Data Quality Metrics Risk Management Visualization 
FineReport
APRIL 9, 2024
The integration of AI and machine learning into BI tools is revolutionizing the processing and analysis of data, propelling organizations toward more accurate forecasting and proactive decision-making. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.
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. There are at least four major ways for data scientists to find bugs in ML models: sensitivity analysis, residual analysis, benchmark models, and ML security audits. Sensitivity analysis.
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Sisense
SEPTEMBER 3, 2020
Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports. Data job titles: Bridges between roles.
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.
DataRobot Blog
JULY 21, 2022
Data scientists need to understand the business problem and the project scope to assess feasibility, set expectations, define metrics, and design project blueprints. If there is no forward-looking predictive component to the use case, it can probably be addressed with analytics and visualizations applied to historical data.
IBM Big Data Hub
DECEMBER 4, 2023
Migrating to Oracle requires thorough planning whether a business intends to adopt the platform for the management of a single process—such as finance or human resources—or migrate the entire organization’s operations into the cloud. Data quality: Ensure migrated data is clean, correct and current.
datapine
AUGUST 29, 2022
Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.
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