Book Forecasting Strategy Uncertainty 
Sisense
APRIL 13, 2020
In fact, reading books and listening to audiobooks is up 35% worldwide as of March 2020, due to the COVID-19 pandemic. I asked my Sisense colleagues to share some of their favorite book titles that they have loved and learned from. In that spirit, one thing we all have in common is that we’re all online. Davenport and Jeanne G.
O'Reilly on Data
JUNE 16, 2020
We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. But when making a decision under uncertainty about the future, two things dictate the outcome: (1) the quality of the decision and (2) chance. Mike had made the common error of equating a bad outcome with a bad decision.
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Jet Global
FEBRUARY 2, 2023
Due to the Infrastructure Investment and Jobs Act of 2022 in the United States, nonresidential construction is expected to continue expanding despite expected uncertainty in 2023. The Construction Products Association’s (CPA) Autumn Forecast predicts the construction market in the UK will fall by 3.9% trillion worldwide by 2030.
Jet Global
MARCH 30, 2021
Tax planning is playing an increasingly important part in corporates’ enterprise resource management (ERM) strategies, driven by the many uncertainties created by political, economic, and pandemic-related trends. Reputational management is another driver for boards to build tax planning into ERM strategies.
Jet Global
JANUARY 31, 2022
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. In many respects, strategy is as much about deciding what is less important as it is about specifying what is most important. Sharpen Your Tools.
Jet Global
OCTOBER 18, 2021
Factory shutdowns, shipping bottlenecks, and shortages of raw materials have led to substantial uncertainty for businesses seeking to address the vicissitudes of supply-side availability. The “What” and “Why” of Demand Planning and Forecasting. Demand forecasting is about predicting potential spikes or troughs in demand.
The Unofficial Google Data Science Blog
APRIL 17, 2017
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.
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