DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

Risk 52

Risk Modeling Metrics Business Objectives 52

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. While our analysis of each method may appear technical, we believe that understanding the tools available, and how to use them, is critical for all risk management teams.

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. Product/market fit is THE most important factor to get right.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

APRIL 5, 2021

Financial modeling involves combining key accounting, finance, and business metrics to build an abstract representation, or model, of a company’s financial situation. Risk management. For example, the capital budgeting model that we talk about later in this post will make use of the DCF model for some of its metrics. .

Modeling 98

Modeling Forecasting Metrics Finance 98

CIO Business Intelligence

JANUARY 26, 2023

Tracking costs is just one small part of a system that is constantly gathering statistics and watching for anomalies. Many of the tools are customer-facing solutions like IT automation, but there are also more backend tools for optimizing IT operations by intelligently managing performance.

Management 113

Management Forecasting Dashboards Optimization 113

Insight

FEBRUARY 19, 2020

Building Models to Predict Movie Profitability Here I use profitability as the metric of success for a film and define profitability as the return on investment (ROI). I used XGBoost as my regression model as I found that it slightly outperforms random forest regression when using the root-mean-square error (RMSE) as the goodness metric.

Risk 67

Risk ROI Modeling Metrics 67

Corinium

APRIL 25, 2019

Life insurance needs accurate data on consumer health, age and other metrics of risk. For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. And more recently, we have also seen innovation with IOT (Internet Of Things).

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Jet Global

MAY 9, 2024

Job schedulers help coordinate the pipeline’s different stages and manage dependencies between tasks. Monitoring can include tracking performance metrics such as execution time and resource usage, and logging errors or failures for troubleshooting and remediation.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Andrew White

JANUARY 11, 2021

Value Management or monetization. Risk Management (most likely within context of governance). Product Management. But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52