Jet Global

MARCH 17, 2020

Elsewhere, it was the worst weekly decline for stocks since the 2008 financial crisis. Financial planning is only as good as the data that supports the calculations. Rolling forecasts that incorporate data collected from local managers provide the financial intelligence business need to guide their actions.

Forecasting 97

Forecasting Sales Marketing Finance 97

Alation

JULY 15, 2022

In the Cambridge Analytica case, the company went from a data strategy focused on monetisation by increased revenue to company closure due to the reputational damage from the negative media and public response. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

datapine

NOVEMBER 19, 2019

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

Occam's Razor

OCTOBER 14, 2014

But it is often a million times simpler to create your first set of benchmarks using your own data/performance. If you've read my first book Web Analytics: An Hour A Day, you know that I've advocated this strategy since 2008! There are four reasons, again from Web Analytics: An Hour A Day, from 2008 (!):

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

The Unofficial Google Data Science Blog

APRIL 17, 2017

They can arise from data collection errors or other unlikely-to-repeat causes such as an outage somewhere on the Internet. If unaccounted for, these data points can have an adverse impact on forecast accuracy by disrupting seasonality, holiday, or trend estimation. Journal of personality and social psychology 107.2 2014): 276.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Domino Data Lab

JULY 22, 2019

If you look into the middle bucket, they have three things that they report in common. One is data quality, cleaning up data, the lack of labelled data. Now, working down to the mature part of this, they report two things in common. What do they report in common? You know what? and that gap is widening.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109