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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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Only engaged service teams can deliver next-level customer loyalty in an era of uncertainty

CIO Business Intelligence

They’re people — each with their own unique circumstances at home, families to support, and worries about the uncertainty that comes with a volatile global pandemic. By investing in an engaged workforce, service leaders provide their agents with an opportunity to be more creative, present, and honestly, themselves.

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Managing Seasonal Fluctuations in Retail with Analytics

Smart Data Collective

One of the biggest benefits of data analytics is that it helps companies improve stability during times of uncertainty. Data Analyst Solomon Nyamson wrote an article on Linkedin pointing out that predictive analytics tools like Sarima have made it easier than ever to forecast retail sales due to seasonal changes.

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Decision-Making in a Time of Crisis

O'Reilly on Data

But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. This essay is about how to take a more principled approach to making decisions under uncertainty and aims to provide certain conceptual and cognitive tools for how to do so, not what decisions to make.

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7 Keys to Effective Planning, Budgeting, and Forecasting

Jet Global

In most companies, planning, budgeting, and forecasting processes are fairly well-established, but just because you’ve always done things a certain way doesn’t mean you can’t improve them. That, in turn, helps leaders to plan effectively for a range of circumstances, allowing for greater flexibility to accommodate uncertainty.

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Certinia uses AI to accelerate finance functions for service companies

CIO Business Intelligence

The company is focusing on automating financial processes so workers can concentrate on the strategic aspects of their businesses, said Dan Brown, Certinia’s chief product and strategy officer, in a conference call to present the new release to press and analysts.

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.