DataRobot Blog

JUNE 27, 2022

In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

Risk 59

Risk Modeling Metrics Measurement 59

datapine

APRIL 21, 2022

An accounting department may consider leveraging electronic contracts, data collecting, and reporting as a part of the digital transition. In other words, it means employing technology to constantly improve the whole company model, including its offerings, customer service, and operations. Approach To Digital Marketing.

Digital Transformation 206

Digital Transformation Marketing Advertising Scorecard 206

AWS Big Data

JUNE 14, 2023

We’ve made a big impact with QuickSight because it doesn’t require in-depth knowledge about data visualizations to build dashboards and provide insights, empowering our users to build what they need. This empowers EMs to avoid building disparate local reporting that creates logic inconsistencies and data security issues.

Dashboards 76

Dashboards KPI Scorecard Metadata 76

FineReport

APRIL 26, 2023

For example, a computer manufacturing company could develop new models or add features to products that are in high demand. ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Having visually appealing graphics can also increase user adoption.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Jet Global

SEPTEMBER 1, 2023

By integrating predictive models directly into the application, developers can provide real-time recommendations, forecasts, or insights to end-users. These include data privacy and security concerns, model accuracy and bias challenges, user perception and trust issues, and the dependency on data quality and availability.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52

AWS Big Data

JUNE 21, 2023

Typical use cases for DynamoDB are an ecommerce application handling a high volume of transactions, or a gaming application that needs to maintain scorecards for players and games. In traditional databases, we would model such applications using a normalized data model (entity-relation diagram).

Data Warehouse 80

Data Warehouse Data Lake OLAP Cost-Benefit 80

In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Thanks to The OLAP Report for lots of great market materials. We Couldn’t Get the Answers”.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40