Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. These examples are well covered by many others (e.g.,

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Jet Global

APRIL 2, 2020

Finance teams face twin challenges. Discover how that applies to your own business by exploring some of the most common questions finance teams are seeking to answer today, along with the advice we recommend. Be Ready to Answer Any Finance Question Thrown at You. Sales Scenario Planning. Contact us today.

Finance 64

Finance Forecasting Uncertainty Sales 64

Jet Global

SEPTEMBER 10, 2020

Living through periods of rapid upheaval and uncertainty, like the recent pandemic, forces us to adapt quickly to new working practices. Add to that the additional users and number of planning models you now create. One of the long-lasting lessons learned from COVID-19 is that the old way of planning doesn’t work anymore.

Forecasting 52

Forecasting Finance Uncertainty Sales 52

Jet Global

NOVEMBER 4, 2020

Intangible-asset transactions present a challenge when organizations are quantifying prices and profits to serve their transfer pricing models. Certain authorities may have different preferences or expectations when it comes to adjustments, even in a period of economic uncertainty.

Risk 98

Risk Uncertainty Sales Strategy 98

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Jet Global

OCTOBER 21, 2020

The way we perceive business risk, and how we manage it, is fundamentally different for every finance leader on the planet. Traditionally, planning is performed on a quarterly, bi-annual, or annual basis by finance departments, with a big push for the annual budget. Why change the process? What is continuous planning?

Forecasting 98

Forecasting Finance Business Driver Key Performance Indicator 98

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. Here, day-of-week is a time-based confounder.

Experimentation 95

Experimentation Statistics Testing Strategy 95

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Andrew White

MARCH 6, 2021

Given that the article is published in the Exchange section those implications are related to business and finance. You can model the changing dynamics of the demand for your markets; you can model inflation and interest rates over the same time frame. We use models. We have hypothesis and we test them.

Marketing 52

Marketing Forecasting Uncertainty Strategy 52

BI-Survey

FEBRUARY 14, 2022

Overnight, the impact of uncertainty, dynamics and complexity on markets could no longer be ignored. Local events in an increasingly interconnected economy and uncertainties such as the climate crisis will continue to create high volatility and even chaos. Think beyond finance. Is our chosen technology still fit for purpose?

Forecasting 52

Forecasting Uncertainty Measurement Software 52

O'Reilly on Data

DECEMBER 9, 2019

Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment. For example, if a stock has a beta of 1.4

Statistics 27

Statistics Uncertainty Risk Marketing 27

bridgei2i

JUNE 11, 2020

If nothing else, this anecdote offers valuable insight into the impact that uncertainty of any kind has on consumer behaviour; it triggers volatility. The immediate factor guiding consumer demand behaviour in CPG is Fear— fear of uncertainty, fear of losing incomes, fear of falling sick, fear of running out of essentials etc.

Digital Transformation 52

Digital Transformation Sales Uncertainty Forecasting 52