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Data Visualization Can Transform a CXO’s Decision Process

The Data Visualisation Catalogue

The data visualization process that a company uses is going to directly impact the decision-making process of a CXO since they need a way to see the entire customer journey in an easily digestible format. Back in 2007, Harvard argued (in a review) that the customer experience was starting to spread into other areas of business.

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Back to the Financial Regulatory Future

Cloudera

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. Cultural shift and technology adoption: Traditional banks and insurance companies must adapt to the emergence of fintech firms and changing business models.

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

With the COVID-19 pandemic, the general public was forced to consume scientific information in the form of data visualizations to stay informed about the current developments of the virus. In 2007, Colgate was ordered by the Advertising Standards Authority (ASA) of the U.K. 4) Misleading data visualization.

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Teaching AI to Smell by Using DataRobot

DataRobot

It was introduced in 1980 but open-sourced in 2007, which created its widespread use. DataRobot’s AutoML uses different feature engineering techniques and a variety of machine learning algorithms to identify the best model for multilabel classification. The best model for this dataset is a Keras-based neural network.

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Time Series with R

Domino Data Lab

One of the most common ways of fitting time series models is to use either autoregressive (AR), moving average (MA) or both (ARMA). These models are well represented in R and are fairly easy to work with. AR models can be thought of as linear regressions of the current value of the time series against previous values.

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Data Management Ensures Basel III and IV Compliance

Octopai

The excessive financial risk-taking engaged in by banks on the eve of the 2007-2009 financial recession prompted new regulations to strengthen the supervision, regulation and risk management of banks. IRB (internal-ratings based) models were absolutely fine under Basel II. They partially got their wish. . of the SA result. .

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How Automated Data Lineage Simplifies FRTB Regulatory Compliance

Octopai

Standardized vs. Internal Models. Basel III sets out a standardized model for capital requirements for banking and trading activities. This model (predictably) demands higher amounts of capital reserve than the models banks were accustomed to using. Internal models are much more restricted and regulated than before.

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