Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. In doing so, Bank of the West has modernized and centralized its Big Data platform in just one year.

Data Lake 76

Data Lake Cost-Benefit Digital Transformation Risk 76

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. We offer two examples where this may be the case.

Experimentation 95

Experimentation Statistics Testing Strategy 95

IBM Big Data Hub

JULY 31, 2023

Banks have the most to gain if they succeed (and the most to lose if they fail) at bringing their mainframe application and data estates up to modern standards of cloud-like flexibility, agility and innovation to meet customer demand.

Digital Transformation 51

Digital Transformation Uncertainty Risk Data Warehouse 51

Sisense

OCTOBER 6, 2020

Additionally, quantitative data forms the basis on which you can confidently infer, estimate, and project future performance, using techniques such as regression analysis, hypothesis testing, and Monte Carlo simulations. Better together: Working with qualitative data and quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

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

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Transparency and Data-Driven Business Solutions. Statistical reliability is crucial in order to ensure the precision and validity of the analysis.

Statistics 363

Statistics Advertising Visualization Data mining 363

Domino Data Lab

JUNE 23, 2019

As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. As quickly as possible, you want to get designers and data scientists, machine learning folks together and using real data and prototyping and testing.

Management 110

Management Machine Learning Experimentation Metrics 110

The Unofficial Google Data Science Blog

MARCH 31, 2016

Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems. In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. bandit problems). ICML, (2005). [3]

Modeling 40

Modeling Statistics Advertising Testing 40

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

One purpose of data science is to inform actual “business decisions”, or, more precisely, decisions of importance to the team or community served by the data scientist. The beliefs of this community are always evolving, and the process of thoughtfully generating, testing, refuting and accepting ideas looks a lot like Science.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45