FineReport

AUGUST 13, 2021

Insurance companies provide risk management in the form of insurance contracts. Industry-specific, comprehensive, and reliable data management and presentation have become an issue of increasing concern in the insurance industry. The insurance dashboard is one of the most commonly used data display methods.

Insurance 52

Insurance Dashboards KPI Analytics 52

AWS Big Data

FEBRUARY 1, 2024

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. The calculation methodology and query performance metrics are similar to those of the preceding chart.

Data Warehouse 122

Data Warehouse Dashboards Risk Management Risk 122

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. I am head of Products here, which comprises of R&D, Product Management and Global Customer support.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

AUGUST 14, 2023

Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). Monitoring and Event Management X X. Examples may include associated revenue, savings, or reductions in operational losses.

Management 76

Management Risk Measurement Optimization 76

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. Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Define project scope.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. The ability to measure results (risk-reducing evidence). Interactive media plays a much larger role in our work than merely the presentations or blog posts.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52