Evidence): we see productivity growth all around us; just not in the data. Gartner’s Forecast Analysis: Global Recession Scenario is bleak reading. I was wrong in the blog, of course.

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7 public health data modernization lessons from Canada’s superior COVID-19 response

IBM Big Data Hub

A proactive approach to the threat of a global health crisis After the SARS outbreak in 2003, federal and provincial governments in Canada recognized that their existing public health systems and IT were inadequate.