Octopai

JUNE 16, 2021

Basel III was drafted in 2010, with finalization and implementation set to take place over the next several years. IRB (internal-ratings based) models were absolutely fine under Basel II. That left plenty of room open for banks to choose the internal models that proved that they didn’t need all that much capital.

Management 52

Management Risk Management Risk Visualization 52

O'Reilly on Data

JULY 20, 2021

When we’re building shared devices with a user model, that model quickly runs into limitations. That model doesn’t fit reality: the identity of a communal device isn’t a single person, but everyone who can interact with it. This measurement of trust and risk is benefited by understanding who could be in front of the device.

Risk 303

Risk Software Interactive Modeling 303

FineReport

APRIL 26, 2023

For example, a computer manufacturing company could develop new models or add features to products that are in high demand. With Big Data Analytics, businesses can make better and quicker decisions, model and forecast future events, and enhance their Business Intelligence. How to Choose the Right Big Data Analytics Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Occam's Razor

SEPTEMBER 15, 2014

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement.

Metrics 141

Metrics Reporting Analytics Marketing 141

Timo Elliott

JANUARY 10, 2022

Most people rent skis rather than buying, because it’s easier and cheaper and more convenient — so why not apply that model to more things? I also loved the episode The Race to Zero: Regenerative Business Models for a Sustainable Future. I’ve been talking about them for a long time. with the CTO of SAP Fieldglass.

Data Processing 121

Data Processing Manufacturing Machine Learning Technology 121

The Unofficial Google Data Science Blog

JULY 22, 2020

For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. Ramp-up solution: measure epoch and condition on its effect If one wants to do full traffic ramp-up and use data from all epochs, they must use an adjusted estimator to get an unbiased estimate of the average reward in each arm.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Occam's Razor

JULY 26, 2010

If today you are a content site that is only focused on measuring content consumed try to go deeper to understanding CPA of the ads or Visitor Loyalty. 3: Measure complete site success. Measure everyone's success. But donations is just one measure of success (" macro conversion "). So why not measure those?

Metrics 96

Metrics Measurement Dashboards Reporting 96

Occam's Razor

FEBRUARY 20, 2012

My normal recommendation to address this supremely corrosive issue is to encourage each company to go through the process of creating a Digital Marketing and Measurement Model. What content areas seem very expensive to create (hence more important to measure if they are adding any value!)? It is that simple. Through data.

IT 138

IT Measurement Marketing Metrics 138

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though More Policies Emerged” (2010-2018). credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Occam's Razor

JANUARY 6, 2010

Before all the excitement of the new year wears out, here are five simple things I would love for you to try so that your company will have a glorious truly data driven 2010! #1: You don't have to be armed with the knowledge of how to create various models or be able to jump into SAS and get naked with it. 1: Don't suck.

Analytics 99

Analytics IT Statistics Metrics 99

Occam's Razor

MARCH 23, 2010

Too many new things are happening too fast and those of us charged with measuring it have to change the wheels while the bicycle is moving at 30 miles per hour (and this bicycle will become a car before we know it – all while it keeps moving, ever faster). our measurement strategies 2. success measures. Usually for free.

Analytics 118

Analytics Consulting Metrics Experimentation 118

The Unofficial Google Data Science Blog

AUGUST 27, 2019

The measurement may be biased if our samples are generated from a procedure that samples without replacement, such as reservoir sampling , especially if some items have disproportionate weight, i.e., $p(v_i) cdot n$ is large. Statistics in Biopharmaceutical Research, 2010. [4] 4] William Cochran (1977).

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Occam's Razor

JUNE 11, 2014

According to eMarketer in 2010 we spent 3:11 (hrs:min) on digital content consumption and 4:24 on TV in the US. From a data perspective this is reflected in our obsession with multi-channel attribution modeling or user based visitor segmentation. I have an option to measure myself, or convert from international sizes.

Marketing 150

Marketing Strategy Sales IT 150

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Selection bias and survivorship bias When we slice a population by some factor or combination of factors and compute a metric over the new sub-populations, we are implicitly specifying a model (the metric is a function of the slicing factors) and testing a hypothesis. What is to be done? References [1] Efron, B. 2] Palese P, Wang TT.

Experimentation 61

Experimentation Testing Statistics Metrics 61